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Proven to Perform.

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

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ATI is seeking to hire a Product Engineer for our Specialty Rolled Product business unit. This position reports to the Director, Technology and will have an office location in our Washington, PA facility.

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Responsibilities

Accountability & Ownership of assigned products from inquiry through shipment
Serves as expert in all facets of assigned products. This includes flow path, manufacturing set ups and controls, specifications, technical characteristics and customer requirements
Develop, document and implement manufacturing, customer and product trials to continuously improve product attributes, tighten tolerances or reduce cost and flow time
Interface with customer to improve product, resolve issues and grow our business
Identify and develop opportunities for new grades/products or alterations of existing grades to meet new customer business specifications and opportunities
Lead customer qualification programs for new products, customers and applications
Review customer inquiries to determine capabilities of assigned products to meet the requirements and design and implement a flow path to do this
Work with the Marketing & Sales to evaluate new customer opportunities and develop a cost competitive

\nQualifications\n

Basic Qualifications

Bachelors in Materials Science, Metallurgy or Chemical Engineering or related field

Preferred Qualifications

2 years of experience in metallurgical process development or product engineering; OR a MS degree in a field related to titanium metallurgy process development or product engineering\n\n
Experience in titanium metallurgy process development or product engineering
Experience in developing and working with industry specifications
Experience with Nickel Alloys, Specialty Stainless Steels, or Titanium alloy grades
Higher job grades (Sr. Engineer) may be considered for candidates with high levels of experience and/or education

Knowledge, Skills & Abilities

Excellent communication skills (both written and verbal) for internal and external customers at all levels plus the ability to interact with our customers is essential.
Proficient computer background with the Microsoft Office suite (Word, Excel, Outlook, etc.) and ability to adapt to company and job-related system
Occasional travel required.

\n\nWe thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
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*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.

ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.

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Proven to Perform.

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

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ATI is seeking to hire a Process Engineering Intern for our Summer 202 Internship Program. This position will be based in the Pittsburgh, PA region and will run from June to August 2025. Relocation and housing assistance is available for the summer.

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Our Internship Program is designed to provide a rewarding experience and the features of ATI’s Internship Program include:

Experiential Learning: Hands on work assignments and projects related to your career field of interest
Professional Development: Curriculum designed to develop your business acumen and professional skills
Professional Networking: Planned events meant to give you informal networking opportunities with other interns and employees

As an intern at ATI, you’ll gain hands-on experience, learn from experts, and collaborate with teams that do truly exceptional things. The projects and skills outlined below will be guided and directed by an established ATI-Professional in your field of interest.

\n\n

Essential Functions:

Establish relationships between process characteristics and key output variables.
Assist the Quality Department with the development and improvement of standard operating procedures and temporary work instructions.
Identify, justify, and implement cost savings projects.
Participate on Capital Project teams as needed.
Daily and direct interaction with production personnel involving process related issues and potential improvements.

\n\n\nQualifications\n \n \n\n

Requirements:

\n\n

Currently attending accredited 4-year college with a major in Chemical Engineering, Materials Science/Metallurgy, or related field.

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Preferred Requirements:

Desire to work in a manufacturing environment, and working from a maintenance perspective with heavy industrial equipment is a plus
Familiarity with computer-based process models and optimization techniques.
Proficiency with ad-hoc database queries using Microsoft Access or SQL.
Role will have the opportunity to present their projects to the senior management of ATI Specialty Rolled Products at the end of their internship.

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Join the Future of Workspace Innovation at Haworth
Are you ready to shape the future of how people work, live, and thrive? At Haworth, we're not just creating furniture – we're revolutionizing the way the world interacts with spaces. As a global pioneer in workspace design since 1948, we've been pushing boundaries and redefining possibilities for over seven decades.

We're looking for visionaries like you to help write the next chapter of our story.

Discover More Here!

We are currently looking for a Associate Product Engineer to join our team in Holland, MI.

Job Summary

We are seeking a Tailored Solutions Product Engineer to support the design and development of custom and non-standard products that drive a significant portion of our North American sales. This role involves evaluating feasibility, determining costs, and delivering timely responses to support project bids, while ensuring designs meet customer specifications and manufacturing standards. Working in a fast-paced, collaborative environment, you’ll engage with dealers, suppliers, and internal teams across a wide range of product categories. You’ll also support Engineering Designers to ensure high-quality outputs that align with customer intent. Strong engineering fundamentals, problem-solving skills, and the ability to manage multiple requests daily are essential for success in this role.

