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Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The AI Investing team’s mission is to leverage AI to transform the way people invest, making smarter financial decisions more accessible to everyone. We’re focused on creating cutting-edge AI-driven products that unlock new possibilities for our users and redefine the future of finance.

As Product Manager for AI Investing, you will define and lead the strategy for how Robinhood uses AI to enhance investment experiences. You’ll collaborate with cross-functional teams to launch innovative AI-driven features that empower users and shape the future of investing.

This role is based in Menlo Park, CA or Bellevue, WA, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

Develop the vision, strategy, and roadmap for how AI will transform investing at Robinhood.
Collaborate with cross-functional teams to define and deliver transformative AI experiences for our users.
Work closely with teams across the company to integrate AI in innovative and thoughtful ways.
Foster a culture of experimentation, learning, and iteration while thinking big and ambitious.
Lead the launch of new AI-driven investment products, empowering customers to make smarter decisions.

What you bring

5+ years of experience building and launching high-quality consumer products.
Proven expertise in defining and developing AI-powered products that drive innovation.
Familiarity with experimentation platforms and A/B testing for ML systems, and experience with fine-tuning and ML optimization techniques.
Exposure to LLMs, recommender systems, NLP, or reinforcement learning; experience with Agentic AI is a plus.
Strong leadership, communication, and relationship management skills, with the ability to translate complex technical concepts for a broader audience.

What we offer

Challenging, high-impact work to grow your career
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$191,000—$225,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$168,000—$198,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$150,000—$176,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

","hiringOrganization":{"@type":"Organization","name":"Robinhood","sameAs":"https://robinhood.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA; Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Product Manager, AI Platform","datePosted":"2025-08-01","description":"

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

At Komodo Health, we believe that artificial intelligence is at the heart of how we will continue to address our mission. The Komodo Platform powers both internal and partner development on our Healthcare Map foundation. We’re looking for a visionary Senior Product Manager, AI Platform to lead the development of platform AI capabilities, empowering every Komodo team, as well as our external partners, to seamlessly integrate AI into their products and accelerate the creation of AI-native applications. You'll work at the intersection of product, engineering, and data science, building the tools and services that democratize AI creation.

Looking back on your first 12 months at Komodo, you will have…

Defined and executed the product strategy for Komodo's internal AI platform, ensuring it meets the diverse needs of all consuming teams and aligns with company-wide initiatives.
Created a 6-12 month roadmap with outcome-oriented milestones and metrics, and reported on those metrics on a regular cadence
Driven the development of tools and frameworks that simplify AI integration, allowing both internal and external teams to easily leverage machine learning models, natural language processing, and other AI capabilities.
Accelerated the development of AI-native applications by providing intuitive SDKs, APIs, and MLOps tools that streamline the entire AI lifecycle for all users.
Championed the creation of an \"agent factory,\" enabling anyone within Komodo or our partner ecosystem to design, build, and deploy AI agents for various tasks and workflows.
Established and maintained controls and governance for AI development, ensuring responsible, ethical, and compliant AI practices.
Established an operating rhythm around internal and customer feedback, translating needs into clear product specifications
Engaged throughout the AI stack, from foundational infrastructure and data pipelines to model deployment and application-level integration, ensuring a cohesive and performant end-to-end experience.
Evangelized the platform's capabilities and provided guidance and support to internal and external teams.
Served as an SME on the product team for trends AI technology and customer usage, sharing knowledge across our organizatio\n
- Previous experience in SaaS product management, with a strong focus on AI/ML infrastructure/platforms/developer tools.
- Deep understanding of the AI/ML landscape and trends, including various model types, training methodologies, deployment strategies, and MLOps principles.
- Proven experience building products that empower developers to be more efficient and productive
- Familiarity with ethical AI considerations in regulated industries, such as healthcare.
- Excellent product fundamentals:
- Comfort navigating ambiguity to find clarity and direction
- Prior experience in agile environments, with the ability to translate strategy into clear execution plans
- Passion for solving problems in healthcare/life sciences
\n
- You are expected to be a power user and an advocate for leveraging AI in your daily work, constantly exploring and applying AI tools to enhance your productivity and the quality of your output.
\n
Nice to have:
\n
- Experience building products for life sciences/healthcare
- Experience with Healthcare data
- Experience with two-sided marketplaces
- Experience working in a high growth startup
\n

#LIRemote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City:$151,000—$205,000 USDAll Other US Locations: $132,000—$178,000 USD

Komodo's AI Standard

At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.

What We Offer

Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

The mission of the Foundation AI group is to enable Roblox Creators to accelerate their workflows and to put AI in the hands of millions of users through their creations. We envision a future in which experiences on Roblox leverage generative text and speech capabilities to enable new forms of interactions in their experiences and generative 3D capabilities to allow new ways to create on the platform.

We built our in-house AI/ML Platform to provide a unified framework for all Roblox teams to accelerate the delivery of AI features to the community. We continuously improve our platform and API framework, upgrade our data tooling to enable use cases such as Retrieval Augmented Generation, Knowledge Graph, Labelling platform, and are working to establish a robust evaluation framework to ship AI capabilities with high confidence. In addition, we are launching AI APIs to our creator community so they can allow their players to use AI. This means that our platform has to scale up to millions of DAUs.

As the Product Leader for the AI Platform team, you will define and drive the vision and strategy for AI at Roblox. You will own our vision and roadmap for enabling Roblox creations to leverage AI to unlock new forms of in-experience interaction and creation, and make every user a creator.

You will:

Work on the bleeding edge of AI Infrastructure and lead the strategy to expose parts of our AI infrastructure to the Roblox Creator Community.
Be the product DRI that leads the AI API strategy and roadmap to ship GenAI to millions of creators.
Continuously build and improve core elements of our AI Platform, which includes an Inference and Training stack and the AI Data ecosystem.
Understand the latest trends and technologies in the industry to provide the best, most creative platform to users.
Develop the key workflows that will emerge as a result of shipping new AI generative products to our community.
Communicate product needs and concepts to company partners and company executives.

You are:

Experienced, with 8+ years of product management experience, preferably with deep familiarity with AI Platforms and Infrastructure, with a degree in a technical field such as Computer Science
Experiences in at-scale product, APIs and services you can engage with engineering beyond just product and user needs; you can help design scalable solutions.
Hands-on and detail-oriented: You use your products, can opine deeply about what does/doesn’t work and are aware of all the corners and edges of the product
Creative with a high degree of independent drive, you are always keen to grow the limits

#LI-FO1
#LI-Onsite

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range$324,450—$375,590 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

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About the Role

Scale AI is building the engine for the next generation of enterprise software — shifting from passive \"Systems of Record\" to active \"Systems of Intelligence.\" We’re looking for an experienced Product Manager to shape the future of the Scale Generative AI Platform (Scale GP) — our enterprise-grade AI platform that powers knowledge retrieval, inference, evaluation, and more.

This role focuses on building the reusable, foundational platform services that enable the creation of powerful AI agents at scale. You’ll work at the intersection of customer solutions and core developer platform engineering, translating real-world needs into robust APIs, SDKs, and services that become the building blocks for all future development. You will also lead the end-to-end product lifecycle for core GenAI Platform capabilities, from discovery to launch. Working closely with forward-deployed engineering teams, you will uncover repeatable use cases and workflows from bespoke customer projects and transform them into scalable, reusable components.

Some examples of the platform services you might build include:

An agent-building, hosting, and communication framework for next-generation software development.
A deep research capability that can ingest and reason over thousands of pages of unstructured documents.
A Text-to-SQL intelligence application that makes data analysis accessible to non-technical users.

You Will:

Drive the development and launch of a toolkit of reusable platform components that accelerate the creation of AI agents.
Work with leadership and forward-deployed teams to define the product strategy for the GenAI platform.
Manage the end-to-end process of turning successful custom solutions into scalable, documented platform features.
Lead a cross-functional team of engineers, designers, and solution architects on complex platform projects.
Develop the processes and strategy for building a powerful, repeatable layer of intellectual property.

Ideally, You’d Have:

A technical degree in computer science, engineering, or equivalent experience.
4+ years of experience building platform, SDK, or enterprise-facing products.
A strong understanding of modern AI technologies and their applications in enterprise settings.
Experience building products for engineering users with a track record successful devx adoption
Experience working in a fast-paced, ambiguous environment at the intersection of customer delivery and platform development.
Excellent communication and leadership skills, with the ability to influence cross-functional teams.
Some coding experience (e.g., Python).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$156,000—$225,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

","hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Product Manager, Gen AI Platform","datePosted":"2025-08-11","description":"

About the Role

Some examples of the platform services you might build include:

An agent-building, hosting, and communication framework for next-generation software development.
A deep research capability that can ingest and reason over thousands of pages of unstructured documents.
A Text-to-SQL intelligence application that makes data analysis accessible to non-technical users.

You Will:

Drive the development and launch of a toolkit of reusable platform components that accelerate the creation of AI agents.
Work with leadership and forward-deployed teams to define the product strategy for the GenAI platform.
Manage the end-to-end process of turning successful custom solutions into scalable, documented platform features.
Lead a cross-functional team of engineers, designers, and solution architects on complex platform projects.
Develop the processes and strategy for building a powerful, repeatable layer of intellectual property.

Ideally, You’d Have:

A technical degree in computer science, engineering, or equivalent experience.
4+ years of experience building platform, SDK, or enterprise-facing products.
A strong understanding of modern AI technologies and their applications in enterprise settings.
Experience building products for engineering users with a track record successful devx adoption
Experience working in a fast-paced, ambiguous environment at the intersection of customer delivery and platform development.
Excellent communication and leadership skills, with the ability to influence cross-functional teams.
Some coding experience (e.g., Python).

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

We comply with the United States Department of Labor's Pay Transparency provision.

","hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Lead Product Manager - AI Platform","datePosted":"2025-08-19","description":"

About Oumi

Why we exist:
Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.

What we do:
Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.

Our Approach:
Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:

Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators.
Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide.

Role Overview:

We’re looking for our first Product Manager to own the Enterprise Platform roadmap. This is an extremely high impact role. You’ll be in the weeds with users, working side-by-side with engineers, and in front of the whiteboard figuring out strategy – and sometimes all in the same afternoon.

You’ll be the connective tissue between our customers, engineering, research, and GTM teams – turning cutting-edge capabilities into products enterprises can’t live without. You’ll thrive if you’re a self-starter and comfortable navigating ambiguity.

You will:

Drive the enterprise platform roadmap: set strategy, select priorities, define requirements, and deliver features that drive adoption, impact, and revenue.
Ensure we stay differentiated and ahead of the curve by integrating features for emerging model capabilities.
Go deep with customers: Engage with enterprise users to understand workflows, pain points, and needs and translate them into product features.
Partner with engineering: Collaborate closely with our engineering and research team to bring capabilities that move the needle into production.
Team up w/ GTM: Support sales cycles, onboard customers, and close the feedback loop.
Measure success: Oversee product launches, measure outcomes, and refine the product strategy based on user data, feedback, and evolving market trends, ensuring enterprise readiness.
Be a problem solver: Operate at a level 4-5 on this hierarchy.

What you’ll bring:

Experience: 5+ years of PM experience, including time spent on ML/AI platforms and/or developer tools.
Technical literacy: Comfortable developing features that touch model eval, finetuning, platform architecture with engineering teams.
Experience building enterprise-grade products with complex integrations, security requirements, and multiple user personas.
Exceptional execution skills: You can manage ambiguity, move fast, and deliver high quality outputs.
Quick learner: Ability to quickly get smart on unfamiliar technical and business domains.
Collaboration Skills: Excellent communication and the ability to work effectively with designers, backend engineers, and domain experts.
Values alignment: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.

Bonus points:

Experience:

Working at an early-stage startup
Productizing open-source projects for enterprise
Building AI evaluation/training platforms

Benefits:

Competitive salary: $150,000 - $220,000
Equity in a high-growth startup
Comprehensive health, dental and vision insurance
21 days PTO
Regular team offsites and events

","hiringOrganization":{"@type":"Organization","name":"Oumi","sameAs":"https://oumi.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bay Area, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Group Product Manager, Search AI Platform","datePosted":"2025-08-05","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience in product management or a related technical role.

Preferred qualifications:

5 years of experience taking developer-facing products from conception to launch.
5 years of experience working on infrastructure or developer platforms.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Product Management team for Google Search's AI developer platform is responsible for providing Search’s community of developers and product managers with the tools, SDKs, and platform capabilities to build AI search experiences on our Gemini models, from prototype to production. We are a key partner to product teams innovating products like AI Mode on tight timelines. We develop the requirements, design the workflows, and then build the tooling for AI-first methods of product and feature development.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Gather, understand, and synthesize developer pain points for your platform products and their corresponding critical user journeys.
Drive clarity within your engineering teams about outcomes, requirements, scope, and timelines, so that there is no ambiguity about the goal and how to get there.
Drive ultra-crisp execution with tech lead partners, favoring incremental improvements that delivers value to customers and aligns with strategic goals.
Communicate effectively to partner teams and stakeholders, about progress made in support of their goals, issues, and risks.
Collaborate cross-functionally (product management, engineering, program management) and cross-organizationally (infrastructure and platform functions such as ML serving, modeling, logging, UI, etc.) to deliver excellent results.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Technical Product Manager - AI Platform, Remote","datePosted":"2025-08-14","description":"Aledade is dedicated to transforming value-based care through innovative technology. Our AI Platform team is at the forefront, building the foundational tools, services, and infrastructure that empower internal product teams to seamlessly integrate cutting-edge AI capabilities into Aledade’s products and develop powerful internal AI solutions.
As a Technical Product Manager on the AI Platform team, you will be instrumental in defining and delivering the roadmap for our internal AI ecosystem. You will partner closely with engineering peers, collaborate with diverse internal product teams, and work with business and clinical leadership to ensure our AI platform optimizes for efficiency, innovation, and value across the organization.
\n

Primary Duties:

Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective.
Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & user feedback
Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution.
Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes.
Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.

Minimum Qualifications:

6+ years of product management experience in technology, technology-enabled services industry, or a SaaS product.
Experience using data and primary research to inform solution design and build internal business understanding.
Experience with and understanding of the software development lifecycle and software development methodologies. Preferably experience with Agile / Scrum teams.
Product development experience in the context of the development of a healthcare technology product.

Preferred Knowledge, Skills and/or Abilities:

Experience working on or leading products for an AI/ML platform team and building a platform to scale vertically and horizontally.
Proven track record of building and launching AI/ML platforms, tools, or internal services that enable other product teams.
Deep understanding of the AI/ML lifecycle, MLOps, and scalable AI infrastructure (e.g., model training, deployment, monitoring, observability, reliability).
Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs.
Strong ability to translate technical concepts and platform capabilities into value propositions for diverse internal stakeholders.
Comfort managing a broad set of stakeholders across various internal product and engineering teams.
Experience in a healthcare technology environment.

Who We Are:Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.
What Does This Mean for You?At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission.
In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members:
Flexible work schedules and the ability to work remotely are available for many rolesHealth, dental and vision insurance paid up to 80% for employees, dependents and domestic partnersRobust time-off plan (21 days of PTO in your first year)Two paid volunteer days and 11 paid holidays12 weeks paid parental leave for all new parentsSix weeks paid sabbatical after six years of serviceEducational Assistant Program and Clinical Employee Reimbursement Program401(k) with up to 4% matchStock optionsAnd much more!
At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.
Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants","hiringOrganization":{"@type":"Organization","name":"Aledade","sameAs":"https://www.aledade.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Product Manager - AI Platform, Voice & Mobile","datePosted":"2025-07-18","description":"

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Box is transforming the way businesses manage and leverage content by incorporating cutting-edge artificial intelligence and machine learning capabilities into the Box Content Cloud. As a Senior Product Manager for Cross-Platform, Voice, and Mobile, you will play a key role in shaping how our AI-driven solutions work across the different modalities and devices Box supports.

In this role, you will drive thinking for how Box can best serve our customers working away from their desk, on the job site, or while on the go. You’ll incorporate your knowledge of existing mobile technologies and UX patterns with new innovations in spaces such as Voice AI to provide a world class user experience on multiple devices. You’ll define and execute product roadmaps that leverage AI technologies, such as large language models (LLMs) and retrieval-augmented generation (RAG), to unlock simplified workflows and improve collaboration across global enterprises. Your work will directly impact how businesses across the world manage and extract value from their content at scale.

If you're passionate about defining and leading mobile product strategies, bringing AI solutions to market, and driving real-world business impact, this is your chance to lead a high-impact role in the next chapter of Box’s growth.

WHAT YOU'LL DO

Lead the strategy, development, and execution of our Mobile, Voice, and Cross-Platform strategy and tie together the advancements Box is making on web with the most valuable experiences on smaller screens.
Define and own a technically complex product area, balancing the needs of internal stakeholders, enterprise customers, and the rapidly evolving field of AI-driven content management.
Lead end-to-end product development, from identifying business problems to building solutions, executing product roadmaps, and driving iteration based on user feedback and data.
Launch mobile and voice powered products that deliver measurable results, validating product-market fit and scaling applications across enterprise use cases.
Collaborate with engineering, design, data science, and other internal teams to ship products that make our users’ work lives better.
Establish a metrics-driven approach to product development, conducting A/B testing and performance evaluations to improve product outcomes.
Work closely with cross-functional teams, including marketing, customer success, and sales, to ensure that products meet customer needs and business goals.
Stay up-to-date with advancements in AI and machine learning, ensuring Box remains at the forefront of enterprise AI innovation.
Lead go-to-market strategies, partnering with key teams to effectively communicate the value of Box products to enterprise customers.

WHO YOU ARE

You have a proven track record of launching successful mobile products at scale, with experience in enterprise or consumer AI applications that are used in the market today.
You have strong product management rigor, with experience in user research, defining and tracking product metrics, and delivering measurable results.
You possess a strong technical background, and you have experience working with data scientists, machine learning engineers, and cross-functional teams to bring solutions to market.
You are experienced with user experience design and have a proven track record of working with design partners, user research, and data to make informed decisions about how best to bring users an experience that meets their needs and delights them along the way.
You are comfortable driving product strategy, starting small, iterating quickly, and scaling products to deliver enterprise-grade solutions.
You have deep knowledge of enterprise SaaS products, with the ability to understand and deliver on the unique needs of enterprise customers.
You have experience collaborating with engineering teams to design and deliver collaboration solutions.
You have a minimum of 4+ years of product management experience in mobile, AI/ML, enterprise SaaS, or cloud platforms.
You hold a technical degree in Computer Science, HCI, or related fields, with practical experience in UX, AI, or machine learning.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

LEARN MORE ABOUT BOX AI

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.

Head-over-heels about this role — but not sure you meet all the requirements? Apply anyway! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Box, we take a big-picture approach to hiring that fosters authenticity, diversity, and inclusion. If you're passionate about this opportunity, chances are, you shine pretty bright.

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.

Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

\n\n\n\n\nBox is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our healthcare benefits and additional Box Benefits + Perks.\n \nIn accordance with OFCCP compliance, here is the Pay Transparency Provision. \n\n\n\n\nUnited States Pay Range$187,000—$233,500 USD","hiringOrganization":{"@type":"Organization","name":"Box","sameAs":"https://www.box.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redwood City, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Product Manager - AI Platform, Voice & Mobile","datePosted":"2025-08-04","description":"

WHAT IS BOX?

WHY BOX NEEDS YOU

WHAT YOU'LL DO

Lead the strategy, development, and execution of our Mobile, Voice, and Cross-Platform strategy and tie together the advancements Box is making on web with the most valuable experiences on smaller screens.
Define and own a technically complex product area, balancing the needs of internal stakeholders, enterprise customers, and the rapidly evolving field of AI-driven content management.
Lead end-to-end product development, from identifying business problems to building solutions, executing product roadmaps, and driving iteration based on user feedback and data.
Launch mobile and voice powered products that deliver measurable results, validating product-market fit and scaling applications across enterprise use cases.
Collaborate with engineering, design, data science, and other internal teams to ship products that make our users’ work lives better.
Establish a metrics-driven approach to product development, conducting A/B testing and performance evaluations to improve product outcomes.
Work closely with cross-functional teams, including marketing, customer success, and sales, to ensure that products meet customer needs and business goals.
Stay up-to-date with advancements in AI and machine learning, ensuring Box remains at the forefront of enterprise AI innovation.
Lead go-to-market strategies, partnering with key teams to effectively communicate the value of Box products to enterprise customers.

WHO YOU ARE

You have a proven track record of launching successful mobile products at scale, with experience in enterprise or consumer AI applications that are used in the market today.
You have strong product management rigor, with experience in user research, defining and tracking product metrics, and delivering measurable results.
You possess a strong technical background, and you have experience working with data scientists, machine learning engineers, and cross-functional teams to bring solutions to market.
You are experienced with user experience design and have a proven track record of working with design partners, user research, and data to make informed decisions about how best to bring users an experience that meets their needs and delights them along the way.
You are comfortable driving product strategy, starting small, iterating quickly, and scaling products to deliver enterprise-grade solutions.
You have deep knowledge of enterprise SaaS products, with the ability to understand and deliver on the unique needs of enterprise customers.
You have experience collaborating with engineering teams to design and deliver collaboration solutions.
You have a minimum of 4+ years of product management experience in mobile, AI/ML, enterprise SaaS, or cloud platforms.
You hold a technical degree in Computer Science, HCI, or related fields, with practical experience in UX, AI, or machine learning.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

LEARN MORE ABOUT BOX AI

EQUAL OPPORTUNITY

\n\n\n\n\nBox is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our healthcare benefits and additional Box Benefits + Perks.\n \nIn accordance with OFCCP compliance, here is the Pay Transparency Provision. \n\n\n\n\nUnited States Pay Range$187,000—$233,500 USD","hiringOrganization":{"@type":"Organization","name":"Box","sameAs":"https://www.box.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redwood City, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"AI Platform Engineer","datePosted":"2025-08-01","description":"

About Brain Co.

Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary backend engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.

About The Role

As an AI Platform Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art backend systems to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust and scalable architectures to optimizing performance and reliability, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.

In This Role, You Will:

Innovate and Deploy: Design, develop, and deploy advanced backend solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern backend frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.
Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver backend solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, system architecture, product management, and interpersonal skills.
Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.
Learn and Lead: Stay abreast of the latest developments in backend engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.
Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.

You Might Thrive In This Role If You:

Have 5+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero
Are experienced with backend technologies, microservices, and cloud platforms.
Have demonstrated experience with modern backend frameworks, cloud compute and storage, RESTful APIs, and database management systems.
Possess a strong foundation in software design principles, data structures, and algorithms.
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
Have direct experience working with real-time streaming sensor data and time series databases and processing pipelines
Can work collaboratively with cross-functional teams.
Thrive in fast-paced environments where priorities or deadlines may compete.
Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field.

Benefits

Competitive salary plus equity
Daily lunches
Commuter benefits
401(k)
Medical, Dental and Vision
Unlimited PTO

","hiringOrganization":{"@type":"Organization","name":"Brain Co.","sameAs":"https://www.braincompany.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"AI Platform Engineer","datePosted":"2025-08-08","description":"

Job Description:

At Ferring Pharmaceuticals, we help people around the world build families and live better lives. We are entrepreneurial and innovative, with a global team focused on scientific advances in the areas of reproductive and women’s health, gastroenterology and urology. Ferring + You is all about working together and sharing ideas, so that we can bring science to life for patients around the world. Every person at Ferring works together to change lives and help people build families. Our corporate teams offer empowering, innovative, challenging and rewarding careers – we are motivated to make a difference. To reach our full potential we collaborate, and respect and value diverse contributions so that we can grow as an organization and as professionals. Together we can influence the world around us to make life and work better.

Ferring+You

As an AI Platform Engineer, you will design, deliver and support the Ferring AI Framework and collaborate with business functions in delivering AI projects.

You will collaborate closely with data engineers, data scientists, platform architects and business end-users, to operationalize AI solutions and support the entire lifecycle, from inception to delivery.

You will be instrumental in building Ferring’s AI capabilities and contributing to the definition of architectural standards by following industry best practices and keeping up with the latest technology trends.

As an AI Platform Engineer, you will be part of cross-functional projects teams to deliver AI solutions tailored to Ferring business to support our mission to deliver life-changing solutions to patients at every stage of life.

We are in the process of extending our data analytics capabilities and laying out the foundations of a novel framework to deliver AI solutions.

You will be part of a global Analytics team. Working from our Lisbon center of excellence, you will collaborate with global stakeholders and in different business domains.

Your day at Ferring

Define, deliver and maintain our technological ecosystem to support AI and data operations (e.g. MLOps, DevOps, DataOps, LLMOps).
Collaborate with data engineers and platform architects to design and implement the Platform AI Framework.
Work closely with business stakeholders, data scientists and platform architects to define AI strategy and model deployment pipelines.
Build, train, fine-tune or use machine learning and AI models. Experiment and benchmark different models and architectures to optimize performance.
Manage and guide our technological and consulting partners to deliver the most adequate AI solutions.
Interact with our Infrastructure & Security team to deploy robust, secure, scalable and cost-effective solutions.
Participate in the integration of AI-driven solutions into existing data platforms, ensuring smooth data flows and processes.
Collaborate with cross-functional teams to understand business needs and translate them into AI-driven solutions.
Troubleshoot and maintain AI solutions and machine learning workflows in production.
Continuously improve the AI and machine learning infrastructure to ensure scalability, efficiency, and accuracy.
Ensure AI solutions comply with security, quality standards, and regulatory frameworks.
Provide application support and contribute to the ongoing maintenance and improvement of AI systems.

Behind our innovation…There’s you

University degree in Computer Science, or related field.
2 to 5 years of professional experience in data analytics or AI roles.
Strong proficiency in Python and SQL.
Experience in implementing CI/CD processes for AI Projects (DevOps, MLOps, LLMOps, DataOps), preferably in Azure DevOps .
Proven track record of delivering Machine Learning, AI and/or GenAI projects.
Experience with the Databricks ecosystem is highly valued.
Experience with cloud environments and resources, preferably Azure.
Knowledge of object-oriented and functional design principles, and best-practice patterns.
Knowledge of web development frameworks (e.g., Flask, Dash, Streamlit, Shiny) and RESTful API design (e.g. FastAPI).
Knowledge of AI frameworks like TensorFlow, PyTorch, or Scikit-learn.
Familiarity with containerization (e.g. Docker, Kubernetes).
Experience with IaC Tools (E.g. Terraform) is a plus.
Excellent communication skills and very capable of building & keeping good working relation with end users.

People come first at Ferring

Get inspired from our commitment to advocate for everyone’s right to build a family, no matter who you are, where you live or who you love.

Our inclusive support package – “Building Families at Ferring” provides equal and accessible policies for all employees who wish to start their family journey, ensuring a global standard, irrespective of location and role. Subject to a minimum period of employment at Ferring.

Parental leave for both birthing and non-birthing parents.

Extended support on family building journey Making a difference in the life of millions of people means we succeed by working together. Our diverse backgrounds, experiences, expertise, and perspectives enable us to find solutions to even the most challenging problems, and our success is tied to each team member’s contributions. Imagine the power of your career when it’s Ferring + You.

Behind our purpose… There’s you

If our mission and your vision are aligned, please apply! We strive to build and maintain an inclusive and diverse workplace with equal opportunities and mutual respect for all employees regardless of their backgrounds and socioeconomic status.

Note to agencies: this search is being managed by Ferring’s Talent Acquisition team. Kindly do not send us spontaneous profiles

Location:

Ferring Service Center Portugal","hiringOrganization":{"@type":"Organization","name":"Ferring Pharmaceuticals","sameAs":"https://www.ferring.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ferring Service Center Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"AI Platform Engineer","datePosted":"2025-08-17","description":"

About Distyl AI

Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.

In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.

Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.

What You'll Do

As an AI Platform Engineer, you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.

Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.

Key Responsibilities

Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.

Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.

Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.

Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.

Who We’re Looking For

We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience).

Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems.

Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code.

Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.

Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus.

What We Offer

The opportunity to build enterprise-scale AI infrastructure used by Fortune 500 companies.

Work alongside top engineers, AI researchers, and enterprise experts in an AI-native company.

Competitive salary, benefits, and equity in a fast-growing startup.

Hybrid work environment – 3 days a week in our NYC office.

If you’re a strong software engineer with a passion for building AI infrastructure, we’d love to hear from you. Apply now and help shape the future of AI-powered enterprise systems!