Job Responsibilities

Provide support in preparing basic engineering documentation, such as Engineering Change Orders and test reports, under guidance.
Assist senior engineers in analyzing product designs, conducting basic calculations, and researching materials and manufacturing processes.
Assist with the assembly of prototypes, conduct basic tests, and document results under supervision.
Develop foundational understanding of industry standards and best practices in product design, materials, and manufacturing.
Develop an understanding of engineering principles and their application to product design and development.
Must be able to perform all essential job functions with/without accommodation.
Participate in cross-functional team meetings to gain exposure to product development processes.
Shadow experienced engineers to learn troubleshooting techniques for product issues.
Uses office automation, communication, software, and tools used in Haworth office environment.
Performs other duties within scope as assigned.

Required Qualifications

Bachelor's Degree in Engineering or related technical degree in relevant field of study
Education Equivalency: Associate's Degree plus 2 years related experience OR 4 years related experience if no post-secondary education
Work Experience: No professional experience required.
Military Equivalency at www.mynextmove.org/vets/find/military
Applicants must be able to work in Holland, MI without relocation assistance.
Applicants must possess an unrestricted right to work in the US to be eligible for this position.

Preferred Qualifications

Proficiency in CAD software (e.g., Creo) with the ability to model complex assemblies and components.
2 or more years of Product Engineering experience.
Strong understanding of materials and manufacturing processes, particularly in wood (laminate and veneer), sheet metal, aluminum extrusions, and steel.
Excellent written and verbal communication skills, with the ability to collaborate cross-functionally and communicate technical concepts to non-technical audiences.
Demonstrated ability to manage multiple priorities in a fast-paced environment, with strong problem-solving skills and comfort with ambiguity.
Experience working directly with dealers, customers, and suppliers to evaluate feasibility and deliver tailored product solutions.
Ability to work independently while knowing when to seek input or support from others.
Open to change and capable of balancing day-to-day business support with continuous improvement initiatives using Lean methodologies.
Bachelor’s degree in Mechanical Engineering, Engineering Technology.
Prior experience in commercial or contract furniture product development; understanding customizations.

Design your future with Haworth
Headquartered in Holland Michigan, Haworth is a family-owned global powerhouse at the forefront of innovation and sustainable design in the workspace interiors industry. Here, you'll have access to state-of-the-art resources, collaborate with cross-functional teams of passionate innovators, and experience a blend of global reach with personal growth opportunities. Whether you're developing new manufacturing processes, implementing smart factory solutions, or designing tomorrow's workspace solutions, you'll be empowered to make a lasting impact while growing your career.

We believe in the power of collaboration and strive to create a culture where everyone feels valued, respected, and empowered to make a difference. Your hard work, dedication, and talent are the foundation of our success and enable us to build meaningful connections with our customers and each other.

At Haworth, members enjoy benefits from their first day of employment:

20 Days Paid Time Off: Plus, the option to buy up to 5 extra days.
Health Benefits: Priority Health Medical options, Delta Dental, and Vision Insurance.
401k Match: Contribute 6% of your annual salary, and Haworth will match 7%.
Insurance Coverage: Company-provided Short-Term Disability, Long Term Disability, and Life Insurance.
On-Site Gym: Well-equipped gym, open 24/7.
Annual Bonus Programs
Tuition Reimbursement
Volunteer Time Off
Parental Leave
Pet Insurance
Zero Waste to Landfill

#Li-Hm1

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About Xai

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About The Role

You will design and implement evaluation pipelines that enable xAI’s models to self-improve through end-user interactions, building features and data flows that capture human feedback to drive continuous optimization of user value, engagement, and key metrics in consumer products reaching millions of users.

You’Ll Work With Us On:

Building RLHF tooling to gather and incorporate end-user preferences and feedback, enabling models to iteratively self-improve based on real-world usage
Developing data pipelines and AI evaluation frameworks to track model performance, safety, user satisfaction, and metrics like retention and engagement from an end-user lens
Work in product and work with our model training teams to optimize and productionize AI powered features.