","hiringOrganization":{"@type":"Organization","name":"Distyl AI","sameAs":"https://distyl.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"AI Platform Engineer","datePosted":"2025-08-13","description":"

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

SS&C is seeking an experienced Kubernetes and Cloud Operations Platform Engineer to join our team and help us build out our cloud infrastructure and operations capabilities. This is a unique opportunity to join a growing company and make a significant impact on our technology stack and operations.Job Summary:As a AI Platform Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, with a focus on Kubernetes and containerization. You will also be responsible for Platform Engineer on a daily basis and eventually building out a team to handle release management and operations, ensuring that our applications are deployed efficiently, reliably, and securely. This is a hands-on leadership role that requires a strong technical background, excellent communication skills, and experience in building and managing high-performing teams.Key Responsibilities:1. Cloud Infrastructure: Design, implement, and maintain our cloud infrastructure, including Kubernetes clusters, containerization, and cloud-native services.2. Kubernetes Expertise: Develop and maintain expertise in Kubernetes, including cluster management, deployment strategies, and troubleshooting.3. Release Management: Develop and implement release management processes and procedures to ensure efficient, reliable, and secure deployment of applications.4. Team Building: Build out a team of engineers to handle release management and operations, including recruiting, training, and mentoring team members.5. Operations: Develop and implement operational processes and procedures to ensure high availability, scalability, and security of our applications and infrastructure.6. Collaboration: Collaborate with development teams to ensure smooth deployment of applications and provide feedback on application design and architecture.7. Monitoring and Logging: Develop and implement monitoring and logging strategies to ensure visibility into application and infrastructure performance.8. Security: Ensure that our cloud infrastructure and applications are secure, compliant with industry standards, and meet regulatory requirements.9. Cost Optimization: Optimize cloud costs and ensure that our infrastructure is running efficiently and effectively.10. Documentation: Develop and maintain documentation on our cloud infrastructure, release management processes, and operational procedures.Requirements:1. Technical Expertise: 5+ years of experience in cloud computing, with a focus on Kubernetes and containerization.2. Leadership Experience: 2+ years of experience in building and managing high-performing teams.3. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure.4. Kubernetes: Experience with Kubernetes, including cluster management, deployment strategies, and troubleshooting.5. Release Management: Experience with release management tools and processes, such as GitOps, CI/CD pipelines, and automated deployment.6. Operations: Experience with operational processes and procedures, including monitoring, logging, and security.7. Communication Skills: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.8. Collaboration: Experience collaborating with development teams and other stakeholders to ensure smooth deployment of applications.9. Problem-Solving: Strong problem-solving skills, with the ability to troubleshoot complex technical issues.10. Adaptability: Ability to adapt to changing technical requirements and priorities.Nice to Have:1. Certifications: Kubernetes certifications, such as CKA or CKAD.2. Cloud Certifications: Cloud certifications, such as AWS Certified DevOps Engineer or GCP Certified Professional Cloud Developer.3. Experience with other cloud-native technologies: Experience with other cloud-native technologies, such as serverless computing, service mesh, or cloud-native databases.4. Experience with agile development methodologies: Experience with agile development methodologies, such as Scrum or Kanban.What We Offer:1. Competitive Salary: A competitive salary and benefits package.2. Opportunity to Build a Team: The opportunity to build out a team and make a significant impact on our technology stack and operations.3. Professional Development: Opportunities for professional development and growth.4. Flexible Work Arrangements: Flexible work arrangements, including remote work options.5. Collaborative Culture: A collaborative and dynamic culture that values innovation, creativity, and teamwork.If you're a motivated and experienced Kubernetes and Cloud Operations professional looking to make a significant impact on our technology stack and operations, we'd love to hear from you!

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

","hiringOrganization":{"@type":"Organization","name":"SS&C Technologies","sameAs":"https://www.ssctech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Staff Inbound Product Manager - Gen AI Platform and AI Agents","datePosted":"2025-08-20","description":"

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The PlatformX team, our newest team, is shaping the long-term future of our intelligent platform. We deliver an intelligent, secure, scalable, performant, and accessible Platform, which serves as the foundation of ServiceNow’s products and customer experiences. This is possible through world-class integrations, data management, automation, artificial intelligence, and end-user experiences across all channels.

As a Staff Inbound PM - Gen AI Platform and AI Agents you will be part of the product team focused on creating solutions that provide ServiceNow with a competitive advantage in platform and AI technologies. The Staff Inbound PM - Gen AI Platform and AI Agents role will be at the forefront of the exciting new AI Space of AI Agents. The ideal candidate will be a seasoned, highly skilled, motivates and have experience in a technical product capacity or as traditional product with a background in building products with a keen interest in AI and Innovation. This is an exciting and innovative opportunity for the right candidate. Expertise with AI Products, ServiceNow platform and the ability to translate complex requirements into functional solutions will be critical in driving successful outcomes.

What you get to do in this role:

Strategic Planning: Guide roadmap development and feature prioritization for the AI Agent Platform, aligning with business and user needs.
Innovation & Insight: Stay current with emerging trends in AI and platform technologies. Offer thoughtful, research-based recommendations to product leadership.
Solution Development: Rapidly design and prototype technical solutions using a range of AI frameworks.
Collaborative Execution: Partner across diverse, cross-functional teams—including engineering, design, and AI research—to co-develop and launch innovative PoCs (proof of concepts).
Communicate & Iterate: Clearly present PoC solutions to customers and internal stakeholders. Gather feedback with openness and iterate for continuous improvement.
Customer Collaboration: Engage directly with customers to co-create solutions. Understand their goals, challenges, and needs to ensure effective and adaptive outcomes, with a focus on agentic systems.
Measurement & Learning: Partner with stakeholders to define success metrics (KPIs), design processes for tracking them, and document outcomes to inform future efforts.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

Product Management Expertise: 8+ years of experience in product management within Agile environments. Skilled at creating roadmaps, breaking down features into Capabilities and Epics, and evaluating feasibility.
Platform Knowledge: In-depth understanding of the ServiceNow platform’s capabilities, modules, and features.
Technical Fluency: Proficiency in Agile and ServiceNow development; experience with Large Language Models and AI technologies is a plus. Familiarity with core ServiceNow modules like ITSM, ITOM, HRSD, or CSM is valued.
Team Collaboration: Proven experience working across teams, including Product Management, Design, Engineering, and Business Units.
Customer-Centered Approach: Ability to listen deeply to customers, understand their needs, and translate insights into actionable solutions.
Inclusive Communication: Strong verbal, written, and presentation skills, with a focus on making technical concepts accessible to all audiences.
Analytical & Creative Problem-Solving: Skilled at approaching problems with curiosity, data-informed thinking, and creativity.
Insight-Driven Analysis: Ability to apply data analysis to guide thoughtful, inclusive decision-making.
Adaptable & Curious Mindset: Passion for continuous learning, innovation, and working in collaborative, evolving environments.
Technical Collaboration: Comfort working alongside technical teams to navigate challenges and explore opportunities. Familiarity with AI/ML concepts and data science is a bonus.
Human-Centered Design: Experience applying design thinking to build inclusive, user-focused solutions. Comfortable conducting user research, leading co-creation sessions, and guiding products from concept through PoC.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Company Description

Job Description

What you get to do in this role:

Strategic Planning: Guide roadmap development and feature prioritization for the AI Agent Platform, aligning with business and user needs.
Innovation & Insight: Stay current with emerging trends in AI and platform technologies. Offer thoughtful, research-based recommendations to product leadership.
Solution Development: Rapidly design and prototype technical solutions using a range of AI frameworks.
Collaborative Execution: Partner across diverse, cross-functional teams—including engineering, design, and AI research—to co-develop and launch innovative PoCs (proof of concepts).
Communicate & Iterate: Clearly present PoC solutions to customers and internal stakeholders. Gather feedback with openness and iterate for continuous improvement.
Customer Collaboration: Engage directly with customers to co-create solutions. Understand their goals, challenges, and needs to ensure effective and adaptive outcomes, with a focus on agentic systems.
Measurement & Learning: Partner with stakeholders to define success metrics (KPIs), design processes for tracking them, and document outcomes to inform future efforts.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

Product Management Expertise: 8+ years of experience in product management within Agile environments. Skilled at creating roadmaps, breaking down features into Capabilities and Epics, and evaluating feasibility.
Platform Knowledge: In-depth understanding of the ServiceNow platform’s capabilities, modules, and features.
Technical Fluency: Proficiency in Agile and ServiceNow development; experience with Large Language Models and AI technologies is a plus. Familiarity with core ServiceNow modules like ITSM, ITOM, HRSD, or CSM is valued.
Team Collaboration: Proven experience working across teams, including Product Management, Design, Engineering, and Business Units.
Customer-Centered Approach: Ability to listen deeply to customers, understand their needs, and translate insights into actionable solutions.
Inclusive Communication: Strong verbal, written, and presentation skills, with a focus on making technical concepts accessible to all audiences.
Analytical & Creative Problem-Solving: Skilled at approaching problems with curiosity, data-informed thinking, and creativity.
Insight-Driven Analysis: Ability to apply data analysis to guide thoughtful, inclusive decision-making.
Adaptable & Curious Mindset: Passion for continuous learning, innovation, and working in collaborative, evolving environments.
Technical Collaboration: Comfort working alongside technical teams to navigate challenges and explore opportunities. Familiarity with AI/ML concepts and data science is a bonus.
Human-Centered Design: Experience applying design thinking to build inclusive, user-focused solutions. Comfortable conducting user research, leading co-creation sessions, and guiding products from concept through PoC.

For positions in this location, we offer a base pay of $147,300 - $257,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

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Company Description

Job Description

What you get to do in this role:

Strategic Planning: Guide roadmap development and feature prioritization for the AI Agent Platform, aligning with business and user needs.
Innovation & Insight: Stay current with emerging trends in AI and platform technologies. Offer thoughtful, research-based recommendations to product leadership.
Solution Development: Rapidly design and prototype technical solutions using a range of AI frameworks.
Collaborative Execution: Partner across diverse, cross-functional teams—including engineering, design, and AI research—to co-develop and launch innovative PoCs (proof of concepts).
Communicate & Iterate: Clearly present PoC solutions to customers and internal stakeholders. Gather feedback with openness and iterate for continuous improvement.
Customer Collaboration: Engage directly with customers to co-create solutions. Understand their goals, challenges, and needs to ensure effective and adaptive outcomes, with a focus on agentic systems.
Measurement & Learning: Partner with stakeholders to define success metrics (KPIs), design processes for tracking them, and document outcomes to inform future efforts.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

Product Management Expertise: 8+ years of experience in product management within Agile environments. Skilled at creating roadmaps, breaking down features into Capabilities and Epics, and evaluating feasibility.
Platform Knowledge: In-depth understanding of the ServiceNow platform’s capabilities, modules, and features.
Technical Fluency: Proficiency in Agile and ServiceNow development; experience with Large Language Models and AI technologies is a plus. Familiarity with core ServiceNow modules like ITSM, ITOM, HRSD, or CSM is valued.
Team Collaboration: Proven experience working across teams, including Product Management, Design, Engineering, and Business Units.
Customer-Centered Approach: Ability to listen deeply to customers, understand their needs, and translate insights into actionable solutions.
Inclusive Communication: Strong verbal, written, and presentation skills, with a focus on making technical concepts accessible to all audiences.
Analytical & Creative Problem-Solving: Skilled at approaching problems with curiosity, data-informed thinking, and creativity.
Insight-Driven Analysis: Ability to apply data analysis to guide thoughtful, inclusive decision-making.
Adaptable & Curious Mindset: Passion for continuous learning, innovation, and working in collaborative, evolving environments.
Technical Collaboration: Comfort working alongside technical teams to navigate challenges and explore opportunities. Familiarity with AI/ML concepts and data science is a bonus.
Human-Centered Design: Experience applying design thinking to build inclusive, user-focused solutions. Comfortable conducting user research, leading co-creation sessions, and guiding products from concept through PoC.

Additional Information

Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

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Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

The AI Platform Team is a dynamic and ambitious group focused on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. Our mission is to accelerate AI adoption, enhance team efficiency, and deliver exceptional customer experiences by embedding growth pods directly within teams across the organization. As a Software Engineer on our team, you’ll be driving this transformative shift within the company. You’ll work with state-of-the-art AI models, frameworks, and tools, playing a pivotal role in shaping how people and businesses engage with and benefit from AI in the future.

What you’ll be doing (ie. job duties):

Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
Lead project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
Write high-quality, well-tested code in Python and Golang to address critical product and business needs.
Architect scalable, secure systems using modern cloud technologies and industry best practices.
Mentor team members on design principles, coding standards, and AI productivity tools adoption.
Debug complex technical issues to enhance system reliability, scalability, and ease of operation.
Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
Build pipelines to integrate with third-party vendors and streamline workflows.

What we look for in you (ie. job requirements):

3+ years of experience in software engineering.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of micro-services architecture.
Ability to write high-quality, well-tested code that meets customer needs.
Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them.
Strong technical skills in system design and coding.
Passion for building an open financial system that unites the world.
Excellent written and verbal communication skills, with a preference for open and transparent cultural practices.

Nice to haves:

Experience navigating rapid company growth (e.g., from startup to mid-size).
Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
Background in AI/LLM infrastructure is a strong plus.

Job Id : GPBE04IN

*Answers to crypto-related questions may be used to evaluate your onchain experience.

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Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

Commitment to Equal Opportunity

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

AI Disclosure

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations@coinbase.com.

","hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior AI Platform Engineer","datePosted":"2025-07-03","description":"

Job Purpose and Impact

The Senior AI Platform Engineer for AI Ops in AI & Data Science designs, builds and operates the shared MLOps / LLMOps platform that powers Cargill’s data-science and GenAI products. You will own CI/CD pipelines for data ingestion, model training, evaluation and deployment; automate GPU/CPU orchestration across clouds; and embed Responsible-AI, observability and cost-optimization into every stage of the lifecycle. Success is measured by model-to-production velocity, platform uptime, and total-cost-of-ownership improvements

Key Accountabilities

Pipeline & Automation

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- Implement and maintain reproducible pipelines for data ingestion, feature engineering, model training and deployment using OSS and Commercial toolchains;
\n

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- Create Terraform modules and GitHub Actions to enable one-click environment provisioning.
\n

GenAI / LLMOps / AgentOps Enablement

\n
- Extend platform to support retrieval-augmented generation (RAG) workflows, AI agent workflows, vector databases (pinecone etc), prompt evaluation harnesses, and guardrail policies
\n

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- Develop automation scripts for GenAIOps.
\n

Observability & SRE:

\n
- Instrument Service Level Indicator/Objective (SLIs/SLOs), build dashboards, and lead on-call runbooks;
\n

\n
- Monitor system performance and troubleshoot production issues to achieve low latency and availability.
\n

Security & Compliance

\n
- Embed IAM, secrets-management, lineage tracking and Responsible-AI checks into pipelines
\n

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- Produce SOC-2 / ISO-27001-ready documentation.
\n

Coaching & Continuous Improvement

\n
- Review pull-requests, run blameless post-incident reviews, and mentor data-science teams on scalable MLOps patterns.
\n

Qualifications

\n\n

\n
Minimum: 4 years hands-on building ML or data platforms.
\n

\n\n\n

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Typical: 5–8 years total, including 2 + years operating production MLOps/LLMOps or GPU-accelerated workloads in AWS.
\n

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About the team & opportunity

We are seeking a Backend Engineer to help design and build our next-generation AI Platform. As a key member of our Engineering team, you will drive the development of highly scalable, reliable, and performant backend systems that power AI services for end users and product teams. You will collaborate closely with ML engineers, product managers, and other cross functional partners to architect tools and services that accelerate our AI capabilities.

A day in the life of a Backend Engineer at Calendly

On a typical day, you will:

Architect, implement, and maintain backend services and APIs for AI-driven products and features.
Build scalable infrastructure to support large-scale training, deployment, and monitoring of machine learning models.
Integrate third-party AI/ML solutions where appropriate and optimize system performance.
Implement security, compliance, and data privacy best practices for AI workflows.
Collaborate cross-functionally with ML engineers and data scientists to enable seamless model deployment and management.
Develop testing frameworks and monitoring tools to ensure system reliability and observability.
Participate in technical design reviews and provide input on best practices and emerging technologies.
Debug production issues across services and multiple levels of the stack

What do we need from you?

Professional experience (typically 5+ years) as a backend engineer or in a similar software engineering role, ideally supporting data or ML systems.
Hands-on experience building distributed systems, GraphQL and RESTful APIs, and/or microservices architectures.
Strong proficiency in at least one backend programming language (such as Python, Go, Java, or Scala).
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Familiarity with storage solutions relevant for AI (e.g., PostgreSQL, MongoDB, Redis, object storage, data lakes).
Knowledge of security, privacy, and compliance principles in distributed/cloud environments.
Comfortable with CI/CD pipelines, version control systems (Git), and infrastructure-as-code.

What’s in it for you?

This role provides a unique opportunity to shape foundational services that power the next generation of AI-enabled solutions. If you thrive in a fast-paced team and are excited by solving complex technical problems in the AI space, we want to hear from you!

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com .

Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.

All candidates can find our Candidate Privacy Statement here

Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection

The ranges listed below are the expected annual base salary for this role, subject to change.

Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.

Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits.

Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:

Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
Tier 3: All other locations not in Tier 1 or Tier 2

Tier 1 Salary$148,800—$223,200 USDTier 2 Salary$136,400—$204,600 USDTier 3 Salary$124,000—$186,000 USD","hiringOrganization":{"@type":"Organization","name":"Calendly","sameAs":"https://calendly.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Principal AI Platform Architect","datePosted":"2025-08-05","description":"

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.

Title: Principal AI Platform Architect

Location: This position is 100% remote.

Module: Kaseya One Platform

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com, a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. We have achieved record levels of success being BOLD, being GRITTY, being ACCOUNTABLE. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth.

WHAT YOU’LL DO:

Define the architectural vision for a resilient, intelligent, and hyper-scalable AI platform. You’ll make foundational technology decisions that future-proof innovation and secure long-term competitive advantage. As a Platform Architect, you’ll lead the design of cloud-native, event-driven systems and secure APIs that power agentic AI operations, while ensuring the platform is adaptable, compliant, and high-performing.

WHAT WE ARE LOOKING FOR:

We’re looking for a strategic technical leader with deep expertise in distributed systems and AI infrastructure. You should be a strong communicator who can translate complex architectural concepts into actionable guidance for engineers and stakeholders. A collaborative mindset, a passion for mentoring, and the ability to align architectural strategy with business goals are essential. You’re comfortable presenting to executive leadership and influencing cross-functional teams to drive architectural excellence.

THE SCHEDULE: 
This position is 100% remote.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Architect the foundational infrastructure for a next-generation AI platform, ensuring scalability, resilience, and intelligence

Make critical technology decisions across cloud, data, and AI infrastructure to support long-term innovation

Design microservices ecosystems, event-driven systems, and secure APIs for seamless agentic AI operations

Lead architectural reviews, enforce best practices, and ensure alignment with business and technical goals

Collaborate with engineering, product, and security teams to ensure platform adaptability, compliance, and performance

Drive adoption of infrastructure-as-code, observability, and zero-trust security principles across the platform

Present architectural strategies to executive leadership and align them with business objectives

Mentor engineers and foster a culture of architectural excellence

WHAT YOU’LL BRING:

Strong technical leadership with the ability to influence architectural direction across cross-functional teams

Excellent communication skills with the ability to translate complex architecture into actionable plans

Collaborative mindset and experience mentoring engineers

Expert in cloud-native architectures (AWS, Azure, or GCP), microservices, event-driven patterns, and API design (REST, gRPC, GraphQL)

Advanced knowledge of data governance and modeling for AI (e.g., feature stores, knowledge graphs, data lakes/lakehouses)

Deep experience in AI/ML infrastructure design (compute, storage, networking)

Proficiency in infrastructure-as-code (Terraform, Pulumi) and designing for observability

Strong understanding of LLM deployment patterns, vector stores, and feature stores

Experience implementing zero-trust networks, RBAC, encryption, and key management

Proven ability to design for 99.99% uptime in distributed systems

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

7-10+ years designing complex, distributed systems for high availability and scalability

Preferred: Certifications in Cloud Architecture (AWS, Azure, or GCP)

Additional certifications in Security Architecture, DevSecOps, or Data Engineering are a plus

Nice to Have:

Experience with federated learning, confidential computing, and privacy-enhancing technologies

Expertise in multi-region deployments and disaster recovery for AI platforms

Familiarity with compliance standards (e.g., SOC 2, ISO 27001, HIPAA)

Experience building real-time data pipelines for AI

Knowledge of quantum-resistant cryptography and graph-based data modeling

Join the Kaseya growth rocket ship and see how we are #ChangingLives !

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Join the Kaseya growth rocket ship and see how we are #ChangingLives !

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GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be leading a healthcare revolution.

By disrupting our approaches to R&D and commercial business processes, AI and agents are allowing us to integrate, simplify and unlock all our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers.

The Enterprise AI Platform team is seeking an experienced Director, Enterprise AI Platform to help lead the development and execution of our enterprise-wide AI platform strategy as part of the Enterprise Data & AI platform leadership team. This role will be instrumental in shaping the future of AI capabilities across the organization, enabling scalable solutions that empower teams to harness the full potential of AI and machine learning (ML).

Key responsibilities:

As a strategic leader, you will be a driving force behind our enterprise-wide AI platform, empowering teams to unlock the full potential of AI and machine learning (ML). Your ability to influence and inspire will be critical in aligning diverse stakeholders and driving AI adoption across GSK. You will be the visionary for what AI and AI platforms mean to GSK, helping to shape the future of healthcare.

Strategic AI Vision, Influence, and Partnership:

Establish and articulate a compelling next-gen vision for the Enterprise AI Platform, aligning with GSK’s strategic goals and industry trends.
Act as a recognized thought leader in AI/ML, proactively identifying and advocating for innovative AI solutions.
Cultivate strong relationships with cross-functional teams (engineering, product, data science, business units) to drive collaborative AI initiatives.
Influence senior leadership and stakeholders to prioritize AI investments and initiatives, fostering a data-driven culture.
Establish strategic partnerships with external vendors and research institutions.

Platform Innovation and Scalable Architecture:

Lead the design and development of a scalable, robust AI platform that supports diverse enterprise use cases, anticipating future needs.
Lead the enablement of platform capabilities for rapid ingestion, preprocessing, and creation of AI-ready datasets, optimizing for advanced RAG, fine-tuning, and multi-agent systems.
Champion the adoption of cutting-edge AI technologies, including multi-agent systems, advanced RAG, and generative AI, to drive business value.
Drive continuous improvement in platform performance, reliability, and user experience, leveraging agile methodologies and best practices.
Lead the development and deployment of multi-agent systems that can automate complex business processes.

Governance, Responsible AI (RAI), and Talent Development:

Champion Responsible AI (RAI) practices, ensuring ethical model development, bias mitigation, and compliance with regulatory standards (e.g., NIST, GxP).
Act as a GSK leader in prompt engineering, AI/ML best practices, and multi-agent orchestration, fostering a culture of excellence.
Ensure high levels of model evaluation accuracy and implement robust evaluation frameworks.
Lead the development of training programs to increase AI literacy across the organization.

Technical Strategy and Business Impact:

Balance hands-on technical oversight with strategic leadership, ensuring alignment with business objectives.
Drive the platform to deliver measurable business impact, while proactively managing technical debt.
Develop and track key performance indicators (KPIs) to measure the success of AI initiatives.

Technical skills and experience required:

Bachelor's or master’s degree in computer science, Engineering, or a related field.
Proven experience (18+ years) in leading and managing technical teams, with a track record of fostering collaboration and driving innovation.
Expertise in designing and building scalable AI platforms capable of supporting enterprise-wide AI initiatives.
Strong ability to communicate complex technical concepts to both technical and non-technical audiences.
Strong proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services, with experience in deploying and managing AI solutions in cloud environments.
Ability to teach and accelerate the organization's solution delivery of AI technologies.
Proven experience in developing and deploying production-quality AI/ML models and solutions, including both classic ML and generative AI.
Strong understanding of platform engineering principles and practices for deploying and managing AI services at scale.
Experience in developing and deploying multi-agent systems capable of automating complex business processes.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

Skills

Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Model Evaluation, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.

GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.

If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

","hiringOrganization":{"@type":"Organization","name":"GSK","sameAs":"https://www.gsk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru Luxor North Tower, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Backend AI Platform Engineer","datePosted":"2025-08-19","description":"

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.

Fresh vision. Real impact. Come build it with us.

Job Description

We are seeking a Backend AI Platform Engineer to design and build core backend services that power our Agentic AI Platform, enabling reasoning-driven agents, multi-agent orchestration, dialog management, and outcome-based workflows.

You will work closely with the Principal AI Agentic Architect to implement high-performance APIs, orchestration runtimes, agent lifecycle management, and integration with frameworks like LangChain, LangGraph, and LangSmith. This role is hands-on and ideal for someone passionate about building robust, scalable backend systems in a fast-paced, startup-like environment.

Key Responsibilities:

Platform Backend Development

Experience building agent runtime systems, orchestration layers, or reasoning engines.
Implement agent runtime orchestration services for reasoning, planning, and tool invocation (integrating LangChain/LangGraph).
Develop APIs and SDKs for building, deploying, and managing agent workflows and tools.
Build stateful dialog management and memory services to support multi-turn, context-aware agents.
Implement multi-agent communication (A2A) protocols and shared context for collaborative agent behavior.

System Architecture & Scalability

Work with the Architect to build cloud-native, event-driven backend services using microservices or service mesh architecture.
Design task scheduling and workflow orchestration (e.g., Temporal/Airflow) for agent planning and long-running operations.
Develop real-time message buses (Kafka/Pub-Sub) for agent communication and event propagation.
Optimize LLM orchestration performance and cost efficiency with caching, batching, and token usage monitoring.

Integrations & Data Services

Implement integrations with enterprise systems, APIs, and knowledge sources (REST, GraphQL, gRPC).
Work with vector DBs (e.g., ElasticSearch, Pinecone, Weaviate, FAISS) and RAG pipelines for knowledge-augmented reasoning agents.
Support metadata and telemetry pipelines for LangSmith-based evaluation and observability.

Security, Compliance & Governance

Build secure multi-tenant backend services with RBAC, API authentication, and tenant isolation.
Ensure agent action auditability and reproducibility for compliance and governance.
Collaborate on implementing platform guardrails (rate limiting, content filtering, safe tool usage).

Testing, Observability & Reliability

Write automated test suites (unit, integration, load testing) for backend services.
Implement logging, tracing, and metrics (OpenTelemetry, Prometheus, Grafana) for full observability.
Participate in on-call rotations and improve platform resiliency and fault tolerance.

\nPlease note: This is a hybrid role that will be based in San Mateo, CA or Bellevue, WA and requires an in-office presence three days per week (Tuesday - Thursday).

Qualifications

Required Qualifications:

7+ years of backend engineering experience, with at least 2+ years in AI/ML platform development.
Strong programming skills in Java and Python
Hands-on experience with LangChain, LangGraph, LangSmith LLM/agent frameworks
Expertise in distributed systems, event-driven architectures, and microservices
Solid experience with cloud platforms (AWS), Kubernetes, and IaC (Terraform/Helm)
Familiarity with databases (PostgreSQL, Redis, MongoDB) and vector databases (ElasticSearch, Pinecone, FAISS, Weaviate)
Understanding of workflow orchestration (Temporal/Airflow) and messaging systems (Kafka, RabbitMQ)
Knowledge of AI/LLM (OpenAI, Anthropic, Azure OpenAI, etc.) and prompt/tool orchestration

Preferred Qualifications:

Exposure to conversation orchestration, dialog state tracking, and AI-driven planning systems
Familiarity with enterprise security standards (RBAC, SSO/OAuth2, data encryption)
Prior experience in startup or high-growth environments building SaaS platforms
Contributions to open-source AI agentic frameworks or backend libraries

Additional Information

The annual base salary range for this position is $238,000 - $342,000.
\n
\nCompensation is based on a variety of factors including but not limited to location, experience, job-related skills, and level. Bonus/equity may be available.
\n
\nFreshworks offers multiple options for dental, medical, vision, disability and life insurances. Equity + ESPP, flexible PTO, flexible spending, commuter benefits and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits.

At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

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Company Description

There’s another option. Freshworks. With a fresh vision for how the world works.

Fresh vision. Real impact. Come build it with us.

Job Description

Key Responsibilities:

Platform Backend Development

Experience building agent runtime systems, orchestration layers, or reasoning engines.
Implement agent runtime orchestration services for reasoning, planning, and tool invocation (integrating LangChain/LangGraph).
Develop APIs and SDKs for building, deploying, and managing agent workflows and tools.
Build stateful dialog management and memory services to support multi-turn, context-aware agents.
Implement multi-agent communication (A2A) protocols and shared context for collaborative agent behavior.

System Architecture & Scalability

Work with the Architect to build cloud-native, event-driven backend services using microservices or service mesh architecture.
Design task scheduling and workflow orchestration (e.g., Temporal/Airflow) for agent planning and long-running operations.
Develop real-time message buses (Kafka/Pub-Sub) for agent communication and event propagation.
Optimize LLM orchestration performance and cost efficiency with caching, batching, and token usage monitoring.

Integrations & Data Services

Implement integrations with enterprise systems, APIs, and knowledge sources (REST, GraphQL, gRPC).
Work with vector DBs (e.g., ElasticSearch, Pinecone, Weaviate, FAISS) and RAG pipelines for knowledge-augmented reasoning agents.
Support metadata and telemetry pipelines for LangSmith-based evaluation and observability.

Security, Compliance & Governance

Build secure multi-tenant backend services with RBAC, API authentication, and tenant isolation.
Ensure agent action auditability and reproducibility for compliance and governance.
Collaborate on implementing platform guardrails (rate limiting, content filtering, safe tool usage).

Testing, Observability & Reliability

Write automated test suites (unit, integration, load testing) for backend services.
Implement logging, tracing, and metrics (OpenTelemetry, Prometheus, Grafana) for full observability.
Participate in on-call rotations and improve platform resiliency and fault tolerance.

\nPlease note: This is a hybrid role that will be based in San Mateo, CA or Bellevue, WA and requires an in-office presence three days per week (Tuesday - Thursday).

Qualifications

Required Qualifications:

7+ years of backend engineering experience, with at least 2+ years in AI/ML platform development.
Strong programming skills in Java and Python
Hands-on experience with LangChain, LangGraph, LangSmith LLM/agent frameworks
Expertise in distributed systems, event-driven architectures, and microservices
Solid experience with cloud platforms (AWS), Kubernetes, and IaC (Terraform/Helm)
Familiarity with databases (PostgreSQL, Redis, MongoDB) and vector databases (ElasticSearch, Pinecone, FAISS, Weaviate)
Understanding of workflow orchestration (Temporal/Airflow) and messaging systems (Kafka, RabbitMQ)
Knowledge of AI/LLM (OpenAI, Anthropic, Azure OpenAI, etc.) and prompt/tool orchestration

Preferred Qualifications:

Exposure to conversation orchestration, dialog state tracking, and AI-driven planning systems
Familiarity with enterprise security standards (RBAC, SSO/OAuth2, data encryption)
Prior experience in startup or high-growth environments building SaaS platforms
Contributions to open-source AI agentic frameworks or backend libraries

Additional Information

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Ready to be pushed beyond what you think you’re capable of?