You’Ll Flourish In This Role If You:

Have a strong grasp of scaling AI products from prototype to global deployment
Are skilled in developing robust AI evaluation methodologies, including benchmarks and metrics for alignment and user-centric improvement
Have hands-on experience with RLHF or similar preference-based learning systems
Thrive in ambiguous environments, iterating quickly based on feedback loops and data-driven insights
Are passionate about AI creating transformative and user-centric technologies
Consider yourself a high-agency builder who bridges research and product realities

Ideal Experience

Proven track record in RLHF implementation or AI alignment projects.
Experience building data pipelines for metric optimization and model self-improvement in fast-paced environments.
Familiarity with evaluation tools and frameworks (e.g., custom benchmarks, A/B testing for AI, user analytics).
Strong portfolio or contributions demonstrating evaluation work and feature development for user impact.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process:

Technical deep-dive: Discussing your evaluation and pipeline experience
A take-home challenge on building an AI eval or feedback prototype
Meet and greet with the wider team.

Our goal is to finish the main process within one week.

Annual Salary Range

$180,000 - $440,000 Usd

Benefits

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

xAI is an equal opportunity employer.

California Consumer Privacy Act (CCPA) Notice

","hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://x.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Applied AI","datePosted":"2025-09-19","description":"

About Mainstay

Are you ready to be a part of something groundbreaking? Mainstay is the leading market intelligence platform purpose-built for buying, managing, and selling homes in the single-family rental industry. We empower informed decision-making and unlock opportunities for owners, operators, and residents by aggregating and standardizing data from over 50 unique sources. Originally founded within Opendoor, Mainstay launched as an independent company in 2024, driven by our mission to simplify the complex and bring clarity and trust to the single-family rental ecosystem. Join us as we reshape the future of the industry!

About The Role

What you should expect as a full-stack senior software engineer - maximum agency, tight feedback loops with customers, and no shortage of product challenges that directly translate to business value! You’ll have the opportunity to design, build, and ship complex AI-powered workflow management systems and tools that enable our operations team to execute at scale.

We’re looking for someone who can both fine-tune and optimize models and ship reliable, production ready AI features end to end - from retrieval pipelines and guardrails to backend systems and user facing product experiences.

Our products are built with Python, Typescript, and React on AWS.

What You'Ll Do

In this role, you’ll be responsible for both shaping new AI-powered product experiences and ensuring they’re reliable at scale. That means fine-tuning and optimizing models for our domain, designing retrieval pipelines and guardrails, and building the backend systems that make these features production-ready. You’ll work closely with product managers, designers, and operators to bring AI features from idea to launch, balancing innovation with stability.

In This Role, You Will:

Contribute to all phases of product development, from ideation and prototyping to implementation and iteration
Build and evolve both frontend product experiences and backend services that power them
Fine-tuning existing models and optimize their performance for Mainstay use cases
Design reliable, scalable backend services to support AI-powered features in production
Leverage AI to modernize and automate legacy workflows in the real estate industry
Evaluate and benchmark LLM performance across latency, cost, accuracy, and hallucination rates
Tune prompts, chain-of-thought logic, and implement retrieval strategies such as RAG and vector stores
Monitor performance, safety, and cost of LLM-driven features in production environments
Define and build useful LLM-powered experiences in partnership with cross-functional teams
Mentor and support the growth of other engineers on the team
Collaborate closely with product managers, designers, and operators to identify and solve customer pain points

What We'Re Looking For

5+ years of experience building and delivering production-grade software, ideally in fast-paced, high-growth startup environment
At least 3 years of hands-on experience developing and deploying production-ready AI features (LLM applications, fine-tuning, RAG systems, guardrails, evals, etc.)
Strong full-stack engineering skills with a focus on backend scalability and system reliability
Experience fine-tuning and deploying LLMs
Deep understanding of LLM evaluation methods, including prompt testing, retrieval precision, hallucination detection, and cost/performance tradeoffs
Experience building custom eval pipelines using techniques like model-as-a-judge or embedding similarity
Hands-on work with agentic frameworks (e.g. LangGraph, AutoGen, CrewAI) or custom agent systems
Strong full-stack engineering skills with a focus on scalable systems and adaptability
Clear, concise communicator - essential for our remote, highly collaborative team
Proactive and ownership-driven - comfortable navigating ambiguity and shifting priorities
Customer-focused mindset with a drive to build solutions that solve real problems
Experience with AI/ML tools or APIs; bonus if you’ve worked with Python-based RAG, voice agents, or AI task automation

Bonus Points If

Experience working with retrieval-augmented generation (RAG) pipelines
Exposure to building or integrating voice agents
Familiarity with task automation powered by AI
Strong Python background with applied AI or ML workflows

#Li-Aw

Mainstay Built On Trust

At Mainstay, trust is at the core of everything we do. We build trust with everyone -- from candidates to employees to partners. We believe in fairness and openness throughout our hiring process, evaluating candidates based on qualifications without regard to race, color, religion, national origin, age, gender, marital status, disability, veteran status, sexual orientation, gender identity, or any other protected status. Our privacy practices describe how we handle applicant information, you can find the policy details for California residents here.