The AI Platform Team is a dynamic and ambitious group focused on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. Our mission is to accelerate AI adoption, enhance team efficiency, and deliver exceptional customer experiences by embedding growth pods directly within teams across the organization. As a Machine Learning Engineer on our team, you will play a pivotal role in this transformation, leveraging cutting-edge AI models, frameworks, and tools, as well as diverse and extensive data sources—including blockchain data. Your work will focus on lowering the barriers to cryptocurrency adoption while shaping the future of AI-powered interactions. This includes enhancing recommendations, chatbots, and other intelligent features to make our products more intuitive, accessible, and user-friendly.

What you’ll be doing (ie. job duties):

Apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.
Excel at project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
Develop high-quality, well-tested Python code to address critical product and business needs.
Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

What we look for in you (ie. job requirements):

3+ years of experience in machine learning and software engineering.
Proven expertise in building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
Ability to write high-quality, well-tested code that effectively addresses customer needs.
Passion for building an open financial system that connects the world.
Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.

Nice to haves:

Bachelor’s or Master’s in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
Familiarity with model interpretability and responsible AI practices.
Expertise in data analysis and visualization.

Job ID: GPML04US

*Answers to crypto-related questions may be used to evaluate your onchain experience.

#LI-Remote

\nPay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: $152,405—$179,300 USD

Commitment to Equal Opportunity

Global Data Privacy Notice for Job Candidates and Applicants

AI Disclosure

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

","hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Software Engineer - AI Platform","datePosted":"2025-07-22","description":"

Ready to be pushed beyond what you think you’re capable of?

What you’ll be doing (ie. job duties):

Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
Lead project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
Write high-quality, well-tested code in Python and Golang to address critical product and business needs.
Architect scalable, secure systems using modern cloud technologies and industry best practices.
Mentor team members on design principles, coding standards, and AI productivity tools adoption.
Debug complex technical issues to enhance system reliability, scalability, and ease of operation.
Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
Build pipelines to integrate with third-party vendors and streamline workflows.

What we look for in you (ie. job requirements):

5+ years of experience in software engineering.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of micro-services architecture.
Ability to write high-quality, well-tested code that meets customer needs.
Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them.
Strong technical skills in system design and coding.
Passion for building an open financial system that unites the world.
Excellent written and verbal communication skills, with a preference for open and transparent cultural practices.

Nice to haves:

Experience navigating rapid company growth (e.g., from startup to mid-size).
Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
Background in AI/LLM infrastructure is a strong plus.

Job #: GPBE05US

*Answers to crypto-related questions may be used to evaluate your onchain experience

#LI-Remote

Commitment to Equal Opportunity

Global Data Privacy Notice for Job Candidates and Applicants

AI Disclosure

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

","hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Lead AI Platform Engineer - LMTS","datePosted":"2025-07-15","description":"

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

athenahealth is a progressive, innovation-driven software product company. We partner with healthcare organizations across the care continuum to drive clinical and financial results. Our expert teams build modern technology on an open, connected ecosystem, yielding insights that make a difference for our customers and their patients. We maintain a unique values-driven employee culture and offer a flexible work-life balance. As evidence of our rapid growth and industry leadership, we were acquired by the world’s leading private equity firm “Bain Capital” in 2021 for $17bn! and we have many new strategic product initiatives.

We are headquartered in Boston, and our other offices are located in Atlanta, Austin, Belfast, and Burlington. In India, we have offices in Bangalore, Pune, and Chennai.

Position Summary: Our Internal Developer Platform is the backbone of innovation—empowering R&D teams to build, deliver, and scale healthcare solutions with speed and confidence. We are seeking a ”Lead AI Solution Engineer – LMTS” to join our AI Dev Tools & Solutions team in Chennai. This role focuses on transforming the developer experience through intelligent automation, seamless tooling, and AI-driven workflows.

As a technical leader, you will play a pivotal role in designing and scaling the Model Context Protocol (MCP) and orchestrating multi-agent workflows, context sharing, and intelligent automation across our internal platform. You’ll collaborate with cross-functional teams to accelerate software delivery and enhance the developer experience across the organization.

Qualifications & Experience

Proven experience building and deploying agentic AI solutions for workflow automation
Strong programming skills any modern languages: Python, Java, TypeScript / JavaScript
Expertise in: Prompt engineering, LLMs (Large Language Models), AI-assisted development standards
Experience with MCP servers and clients setup and management
Experience integrating AI tools into the SDLC and evaluating their impact on productivity and quality.
Understanding of DevOps Practices, DORA metrics and Developer productivity tooling
Familiarity with Windsurf or similar agentic AI code editors is a strong plus.
Excellent problem-solving skills and a proactive, ownership-driven mindset.
Strong collaboration and communication skills to work effectively across engineering, product, and platform teams.

Key Responsibilities

AI Infrastructure & Automation

Architect and implement agentic AI solutions to automate development workflows, focusing on model validation, explainability, security, and ethical AI.
Lead the setup, configuration, and scaling of MCP servers and clients to support robust AI infrastructure.

AI-Driven SDLC Transformation

Design and integrate AI-powered enhancements into the Software Development Lifecycle (SDLC) to improve code quality, security, and developer productivity.
Define and promote best practices for prompt engineering in developer tools and code editors.
Evaluate and integrate emerging AI tools and platforms, ensuring alignment with responsible AI principles and industry standards.
Own and optimize developer tools such as: Bitbucket, SonarQube and DevOps platforms (e.g., Jenkins, GitHub Actions, Azure DevOps, etc.)

Engineering Excellence & Best Practices

Set and uphold high standards for code quality, performance, and maintainability.
Lead and participate in code reviews.
Make architectural decisions with a focus on scalability, performance, security, and developer experience.
Maintain technical documentation for onboarding and troubleshooting.
Integrate security best practices, including threat modeling and compliance reviews.

Innovation & Continuous Improvement

Champion continuous improvement in developer workflows via agentic AI, automation, and developer enablement.
Lead the adoption of emerging trends like multi-agent systems, AI copilots, and developer-centric AI infrastructure.

About athenahealth

Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Our company culture: Our talented  employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

What we can do for you:

Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative  workspaces  — some offices even welcome dogs.

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

Learn more about our culture and benefits here: athenahealth.com/careers

https://www.athenahealth.com/careers/equal-opportunity

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

Our AI Platform team is looking for backend-focused Software Engineers who will join us in our mission to make LLMs more accessible and mainstream to the rest of our engineering teams. The team has already built and released some of the best legal industry large language models that extract and summarize data from documents our clients provide. This person will join a multi-disciplinary team of Data Scientists, Researchers and Software Engineers whose day-to-day work lies at the intersection of programming, LLM integration, and iterative experimentation. This is a great opportunity for someone looking to take on complex engineering challenges in the field of generative AI and leverage the power of technology to bring fairness and accessibility to the legal system.

This is a hybrid role with 3 days per week spent collaborating with the team in the office. We are open to applicants located in either the San Francisco Bay Area or the Greater Toronto Area.

What you will do:

Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch) while introducing and evaluating new tools and technologies as appropriate.
Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications including those based on large language models.
Set technical direction for complex projects with significant ambiguity, owning outcomes end-to-end from inception to deployment and iterative improvement.
Act as a force multiplier—mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization.
Partner cross-functionally with Product, ML, and Infrastructure teams to translate abstract or high-level product needs into robust engineering solutions.
Influence platform and infrastructure roadmaps with a long-term view of scalability, maintainability, and developer velocity.

What we're looking for:

10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role.
Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance.
Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear tradeoff thinking.
High standards for code quality, system design, and software architecture—along with a track record of mentoring others to meet those standards.
Strong proficiency in Python and/or experience in additional languages such as NodeJS, GoLang, Java or C++.
Clear, structured communication and the ability to influence stakeholders across engineering and product functions.
Experience working in fast-paced, high-growth environments—ideally in startups or early-stage companies.

Bonus experience:

Experience in AI/ML systems, legal tech, or mission-driven, social impact-oriented engineering work.
Prior work with LLM-powered systems, AI platforms, or developer enablement tooling in ML-heavy environments.

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:

Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees
Paid parental leave
Sabbatical program
A meet-up program to get together in person with colleagues in your area
Offices in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

About EvenUp:

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Senior Databricks AI Platform Engineer

Glasgow

JR015716

We are looking for a Senior Databricks AI Platform Engineer to join our Platform Engineering team. This role will be critical in designing, building, and optimizing a scalable, secure, and developer-friendly Databricks platform to enable Machine Learning (ML) and Artificial Intelligence (AI) workloads at enterprise scale

You will partner with ML engineer, data scientists, platform teams, and cloud architects to automate infrastructure, enforce best practices, and streamline the end-to-end ML lifecycle using modern cloud-native technologies.

Responsibilities:

Design and implement secure, scalable, and automated Databricks environments to support AI/ML workloads.
Develop infrastructure-as-code (IaC) solutions using Terraform for provisioning Databricks, cloud resources, and network configurations.
Build automation and self-service capabilities using Python, Java and APIs for platform onboarding, workspace provisioning, orchestration and monitoring.
Collaborate with data science and ML teams to define compute requirements, governance policies, and efficient workflows across dev/qa/prod environments.
Integrate Databricks offering with cloud-native services on Azure/AWS
Champion CI/CD and GitOps for managing ML infrastructure and configurations.
Ensure compliance with enterprise security and data governance policies using RBAC, Audit Controls, Encryption, Network Isolation, and policies.
Monitor platform performance, reliability, and usage, and drive improvements to optimize cost and resource utilizations

Required Skills:

Proven experience with Terraform for building and managing infrastructure.
Strong programming skills in Python and Java
Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure
Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta Lake, Unity Catalog, Mosaic AI)
Deep understanding of Azure or AWS infrastructure (e.g. IAM, VNets/VPC, Storage, Networks, Compute, Key management, monitoring)
Strong experience in distributed system design, development and deployment using agile/devops practices.
Experience with CI/CD pipelines (GitHub Actions, or similar)
Experience implementing monitoring and observability using Prometheus, Grafana or Databricks-native solutions.
Good communication skills, excellent teamwork experience, ability to mentor and develop more junior developers, including participating in constructive code reviews
4+ Years. Bachelor’s or master’s degree in computer science, Engineering or a related field.

Preferred Skills:

Experience in multi-cloud environments (AWS/GCP) is a bonus
Experience in working in highly regulated environments (finance, healthcare, etc.) is desirable
Experience with Databricks REST APIs and SDKs
Knowledge of MLFlow, Mosaic AC, & MLOps tooling
Working with teams using Scrum, Kanban or other agile practices
Proficiency with standard Linux command line and debugging tools
Azure or AWS Certifications

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

","hiringOrganization":{"@type":"Organization","name":"Morgan Stanley","sameAs":"https://www.morganstanley.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waterloo Street, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"AI Platform Architect - Teams Platform","datePosted":"2025-08-01","description":"AI Platform Architect - Teams Platform About the Team:Microsoft Teams is the collaboration layer for Microsoft 365, empowering over 300 million monthly active users. As the workplace evolves, we are building the platform for the next frontier: seamless collaboration between humans and intelligent agents. Our vision anticipates a world with over 1.3 billion AI agents joining the workforce in the next three years.

About the Role:
This AI Platform Architect role sits at the heart of that transformation, within the team responsible for enabling multi-agent collaboration inside Teams. You'll architect the foundational capabilities that make agent collaboration possible: long-context reasoning, memory, tool use, agent supervision, and coordination. This is a rare opportunity to define the technical substrate for how agents and people work together, and to shape the future of productivity at global scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Architect and evolve foundational capabilities for advanced AI agents, including long-context reasoning, memory systems, dynamic tool use, evaluation, alignment, and fine-tuning.
Design and drive the development of a scalable platform for multi-agent collaboration, including orchestration, supervision, and inter-agent communication patterns.
Guide and inspire a high-agency engineering team to rapidly prototype full-stack solutions in 0-to-1 environments.
Identify breakthrough AI capabilities and translate them into technically grounded, compelling prototypes that shape product and platform direction.
Partner across research, product, and engineering teams to transition innovation into robust, user-facing systems.
Act as a strategic voice in defining future product possibilities, advocating for bold scenarios that push the platform's technical boundaries.
Influence architecture and roadmap across multiple teams and orgs through clear vision, deep technical judgment, and trusted leadership.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
8+ years' experience defining and driving long-term technical direction across multiple teams or divisions.
5+ years' experience with architecture spanning frontend, backend, and distributed services, including cloud-native architecture, scalable infrastructure, and service design.
5+ years' experience designing and evolving developer platforms, SDKs, and APIs through multiple product generations.
3+ years of experience working with large language models (LLMs), including Retrieval-Augmented Generation (RAG), LLM-based reasoning, tool use, agentic workflows, and multi-agent architectures.

Preferred Qualifications:

Bachelor's Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
- OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Experience building with LLMs, agent frameworks, or multi-agent orchestration platforms.
Demonstrated ability to prototype and communicate advanced AI capabilities through compelling demos.
Demonstrated experience leading knowledge-sharing efforts—driving team-wide understanding of cutting-edge AI advancements through regular learning sessions.
Experience creating inclusive environments and influencing technical culture at org or division scale.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 7th, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#agents

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Title: Staff AI Platform Engineer II

Location: This position is 100% remote.

Module: Kaseya One Platform

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com, a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

WHAT YOU’LL DO:

Join the dynamic team at Kaseya as a Staff Software Engineer in AI Platform Engineering. Build the intelligent core of our AI platform by engineering autonomous agents that perceive, reason, and learn in complex environments. You’ll pioneer agentic design using LLMs, knowledge graphs, and reasoning engines to create adaptive, context-aware systems that operate in real-world conditions.

WHAT WE ARE LOOKING FOR:

We’re looking for a collaborative and innovative Staff Software Engineer with a strong foundation in agentic architectures and applied machine learning. You should be comfortable working across disciplines, communicating complex AI concepts to both technical and non-technical audiences, and contributing to a culture of experimentation and excellence. Leadership in AI innovation - whether through mentorship, publications, or open-source contributions - is highly valued.

THE SCHEDULE: 
This position is 100% remote.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Design and implement autonomous AI agents capable of perception, reasoning, and learning in complex, real-world environments

Develop and optimize agentic architectures using LLMs, vector databases, and symbolic reasoning engines

Apply advanced RAG techniques, prompt engineering, and fine-tuning to enhance agent performance

Integrate knowledge graphs and multi-modal capabilities to enable contextual and adaptive agent behavior

Build robust evaluation frameworks, A/B testing pipelines, and model versioning systems

Collaborate with platform, data, and product teams to ensure seamless deployment and continuous improvement of intelligent agents

WHAT YOU’LL BRING:

5-7+ years of experience in applied AI/ML, with a strong focus on building intelligent systems and autonomous agents

Deep expertise in Python and/or TypeScript

Hands-on experience with multiple LLMs (e.g., GPT, Llama, Claude, Gemini), including fine-tuning, advanced RAG techniques, and prompt engineering

Proficiency with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI

Experience developing agent planning and reasoning algorithms (e.g., Tree of Thoughts, ReAct, Monte Carlo Tree Search)

Strong background in model evaluation, A/B testing, and versioning for AI models

Familiarity with vector databases (e.g., Pinecone, Milvus, Chroma)

Experience with knowledge graphs (e.g., Neo4j, RDF) and symbolic AI approaches

Understanding of multi-modal LLM capabilities and responsible AI practices

Experience with explainable AI (XAI) and responsible AI toolkits

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Preferred: PhD in AI, Cognitive Science, or a related discipline

Certifications in AI/ML (e.g., DeepLearning.AI, Google Cloud ML Engineer) are a plus

Nice to Have:

Contributions to open-source AI projects

Experience with causal inference and its application in agent decision-making

Familiarity with formal methods for agent behavior verification

Background in human-AI interaction design and UX for AI-powered applications

Experience developing agents for domains like cybersecurity or IT operations automation

Knowledge of neuro-symbolic AI and reinforcement learning from human feedback (RLHF) or direct preference optimization (DPO)

Join the Kaseya growth rocket ship and see how we are #ChangingLives !

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About the opportunity

We are seeking a Site Reliability Engineer to join the Platform Engineering domain in the AI Platform team.

The mission of Platform Engineering is to provide trusted, performant, self-service platforms that empower product teams to build \"the bank the world loves to use.\" The AI Platform team contributes to this mission by creating scalable, secure, and compliant infrastructure solutions that support MLOps and GenAI capabilities.

As one of the first banks completely hosted in the cloud, our security, resilience, and productivity standards require not only the use of a modern technology stack but also building teams in line with our principles, supporting our product teams, the company, and our customers.

In this role, you will:

Contribute to the design and development of platform components that enable machine learning and generative AI use cases across the company
Take ownership of reliable deployment, maintenance, monitoring, and incident response for our services
Write high-quality, maintainable code and help ensure our platform solutions are well-documented and testable
Work alongside more senior engineers to evolve our infrastructure and build secure, compliant and scalable solutions across cloud, networking, observability and CI/CD domains
Collaborate with ML Engineers, SREs, and other Platform teams to ensure operability and maintainability of AI capabilities offered across the company
Participate in code reviews, RFCs, documentation and product discovery, contributing to the team's design and decision-making processes
Identify technical or knowledge gaps and proactively work to address them, either independently or with the team
Help improve our engineering practices and team ways of working

What you need to be successful

Background and skills:

Proven experience specifically in infrastructure and reliability engineering, including deployment automation, monitoring, incident management, and performance tuning
Solid programming skills, ideally in Python, Go or TypeScript, and experience writing production-grade code
Familiarity with cloud-native development and AWS infrastructure, including some experience with services like SageMaker, Bedrock, or other AI/ML-related services
Experience with Kubernetes, CI/CD pipelines (e.g. ArgoCD, GitHub Actions), Infrastructure-as-Code tools (e.g. Terraform), and containerization (Docker)
Working knowledge of networking, security and compliance best practices in production environments
Appreciation for good documentation, testing and observability

Nice to have:

Exposure to MLOps practices or working with Data Science/Machine Learning teams
Familiarity with prompt-based or LLM-driven GenAI workflows
Interest or prior experience in building developer-facing platforms and reusable abstractions

Traits:

You take pride in writing clean, reliable, and well-tested code
You’re a proactive team player who communicates openly and supports others
Comfortable working in a cross-functional environment, with a focus on practical impact
Eager to learn from others and also share your knowledge with newer team members
Excited by the opportunity to work on cutting-edge AI platform capabilities while developing your expertise across a mix of SRE, ML, and platform domains

We're looking for someone who wants to grow their career in the AI infrastructure space, bringing battle-tested SRE practices to a cross-functional team while also learning from experienced engineers in Machine Learning, Backend, and Platform Engineering. You'll have the chance to contribute meaningfully to the evolution of the AI platform that’s at the heart of the company’s highest value bets, helping to build a foundation for reliable, scalable and democratized access to Machine Learning and GenAI capabilities across N26.

If you're motivated by ownership, curious about AI and infrastructure, and energized by working in a high-impact, collaborative team: we’d love to hear from you!

What’s in it for you:

Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
Vacation days vary depending on your location of work. Additional day of annual leave for each year of service.
A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

Founded in 2013, N26 now has more than 8 million customers in 24 markets. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

","hiringOrganization":{"@type":"Organization","name":"N26","sameAs":"https://n26.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Cloud & AI Platform Finance Manager","datePosted":"2025-08-06","description":"

Seeking a Microsoft Customer and Partner Solutions (MCAPS) finance role in Zürich, Switzerland?

Keen on working with and learning from finance teams in the Field and at Corporate?

Energized by teamwork and playing an integral role in helping leaders see beyond the numbers? If yes, come and join us!

This role is for you if you enjoy solving complex and ambiguous business problems. You will develop deep analytical and collaboration skills. You will also develop deep understanding of the business you support and have an eye for detail without losing sight of the big picture.

You can effectively manage orchestration of complex deliverables, be highly collaborative across multiple teams/cultures and at the same time can sit across the table with leaders with

crisp and succinct insights to drive decision making. We are looking for an experienced Finance Manager with effective Controllership and Financial Analysis expertise to support Swiss Area Finance organization. If this sounds like you, then we should talk.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day

Responsibilities

OB Accountability and Forecast Accuracy: Responsible for ROB accountability and driving forecast accuracy for our products. This includes providing executive insights on deviations from forecasts based on drivers, trends, or deal-based performance.

Drive Growth and Increase Share: Lead efforts to drive performance by providing insights and opportunities modeling. Mainstream and evangelize whitespace models, and recommend actions based on competitive market insights to drive end-to-end upsell execution. Provide actionable insights supporting pipeline generation, leading to growth and increased market share.

Go to Market: Advocate for our products. Partner with our GTM leads to drive multiple initiatives aimed at accelerating growth. This includes long-range planning, investment strategy, resilient customer adds, sales play targeting, cloud economics deep modeling, and more. Support the business with usable analytics and customer engagement, including TCO analytics. Understand competitive market insights for our products and provide thought leadership around new business opportunities and growth roadmap landscape.

Product Technical Expertise: Serve as the go-to person on any technical topic pertaining to our products for the Finance organization within the Area. This may include periodic training on newer topics and initiatives.

Productivity Insights and Resource Optimization: Drive productivity insights for our resources through engagement with the business. Look at correct coverage ratios by role and segment, and provide insights into velocity and capacity through milestone ownership across success engagements.

Compliance: Drives the right tone from executive leadership and ensures strict adherence and understanding of Microsoft policies on risk and compliance. Influences leadership to ensure compliance is a top priority and modeled throughout the organization. Advocates, educates, and promotes best practices and new developments. Encourages asking questions and identifying risks to compliance. Champions Microsoft privacy, security, and ethical standards.

Qualifications

Required/minimum qualifications

Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience. Preferred Qualifications

Cloud expertise, deal structuring knowledge
advanced Excel skills
machine learning/bot experience, and advanced Excel skills preferred
Experience in Multinationals with multi-product/multi-segment finance roles is recommended
Good compliance understanding / experience for the deal structuring and execution.
Fluent in English
BA/BS or MBA degree in Finance, Economics,
Workpermit for the European Union is an advantage
Worklocation Zürich, Switzerland

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Role OVO-View

Team: ML Engineering

Salary banding: £50,000 - £72,000

Experience: Mid-level

Working pattern: Full-Time

Reporting to: AI Platform Tech Lead

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Cross-collaboration. Design. Ownership.

Top 3 qualities for this role: Adaptability, communication, technical skill

Where you’ll work:

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person.

You’ll be assigned to the closest one of our three hub offices, Bristol, Glasgow, or London; unless your role requires field-based work. Each hub has accessible spaces to park your laptop, is designed to inspire people, help them connect and bring big ideas to life.

Everyone belongs at OVO

At OVO, we are on a mission to solve one of humanity's biggest challenges, the climate crisis. And we know it takes all of us to change the world. That's why we need diverse people from all abilities, gender identities, ethnicities, ages, sexual orientations, life experiences and backgrounds to join us.

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

Our team’s vision is to pioneer a sophisticated AI platform, centralising the operation of all OVOs ML models. Our goal is to empower our company with superior AI solutions. Whether we are solving climate change or another sophisticated challenge, we aim to make a difference. Be part of this progressive journey with us.

This role in a nutshell:

As a Machine Learning Engineer, you will work closely with fellow machine learning engineers to design, build, and deploy machine learning solutions that drive business value. To do this, you will develop new features, and functionalities on the OVO AI Platform, which is used by engineers, and data scientists as a foundation to deliver their AI models, and use cases.

This is a great opportunity for someone who is motivated to drive ML advancements, and best practices across a business with wide-ranging impact, and loves working in collaborative, and supportive environments.

Your key outcomes will be:

Help architect, design, and deploy new features, and functionality on the OVO AI Platform to enable users to deliver high-quality machine learning, and artificial intelligence models at scale
Team up with multi-functional teams, including product managers, software developers, and business analysts, to align machine learning initiatives with business goals.
Stay up-to-date with the latest ML trends, tools, and technologies to ensure the team’s technical approach is innovative.
Foster an inclusive team environment where everyone feels valued and excited to contribute.
Communicate optimally with collaborators to explain concepts and drive informed decision making.

Within your first 3 months month you’ll:

Gain a comprehensive understanding of our AI platform and associated MLOps principles.
Begin collaborating on various projects, providing insights and advice on ML standard processes and software engineering guidelines.
Contribute to the development and enhancing our systems
Guide and educate other teams about effective ML practices and MLOps strategies.

Systems: Google Cloud Platform services (Vertex AI), GitHub

You’ll be a successful Machine Learning Engineer at OVO if you…

Excellent production-level programming skills in Python; other languages are a plus.
Proficiency in at least one ML framework, such as scikit-learn, XGBoost, Tensorflow, or PyTorch.
Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure.
Experience in designing, and deploying ML pipelines in production environments; knowledge of Kubeflow Pipelines is a plus.
Good understanding of ML principles, monitoring, security, and data preprocessing techniques.
Familiarity with software engineering practices, such as software testing, design patterns, CI/CD, version control, containerisation, infrastructure as code/Terraform; knowledge of Kubernetes is a plus.
Strong communication traits, able to explain technical concepts to both technical and non-technical team members.
Problem-solving demeanor, with the ability to excel in a collaborative, fast-paced environment.
Open-mindedness, cultural sensitivity, and a commitment to fostering an inclusive workplace

Let’s talk about what’s in it for you

We’ll pay you between £50,000 and £72,000, depending on your specific skills and experience.

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

We also offer plenty of green benefits and progressive policies to help you feel like you belong at OVO…and there’s flex pay. We'll give you 9% Flex Pay on top of your salary – 4% of this is auto enrolled into your pension, and the remaining 5% is yours to do what you like with. You can use this to buy from our extensive range of flexible benefits, including our green benefits which we've put at the heart of our offering, add to your pension or even take it as cash.

Here’s a taster of what’s on offer:

For starters, you’ll get 34 days of holiday (including bank holidays).

For your health
With benefits like a healthcare cash plan or private medical insurance depending on your career level, critical illness cover, life assurance, health assessments, and more

For your wellbeing
With gym membership, travel insurance, workplace ISA, will writing services, dental insurance, and more

For your lifestyle
With extra holiday buying, discount dining, home & tech loans, and supporting your favourite charities with give-as-you-earn donations

For your home
Get up to £400 towards any OVO Energy plan, plus great discounts on solar, smart thermostats and EV chargers

For your commute
Nab a great deal on ultra-low emission car leasing, plus our cycle to work scheme and public transport season ticket loans

Want to hear about our full range of flexible benefits and progressive people policies? Our People Team can tell you everything you need to know.

For your Belonging

To find better ways to support our people, we need to listen to each other’s experiences and find ways to build a truly inclusive and diverse workplace. As part of this, we have 8 Belonging Networks at OVO. Led by our people, for our people - so when you join OVO, you can play a part - big or small - with any of the Networks. It's up to you.

Oh, and one last thing...

We’d be thrilled if you tick off all our boxes, yet we also believe it’s just as important we tick off all of yours. And if you think you have most of what we’re looking for but not every single thing, go ahead and hit apply. We’d still love to hear from you!

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.

","hiringOrganization":{"@type":"Organization","name":"OVO Group","sameAs":"https://company.ovo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Any of our offices"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior ML/AI Platform Engineer","datePosted":"2025-08-05","description":"

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Senior ML/AI Platform Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

BetterHelp is looking for a Senior ML/AI Platform Engineer to join its data team. BetterHelp intends to work on a series of interesting AI driven projects. The ideal candidate should have a combination of experience in platform engineering, machine learning, and software engineering.

As a Senior ML/AI Platform Engineer on the team, you will be responsible for doing platform work to help productionizing and scale AI/ML products. You will also assist ML Engineers and Data Scientists in deploying their code into production. You will have a pivotal role in our organization and you will work closely with DevOps Engineering, Software Engineers, and Data Engineers.

This is an exceptional opportunity for those who want to lead machine learning efforts and make an impact while working in one of the fastest growing businesses in the bay area. This role will work closely with the Sr. Director of ML/Data Engineering and will have an important role in setting up the direction of the machine learning efforts, hiring successful talent, and mentoring junior data scientists and engineers.

What will you do?

Design, prototype and productionize scalable AI/machine learning models
Play a critical in setting up the best practices in machine learning, setting direction of the machine learning platform
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
Partner with ML engineers and data scientists to troubleshoot and optimize complex ML pipelines
Work with product managers and business partners to gather requirements for machine learning models
Build model deployment platform that can simplify implementing new models
Build end-to-end reusable pipelines from data acquisition to model output delivery
Mentor and guide junior data scientists to deploy their models into production
Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp

What will you NOT do?

You will NOT worry about \"runway\", \"cash left\", or \"how much time we have until the next round\". We have the startup DNA but we're fully backed and funded, all the way to success.
You will NOT be confined to your \"job\". You will get involved in product, marketing, business strategy, and almost everything we do.
You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

3+ years of experience in machine learning platform systems
Experience with autoscaling, and autoscaling such as load balancing
Solid understanding of distributed computing and proven experience with them
Superb written and oral communication skills
Experience integrating ai/machine learning models in production
Strong background in shell or bash scripting
Experience building CICD pipelines
Experience with infrastructure as service tools such as terrafrom, cloud formation
Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms
Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow
Experience with development environment and deployments using Docker
Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms
Experience in writing data pipeline and machine learning libraries and utilities
Willingness to learn new technologies
Willingness to mentor junior ml engineers and data scientists
Comfortable in a high-growth, fast-paced and agile environment

Bonus (Great to have, but not required)

Experience with building and training machine learning models
Experience hosting open source AI models and LLMs
Experience working and productioning feature stores
Experience with Data stores such as S3, Snowflake, and DynamoDB

Benefits

Remote work with regular in-person bonding experiences sponsored by the company
Competitive compensation
Holistic perks program (including free therapy, employee wellness, and more)
Excellent health, dental, and vision coverage
401k benefits with employer matching contribution
The chance to build something that changes lives – and that people love
Any piece of hardware or software that will make you happy and productive
An awesome community of co-workers

The base salary range for this position is $170,000 - $200,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

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Permanent

Job Description

From ideas to reality. Decode the future.