We are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at mainstay-recruiting@opendoor.com

","hiringOrganization":{"@type":"Organization","name":"Mainstay Labs Inc.","sameAs":"https://www.mainstay.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Product Engineer II - Data Reviewer","datePosted":"2025-09-19","description":"

Overview

The ArcGIS Data Reviewer extension is a specialized extension designed to enhance the quality and accuracy of spatial data within the ArcGIS platform. This role focuses on ensuring that spatial data meets the required standards for various customer needs. In this position, you will help deliver capabilities to focus on geospatial products that leverage the Esri platform to solve real-world challenges in areas such as transportation, resource management, media, and map production. You will work to identify and define customer requirements and build and release high quality software. In addition, you'll have the opportunity to author automated tests, monitor/resolve test results, and perform scripted tasks using Python.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business, technical, and product focused professionals who strive every day to help our users be successful.

Responsibilities

Work collaboratively with software developers to build well-designed, robust, high-quality software
Contribute to product design, testing, documentation, and demonstrations of new software capabilities
Be an advocate for users of the product and represent them in the product development process
Represent Esri by providing best practices, user documentation, and technical assistance for the product
Use your problem-solving skills to provide creative, logical, and practical solutions to yield meaningful product features
Work and deliver results within given constraints of time and resources in our agile software development lifecycle
Identify and troubleshoot the causes of product issues and limitations
Participate in assessing product quality and release readiness
Communicate with clients and stakeholders to identify product needs; partner with product management and software development teams to build impactful products that deliver true value to our users

Requirements

2+ years of professional experience in a similar position supporting similar responsibilities
Proven experience in software testing methodologies and practices
Experience using an application development language, such as C#, Java or Python
Strong analytical and problem-solving skills
Excellent written and verbal communication and presentation skills
Proven ability to work on teams of varying size and deliver work within time
Bachelor’s in Geographic Information Science (GIS), Computer Science, or STEM related field

Recommended Qualifications

Master’s in Geographic Information Science (GIS), Computer Science, or STEM related field
Experience using web GIS technologies such as JSON, REST, or JavaScript
Familiarity with ArcGIS Pro, ArcGIS Enterprise, and ArcGIS platform technologies
Experience with visual analysis or design software and/or APIs (CAD, GIS, design, data visualization)
Experience with product testing including functional, regression, framework design and/ or performance testing
Familiarity with the Agile software development life cycle
Knowledge of user experience design to contribute to the product design (UI/UX)
Knowledge of coded UI tests (CUIT)

#Li-Dr5

#Li-Hybrid

Total Rewards

Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

A reasonable estimate of the base salary range is$76,960—$128,544 USD

The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

","hiringOrganization":{"@type":"Organization","name":"Esri","sameAs":"https://www.esri.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redlands, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Product Engineer","datePosted":"2025-09-19","description":"

About Varda

Low Earth orbit is open for business. Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules.

From life-saving pharmaceuticals to more powerful fiber optics, there is a world of products used on Earth today that can only be manufactured in space. Varda is accelerating innovation in the orbital economy by creating both the products and infrastructure needed so space can directly benefit life on Earth. Our mission is to expand the economic bounds of humankind.

Our team is uniquely suited to accomplishing this goal, with leadership and staff comprised of veterans from SpaceX, Blue Origin, major pharmaceutical companies and Silicon Valley. Varda was founded in January 2021 by Will Bruey and Delian Asparouhov with significant backing from world class investors including Khosla Ventures, Lux Capital, Founders Fund, Caffeinated Capital, General Catalyst, and Also Capital.

Varda is headquartered in El Segundo, California, where we have offices and a production facility where our vehicles, equipment, and materials are built, integrated, and tested. Varda also has offices in Washington, DC and Huntsville, AL (coming soon).

Join Varda, and work to create a bustling in-space ecosystem.

About This Role

Our pharmaceutical team is looking for a highly motivated and creative Product Engineer who will lead efforts in improving therapeutics with microgravity. This is an opportunity in an exciting area of growth for Varda, where you will get to shape Varda’s product culture, and will play a significant role in establishing the low Earth orbit economy.