At Electrolux Group, a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute and grow together.

Join us in our exciting quest to build the future home!

About the role:

Because you’re not here to build just another data pipeline or just deploy another AI model—you’re here to help craft the Global Data & AI Platform that empowers engineers across the world. Our mission? To make life delightful (= build and serve awesome DevEx) for:

Data Engineers building scalable, high-quality pipelines

Analytics Engineers transforming raw data into insights

AI Engineers deploying models that do everything from predicting the future (= classic ML) to generating it (= GenAI and Agentic architectures)

All while ensuring Data Governance, Observability, and Discoverability are baked into every bite.

We’re the team that keeps the platform relevant, scalable, and ready for whatever wild new capability the future throws at us. If you like building tools that make other engineers high-five their screens, you’re in the right place.

What you’ll do:

As a Senior Data & AI Platform Engineer you will be building a world-class Data & AI platform that empowers developers (DevEx), delights stakeholders, and drives innovation across the organization. You’ll play a key role in shaping the future of our data infrastructure, AI capabilities, and engineering culture.

In detail, you will:

Champion Developer Experience
Design and develop a developer-first platform that simplifies data ingestion & transformation, AI model deployment, and agentic architectures—enabling everything from insightful dashboards to advanced AI applications.

Deliver High-Quality Code
Write, test, and deploy robust, scalable, and production-ready features that ensure reliability and performance across our platform.

Drive Strategy and Culture
Co-own the roadmap and backlog for our Global Data & AI platform. Influence and shape the engineering culture across the organization through leadership and collaboration.

Build Scalable Infrastructure
Partner with cross-functional teams to evolve a platform that supports data pipelines, visualizations, model inference, and cutting-edge AI use cases.

Explore and Innovate
Stay ahead of the curve by identifying and integrating emerging technologies and capabilities that keep our platform future-ready.

Who you are:

A B.Sc. in Computer Science—or equivalent skills and experiences.

3+ years of software engineering experience, with solid Python competence (extra points for Rye/UV/Poetry, Ruff, Typeddict etc.). Both for actual for the platform and to be able to dogfood our DevEx!

2+ years of SQL experience. Because someone’s gotta tame the data beast and dogfood our DevEx!

3+ years building scalable, cloud-native platforms with top-tier DevEx (bonus: for Data & AI related). Solid Terraform, IaC etc. Competence. Cloud ninja skills in AWS/GCP/Azure (extra points for Azure).

A pragmatic mindset, attention to detail, and the ability to explain complex ideas to non-technical colleagues.

A love for clean code, automated testing, version control, and shipping software that just works.

Bonus points for Databricks experience (Pyspark, Delta, Unity Catalog—you know the drill).

Where you’ll be:

This is a position based at our Global Headquarters in Stockholm (Sweden).

We are proud of our culture of inclusivity and diversity. At our Global Headquarters we have 60+ nationalities working together for our common goals. You will be part of this dynamic international team where English is the natural language.

Benefits include:

Flexible work hours/hybrid work environment;

Discounts on our award-winning Electrolux products and services;

Insurance policy plan;

Gym, sauna and massage

Extensive learning opportunities and flexible career path.

Ready to redefine the developer experience for Data, Analytics, and AI Engineering? Apply now and help us turn Electrolux into a Data & AI engineering powerhouse! As part of Electrolux Group, we are committed to continuously investing in your development, ensuring there are no barriers to where your career can take you.

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City

Pune

Job Type

Full Time

Country / State

India

Function Category

Information Technology (IT)

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Your team

AI and Model Development Engineering team is a new and important unit within the Core Platform Engineering at UBS operating under the Group CTO function in the Technology Services division. CPE spearheads strategic technology projects, transformative initiatives, and regulatory compliance efforts.

We are a multinational team with diverse backgrounds and we strongly value different perspectives, skills and experiences which helps us build the best product for our clients.

Our team offers comprehensive training tailored for cross-competency advancement and career progression.

If your interests and skills closely match a good part of the skills listed below – let us know!

Your expertise

Core skills:
• strong software engineering skills (design & architecture, coding excellence, championing best practices, promoting automated testing, constructive code and design reviews, debugging & problem solving, communication and agile planning)
• polyglot Programming: Strong proficiency in one or more language such as java, .net, python with a focus on writing clean, efficient, and maintainable code. Willing and able to learn new languages quickly. Must be willing to learn Python.
• devOps and CI/CD: experience in setting up and managing CI/CD pipelines to automate build, test, and deployment processes (e.g. using GitLab)
• stakeholder management: including managing local team, end-users, peers for product integration, and senior management.

Additional skills that would be beneficial:
• cloud: Solid understanding of cloud services, capabilities, and architecture. Experience in deploying, managing, and scaling applications. Preference for Azure.
• scripting: for automating cloud-related tasks. (e.g. bash and / or PowerShell for Azure automation)
• problem solving & Critical thinking: Ability to quickly diagnose and resolve systems issues. Identify performance bottlenecks and optimize infrastructure
• infrastructure as Code: good knowledge of provisioning and managing cloud infrastructure (e.g. using Terraform)
• containerization and Orchestration: Expertise in Docker and Kubernetes, ideally also with Azure Kubernetes Service (AKS) for deploying and managing containerized applications.
• cloud Security: Understanding of cloud security best practices, e.g. role-based access control (RBAC), network security groups (NSGs), and Azure Active Directory (AAD).
• business Continuity and Disaster Recovery knowledge is a plus, e.g. strategies and tools for ensuring data integrity and service availability in case of failures.
• incident Management is a plus, e.g. experience in managing incidents, conducting root cause analysis, and implementing corrective actions.
• cost management is a plus, e.g. experience in using Azure Cost Management tools to monitor and optimize cloud costs.
• ansible is a plus, e.g. experience with Ansible for configuration management and automation would be beneficial.

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

How we hire

We may request you to complete one or more assessments during the application process. Learn more

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Seeking a Microsoft Customer and Partner Solutions (MCAPS) finance role in Zürich, Switzerland?

Keen on working with and learning from finance teams in the Field and at Corporate?

Energized by teamwork and playing an integral role in helping leaders see beyond the numbers? If yes, come and join us!

You can effectively manage orchestration of complex deliverables, be highly collaborative across multiple teams/cultures and at the same time can sit across the table with leaders with

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day

Responsibilities

Qualifications

Required/minimum qualifications

Cloud expertise, deal structuring knowledge
advanced Excel skills
machine learning/bot experience, and advanced Excel skills preferred
Experience in Multinationals with multi-product/multi-segment finance roles is recommended
Good compliance understanding / experience for the deal structuring and execution.
Fluent in English
BA/BS or MBA degree in Finance, Economics,
Workpermit for the European Union is an advantage
Worklocation Zürich, Switzerland

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Title: Staff AI Platform Engineer II

Location: This position is 100% remote.

Module: Kaseya One Platform

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com, a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

WHAT YOU’LL DO:

WHAT WE ARE LOOKING FOR:

THE SCHEDULE: 
This position is 100% remote.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Design and implement autonomous AI agents capable of perception, reasoning, and learning in complex, real-world environments

Develop and optimize agentic architectures using LLMs, vector databases, and symbolic reasoning engines

Apply advanced RAG techniques, prompt engineering, and fine-tuning to enhance agent performance

Integrate knowledge graphs and multi-modal capabilities to enable contextual and adaptive agent behavior

Build robust evaluation frameworks, A/B testing pipelines, and model versioning systems

Collaborate with platform, data, and product teams to ensure seamless deployment and continuous improvement of intelligent agents

WHAT YOU’LL BRING:

5-7+ years of experience in applied AI/ML, with a strong focus on building intelligent systems and autonomous agents

Deep expertise in Python and/or TypeScript

Hands-on experience with multiple LLMs (e.g., GPT, Llama, Claude, Gemini), including fine-tuning, advanced RAG techniques, and prompt engineering

Proficiency with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI

Experience developing agent planning and reasoning algorithms (e.g., Tree of Thoughts, ReAct, Monte Carlo Tree Search)

Strong background in model evaluation, A/B testing, and versioning for AI models

Familiarity with vector databases (e.g., Pinecone, Milvus, Chroma)

Experience with knowledge graphs (e.g., Neo4j, RDF) and symbolic AI approaches

Understanding of multi-modal LLM capabilities and responsible AI practices

Experience with explainable AI (XAI) and responsible AI toolkits

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Preferred: PhD in AI, Cognitive Science, or a related discipline

Certifications in AI/ML (e.g., DeepLearning.AI, Google Cloud ML Engineer) are a plus

Nice to Have:

Contributions to open-source AI projects

Experience with causal inference and its application in agent decision-making

Familiarity with formal methods for agent behavior verification

Background in human-AI interaction design and UX for AI-powered applications

Experience developing agents for domains like cybersecurity or IT operations automation

Knowledge of neuro-symbolic AI and reinforcement learning from human feedback (RLHF) or direct preference optimization (DPO)

Join the Kaseya growth rocket ship and see how we are #ChangingLives !

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The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job requires building and maintaining enterprise AI/ ML platform for PayPal. You need to design and implement large scale distributed AI platforms and systems. It involves advising management on project-level issues, guiding junior engineers, operating with little supervision, and applying knowledge of technical best practices.

Job Description:

Essential Responsibilities:

Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
Advises immediate management on project-level issues
Guides junior engineers
Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
Applies knowledge of technical best practices in making decisions

Minimum Qualifications:

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Bachelor's or master's degree in Computer Science or related field with 5 or more years of experience
Experience in distributed systems, machine learning frameworks and cloud platforms
Expertise in Java, Python along with experience in docker, Kubernetes is highly valued

Subsidiary:

PayPal

Travel Percent:

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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About the team & opportunity

We are seeking a Senior Backend Engineer to help design and build our next-generation AI Platform. As a key member of our Engineering team, you will drive the development of highly scalable, reliable, and performant backend systems that power AI services for end users and product teams. You will collaborate closely with ML engineers, product managers, and other cross functional partners to architect tools and services that accelerate our AI capabilities.

A day in the life of a Senior Backend Engineer at Calendly

On a typical day, you will:

Architect, implement, and maintain backend services and APIs for AI-driven products and features.
Build scalable infrastructure to support large-scale training, deployment, and monitoring of machine learning models.
Integrate third-party AI/ML solutions where appropriate and optimize system performance.
Implement security, compliance, and data privacy best practices for AI workflows.
Collaborate cross-functionally with ML engineers and data scientists to enable seamless model deployment and management.
Develop testing frameworks and monitoring tools to ensure system reliability and observability.
Participate in technical design reviews and provide input on best practices and emerging technologies.
Debug production issues across services and multiple levels of the stack

What do we need from you?

Professional experience (typically 8+ years) as a backend engineer or in a similar software engineering role, ideally supporting data or ML systems.
Hands-on experience building distributed systems, GraphQL and RESTful APIs, and/or microservices architectures.
Strong proficiency in at least one backend programming language (such as Python, Go, Java, or Scala).
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Familiarity with storage solutions relevant for AI (e.g., PostgreSQL, MongoDB, Redis, object storage, data lakes).
Knowledge of security, privacy, and compliance principles in distributed/cloud environments.
Comfortable with CI/CD pipelines, version control systems (Git), and infrastructure-as-code.

What’s in it for you?

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com .

All candidates can find our Candidate Privacy Statement here

Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection

The ranges listed below are the expected annual base salary for this role, subject to change.

Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
Tier 3: All other locations not in Tier 1 or Tier 2

Tier 1 Salary$182,000—$273,000 USDTier 2 Salary$166,900—$234,000 USDTier 3 Salary$151,700—$227,600 USD","hiringOrganization":{"@type":"Organization","name":"Calendly","sameAs":"https://calendly.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Sr AI Platform engineer (Java)","datePosted":"2025-08-18","description":"

The Company

Job Summary:

We are seeking an experienced software engineer as a technical lead in a talented geographically distributed engineering team to build a world class end-to-end AI/ML platform to scale up AI/ML solution development at PayPal, enabling intelligent decision making in everything we do. The ideal candidate is customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members.

Job Description:

Essential Responsibilities:

Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
Advises immediate management on project-level issues
Guides junior engineers
Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
Applies knowledge of technical best practices in making decisions

Minimum Qualifications:

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

What you need to know about the role :-

Meet our team :-

The PayPal AI/ML Platform and Solutions (AMPS) team is building a world class end-to-end AI/ML platform to scale up AI/ML solution development at PayPal, enabling intelligent decision making in everything we do.

Your way to impact :-

The ideal candidate is customer-centric, strategic & analytical in decision making and laser-focused on executing at scale.
You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success.
Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments.
With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members.

Your day to day :-

In your day-to-day role you will

Provide technical leadership in a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform to enable a standardized end-to-end model development and production lifecycle with delightful user experience

Collaborate with cross-functional teams including product managers, data scientists, and software engineers to define platform requirements and priorities.

Architect scalable and efficient platform that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end.

Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.

Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.

Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner

Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.

Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities

Subsidiary:

PayPal

Travel Percent:

Our Benefits:

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

Belonging at PayPal:

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week, at minimum.

Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM’s enterprise-wide AI infrastructure—from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. We're building the data, compute, and deployment layers necessary to scale cutting-edge AI systems across GM's global operations.

Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and deployment of AI models across the organization, collaborating with vehicle and manufacturing teams to deliver high-impact AI solutions across GM’s portfolio, championing and promoting cutting-edge AI technologies, while ensuring responsible AI practices.

The Role:

As a Senior Machine Learning Engineer on the AI Core Infrastructure team, you will play a critical role in shaping GM’s future through the high-impact AI systems you develop. You will design and build advanced AI technologies then integrate them into GM’s business strategies, culture, and operational workflows. You’ll be a hands-on technical contributor focused on building core infrastructure components for AI/ML workflows. You’ll work closely with other engineers and researchers to deliver performant, production-grade systems.

What You’ll Do:

Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
Collaborate with researchers and industry partners to understand technical requirements and measure impact
Scale our architecture to deploy reliably and performantly across large-scale applications
Define best practices for AI software engineering across the company, including AI safety/guardrails
Provide technical guidance to internal teams and business partners

Additional Job Description

Your Skills & Abilities (Required Qualifications)

4+ years in software engineering or ML infrastructure (or post-graduate equivalent)
Proven track record of building cutting-edge AI infrastructure (data, training, eval and/or serving)
Strong understanding of modern AI algorithms, models and frameworks (e.g. PyTorch, TensorFlow etc.)
Experience deploying AI systems on Cloud-based GPUs/TPUs (AWS, Azure, GCP, etc.)
Fluency in Python, and at least one of C++/Go/Java.

What Will Give You A Competitive Edge (Preferred Qualifications)

Experience in the automotive industry or working with physics-based simulations
Experience with natural language AI, such as customization, summarization and translation
Experience with test-driven development.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 152,000 to 230,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

#LI-CX1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

","hiringOrganization":{"@type":"Organization","name":"General Motors","sameAs":"https://www.gm.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View Technical Center - Mountain View Technical Center, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Tech Lead, Agentic AI Platform","datePosted":"2025-08-20","description":"

What You Will Do

Are you up for an exciting challenge? Picture yourself scaling and optimizing a cutting-edge Generative AI product that offers instant assistance to enterprise users. Ever wondered how to apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system? If so, we invite you to join our Conversation Engine team. At our company, you'll have the unique opportunity to work at the core of Moveworks Generative AI product. Your main focus will be scaling and optimizing it to meet the growing demands of the enterprise solution space. Take a look at our recent posts (Moveworks Live, Creator Studio) on Moveworks’s groundbreaking solutions for enterprise AI. As pioneers in enterprise AI, we don't follow a set formula for building the next solution. Instead, we encourage you to bring your innovative ideas and imagination to solve unsolved problems. You'll collaborate closely with machine learning experts and cross-functional teams, rapidly iterating over new ideas, and leveraging user behavior data to make informed decisions. Your challenge will be to scale and optimize our conversation engine to support hundreds of millions of users, across multiple chat channels and use cases, and enhance our end-to-end product infrastructure with the utmost engineering quality and robustness.

Construct an extensive product infrastructure, complete with user-friendly interfaces that empower engineers and configurators to effortlessly customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases and business contexts, and delivering domain-specific conversational experiences.
Design scalable API abstractions for our conversation platform, which supports all popular chat clients (for example, MSTeams, Slack, and Web) and offers a neutral API for developing other parts of the engineering system.
Optimize the dialog engine to accommodate a wide range of conversational features, leveraging private domain knowledge unique to each enterprise customer in the cloud, and enable real-time multilingual translation. You will achieve this with minimal memory footprint, low latency, and streamlined development process for application engineers.
Champion the best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvements among fellow engineers.
Provide comprehensive insights and visibility into the performance of our conversational AI product. This involves implementing a robust logging and tracing framework, user-friendly debugging and triaging tools, and automated metrics for efficient monitoring and analysis.
Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives.

What You Bring To The Table

A strong foundation in computer science and software engineering, coupled with expertise in building scalable systems.
A deep understanding of clean, modular, and scalable API design. You have the ability to champion best coding practices and influence fellow engineers to uphold high standards of code quality and craftsmanship.
A passion for optimizing systems and improving performance. You are well-versed in tracing, logging, and metrics frameworks, and possess a systematic approach to quickly identify and resolve latency bottlenecks, race conditions, and throughput limitations.
The ability to independently research new requirements and develop innovative solutions. You thrive in an environment of fast-paced coding and execution, embracing rapid iterations to deliver results.
Strong communication skills to effectively articulate rationales and design approaches. You have a cross-functional awareness that enables you to collaborate seamlessly with various teams.
A bachelor's degree or higher in computer science or a related field, demonstrating your academic foundation in the field.
7+ years of professional development experience, specifically in building systems at scale.

Nice To Have

Experience with scaling ML systems
Experience with Agentic AI product or LLMs

Base salary compensation range: $227,000 - 275,000

*Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.
Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

Moveworks Is An Equal Opportunity Employer
*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.

Who We Are

Moveworks is an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.

It’s all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them — in seconds.

Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek.

Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.

Come join one of the most innovative teams on the planet!

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Primary Duties:

Build a high performing team by hiring and nurturing engineering talent.
Strong technical leadership - drive technical solutioning and building roadmaps.
Set aggressive and clear goals and remove all roadblocks for the team to achieve them.
Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes.
Work closely with engineering leaders to drive engineering excellence in our processes and systems.

Minimum Qualifications:

BS/BTech (or higher) in Computer Science, Engineering or a related field required.
10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software.
5+ years of managerial experience building and leading technical engineering teams.
Experience managing AI and platform engineering teams.

Preferred KSA’s:

You have experience in attracting, hiring, and coaching world-class engineers including performance management.
You have experience in taking ownership of the technology decisions, while delegating and empowering team members.
You have experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
You have strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.
You have experience managing platform engineering teams that have built production grade infrastructure for MLOps or LLM Ops.
You have experience leading big data engineering teams.
5+ years experience building and managing platform engineering teams and specifically machine learning platform engineering teams at scale.
Experience managing AI platform engineering teams on python stack.
Excellent problem-solving, organizational, and communication skills.
Leadership Experience. You have led engineering teams in past roles, demonstrating an ability to mentor, inspire, and drive technical excellence.
Strategic Vision. You have experience crafting and executing a strategic vision for the team. You have connected day-to-day tactics to long-term strategy, ensuring that the team's output aligns with our business goals.
Planning Prowess. Your background includes translating business objectives into technological roadmaps, aligning short-term actions with long-term strategic goals, and effectively communicating these plans to both technical and non-technical stakeholders.
Experience with Scaled Deployment. Your experience includes managing the challenges of software deployment, updates, and maintenance across thousands of remote endpoints (browser/windows apps/etc.).
Experience in building and managing chromium based apps, pluggable UIs (overlays) which work via chrome plugins / chromium apps in browsers / windows desktop.
Experience with the healthcare industry, understanding of healthcare-related regulatory compliance, and Electronic Health Records (EHRs/EMRs) is a plus.
You have experience in attracting, hiring, and coaching world-class engineers including performance management.
Familiarity with at least 1 server-side web technology (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM). Python preferred.
Experience with cloud based technologies such as AWS, Azure or google cloud.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

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Ready to be pushed beyond what you think you’re capable of?

What you’ll be doing (ie. job duties):

Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
Lead project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
Write high-quality, well-tested code in Python and Golang to address critical product and business needs.
Architect scalable, secure systems using modern cloud technologies and industry best practices.
Mentor team members on design principles, coding standards, and AI productivity tools adoption.
Debug complex technical issues to enhance system reliability, scalability, and ease of operation.
Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
Build pipelines to integrate with third-party vendors and streamline workflows.

What we look for in you (ie. job requirements):

5+ years of experience in software engineering.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of micro-services architecture.
Ability to write high-quality, well-tested code that meets customer needs.
Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them.
Strong technical skills in system design and coding.
Passion for building an open financial system that unites the world.
Excellent written and verbal communication skills, with a preference for open and transparent cultural practices.

Nice to haves:

Experience navigating rapid company growth (e.g., from startup to mid-size).
Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
Background in AI/LLM infrastructure is a strong plus.

Job Id : GPBE05IN

*Answers to crypto-related questions may be used to evaluate your onchain experience.

Commitment to Equal Opportunity

Global Data Privacy Notice for Job Candidates and Applicants

AI Disclosure

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

","hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Staff Machine Learning Engineer - AI Platform","datePosted":"2025-07-22","description":"

Ready to be pushed beyond what you think you’re capable of?

The AI Platform Team is a dynamic and ambitious group focused on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase. Our mission is to accelerate AI adoption, enhance team efficiency, and deliver exceptional customer experiences by embedding growth pods directly within teams across the organization. As a Machine Learning Engineer on our team, you will play a pivotal role in this transformation, leveraging cutting-edge AI models, frameworks, and tools, as well as diverse and extensive data sources—including blockchain data. Your work will focus on lowering the barriers to cryptocurrency adoption while shaping the future of AI-powered interactions. This includes enhancing recommendations, chatbots, and other intelligent features to make our products more intuitive, accessible, and user-friendly.

What you’ll be doing (ie. job duties):

Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.
Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
Develop high-quality, well-tested Python code to address critical product and business needs.
Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

What we look for in you (ie. job requirements):

8+ years of experience in machine learning and software engineering.
Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
Ability to write high-quality, well-tested code that effectively addresses customer needs.
Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.
Passion for building an open financial system that connects the world.
Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.

Nice to haves:

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
Familiarity with model interpretability and responsible AI practices.
Expertise in data analysis and visualization.

Job ID: GPML06US

Commitment to Equal Opportunity

Global Data Privacy Notice for Job Candidates and Applicants

AI Disclosure

For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

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Microsoft’s Commercial Solution Area (CSA) sets the sales strategy, leads technical sales, and operations as a hub for the Commercial Solution Areas and Support Services that power the Microsoft Cloud. We work closely with other Microsoft teams and partners, especially Customer Success, Marketing, and the STU, to ensure those solutions meet our customers’ needs.

As an Azure Infra Specialist, you are a senior business leader with technical and business expertise within our enterprise sales organization, working with our most important customers. You will lead a virtual team of sales, technical, and services resources to help customers realize the digital transformation through cloud computing. You will develop and maintain a holistic Azure migration and modernization expertise, able to identify projects, build a compelling business case, and drive the consumption project to production. You will build and maintain relationships with customers, influence long-term strategic direction and act as a trusted advisor driving engagement at the CXO level with business and technology decision makers.

Responsibilities

Create “buy-in” vision with key decision makers by building executive relationships to generate excitement around Microsoft solutions’ value to influence long-term strategic direction
Engage and jointly sell with Partners and Priority ISVs to maximize business results by bringing together Microsoft and Partner solutions to deliver against customer business outcomes
Build business cases and customer proposals to substantiate the value of the solution leveraging available programs and offer to negotiate, close the deal and successfully displace competition.
Lead multi-million-dollar deals requiring orchestration of virtual teams composed of industry, solution, technical, licensing & legal team members.
Drive Sales Excellence: Exceed sales / cloud consumption quota by driving pipeline management and accurate forecasting.
Be the Voice of the Customer: Share feedback, best practices to influence Microsoft Go-To-Market and product strategies

Qualifications

Bachelor's degree in Computer Science, Information Technology, Business Administration,
OR related field AND 5+ years of technology-related sales or account management experience;
OR 8+ years of technology-related sales or account management experience
8-10 years experience leading the sales of large cloud engagements, especially those involving Infrastructure migration and application modernization projects to large/global enterprise customers

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai, Shanghai, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Solution Area Specialists--Cloud & AI Platform","datePosted":"2025-07-16","description":"

Responsibilities

Create “buy-in” vision with key decision makers by building executive relationships to generate excitement around Microsoft solutions’ value to influence long-term strategic direction
Engage and jointly sell with Partners and Priority ISVs to maximize business results by bringing together Microsoft and Partner solutions to deliver against customer business outcomes
Build business cases and customer proposals to substantiate the value of the solution leveraging available programs and offer to negotiate, close the deal and successfully displace competition.
Lead multi-million-dollar deals requiring orchestration of virtual teams composed of industry, solution, technical, licensing & legal team members.
Drive Sales Excellence: Exceed sales / cloud consumption quota by driving pipeline management and accurate forecasting.
Be the Voice of the Customer: Share feedback, best practices to influence Microsoft Go-To-Market and product strategies

Qualifications

Bachelor's degree in Computer Science, Information Technology, Business Administration,
- OR related field AND 1+ years of technology-related sales or account management experience;
- OR 3+ years of technology-related sales or account management experience
3-5 years experience leading the sales of large cloud engagements, especially those involving Infrastructure migration and application modernization projects to large/global enterprise customers

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai, Shanghai, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer (AI Platform)","datePosted":"2025-08-05","description":"

Role OVO-View

Team: ML Engineering

Salary banding: £74,000 - £105,600

Experience: Expert

Working pattern: Full-Time

Reporting to: AI Platform Tech Lead

Sponsorship: Unfortunately we are unable to offer sponsorship for this role.

This role in 3 words: Cross-collaboration. Design. Ownership.

Top 3 qualities for this role: Adaptability, communication, technical skill

Where you’ll work:

Depending on the needs of your business area, we expect hub based people to be in the office at least once a week, and to go to OVO Connection events in-person.

Everyone belongs at OVO

Teamworking for the planet

Everything we do here spins around Plan Zero. So, naturally, the team you’ll be joining plays a gigantic role in making that happen. Here’s how:

This role in a nutshell:

As a Senior Machine Learning Engineer, you will focus on designing, building, and deploying machine learning solutions that drive business value. To do this, you will develop new features, and functionalities on the OVO AI Platform, which is used by engineers, and data scientists as a foundation to deliver their AI models, and use cases.

Your key outcomes will be:

Architect, design, and deploy new features, and functionality on the OVO AI Platform to enable users to deliver high-quality machine learning, and artificial intelligence models at scale
Team up with multi-functional teams, including product managers, software developers, and business analysts, to align machine learning initiatives with business goals.
Mentor, and drive technical direction for machine learning engineering, and data science colleagues building innovative AI solutions
Stay up-to-date with the latest ML trends, tools, and technologies to ensure the team’s technical approach is innovative.
Foster an inclusive team environment where everyone feels valued and excited to contribute.
Communicate optimally with collaborators to explain concepts and drive informed decision making.

Within your first 3 months month you’ll:

Gain a comprehensive understanding of our AI platform and associated MLOps principles.
Begin collaborating on various projects, providing insights and advice on ML standard processes and software engineering guidelines.
Contribute to the development and enhancing our systems
Guide and educate other teams about effective ML practices and MLOps strategies.

Systems: Google Cloud Platform services (Vertex AI), GitHub

You’ll be a successful Senior Machine Learning Engineer at OVO if you…

Experience leading technical ML projects.
Excellent production-level programming skills in Python; other languages are a plus.
Proficiency in ML frameworks, such as scikit-learn, XGBoost, Tensorflow, or PyTorch.
Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure.
Experience in designing, and deploying ML pipelines in production environments; knowledge of Kubeflow Pipelines is a plus.
Deep understanding of ML principles, monitoring, security, and data preprocessing techniques.
Familiarity with software engineering practices, such as software testing, design patterns, CI/CD, version control, containerisation, infrastructure as code/Terraform; knowledge of Kubernetes is a plus.
Excellent leadership and mentoring skills.
Strong communication traits, able to explain technical concepts to both technical and non-technical team members.
Problem-solving demeanor, with the ability to excel in a collaborative, fast-paced environment.
Open-mindedness, cultural sensitivity, and a commitment to fostering an inclusive workplace.

Let’s talk about what’s in it for you

We’ll pay you between £74,000 - £105,600, depending on your specific skills and experience.

We keep our pay ranges broad on purpose to give us, and you, flexibility to match your experience to our zero carbon mission.

You’ll be eligible for an on-target bonus of 15%. We have one OVO bonus plan that focuses on the collective performance of our people to deliver our Plan Zero goal.

Here’s a taster of what’s on offer:

For your Belonging

Oh, and one last thing...

If you have any additional requirements, there’s a space to let us know on the application form; we want to make the process as easy and comfortable for you as possible.

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