Responsibilities

Support new process equipment development through quantitative performance characterization and engineering risk assessments
Develop, organize, and communicate process performance specifications, and hardware requirements
Provide technical support and troubleshooting, including root cause determination to overcome equipment-related process challenges
Document, communicate, and present technical assessments
Collaborate closely with pharmaceutical and payload development group

Basic Qualifications

Either one of the following criteria:\n\n
Experience in building, maintaining, and troubleshooting laboratory equipment
Experience as the responsible engineer or technical owner of projects at various stages from initial concept to research & development
Strong project management skills and ability to effectively partner with multiple collaborators in various project stages
PhD degree in chemical engineering, materials science, engineering physics, applied physics, physics, or similar field
M.S. degree with 3+ years of experience in the biopharma industry

Preferred Skills And Experience

Experience in the biopharma industry
Hands-on experience with process equipment for crystallization of small molecules or biologics
Versed in analytical characterization
Experience with high-volume scale-up

Pay Range

Salary Range: $100,000.00 - $160,000.00/per year
This role is on-site in El Segundo, CA
Leveling and base salary is determined by job-related skills, education level, experience level, and job performance
You will be eligible for long-term incentives in the form of stock options and/or long-term cash awards

Itar Requirements

\n\n

\nVarda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U.S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U.S. Persons” as defined in U.S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U.S. persons” who are permitted to have access to our technology without an export license. \n“US person” means: U.S. citizen, U.S. lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3) (i.e., individual admitted to the U.S. as a refugee or granted asylum in the U.S.)\n Learn more about the ITAR here.

Benefits

\n\n

Exciting team of professionals at the top of their field working by your side
Equity in a fully funded space startup with potential for significant growth (interns excluded)
401(k) matching (interns excluded)
Unlimited PTO (interns excluded)
Health insurance, including Vision and Dental
Lunch and snacks provided on site every day. Dinners provided twice a week.
Maternity / Paternity leave (interns excluded)

\n\n

Varda Space Industries is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

\n\n\n

E-Verify Statement

Varda Space Industries, Inc. participates in the U.S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

\n\n

E-Verify Notice Right To Work Notice

Job Responsibilities

Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Required qualifications, capabilities, and skills

PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities , and skills:

Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

\n\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Staff Software Engineer, AI/ML GenAI, Cloud Applied AI","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
2 years of experience with state of the art Generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with Genwrative AI-related concepts (language modeling, computer vision).

Preferred Qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
6 years of experience in Applied Machine Learning, in teams directly responsible for business metrics on user-facing products.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a structured organization involving cross-functional or cross-business projects.
Experience in designing APIs for external customers.
Experience in modern full-stack application development, spanning frontend technologies (TypeScript, JavaScript, HTML/CSS, Angular, React) and backend services (e.g., Java, Kotlin).

Experience in designing APIs for external customers.Experience in designing APIs for external customers.Experience in designing APIs for external customers.Experience in designing APIs for external customers.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $197,000-$291,000 + 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

Drive the end-to-end technical strategy, architecture, and execution for complex, ambiguous projects on our conversational AI platform. Define the technical roadmap for scalable, long-term solutions.
Act as the lead engineering partner for Product Management and UX. Go beyond just understanding requirements to actively define product strategy, refine ambiguous customer needs into concrete technical designs, and drive consensus across teams.
Manage and iterate on new platform capabilities to meet immediate customer needs. Balance this speed with long-term technical health, advocating best practices to ensure solutions are clean, maintainable, scalable, testable, and easy to refactor.
Leverage user empathy to guide product direction, respond thoughtfully to customer feedback, and build intuitive, powerful, and seamless experiences for the developers who rely on our platform.

Your Day To Day Will Include:

Designing, developing, analyzing, deploying, and maintaining Generative AI solutions - including Agentic AI solutions, RAG pipelines, Vector databases and MCP servers
Monitoring and optimizing AI solutions to ensure accuracy, reliability, and scalability in real-world use cases
Staying ahead of emerging trends, frameworks, and technologies in the AI space to proactively bring innovation into our projects
Translating complex AI concepts into clear, actionable insights, and communicating effectively with stakeholders at different levels of technical expertise

What Makes You Thrive Here:

At least 5 years of coding experience
Degree in Computer Science or equivalent professional experience
Hands-on experience with AI technologies (LLM, RLM, VLM, RAG agents)
Hands-on experience with AI agent workflow frameworks (e.g., LangChain, LangGraph, NVIDIA NeMo Agent Toolkit)
Ability to design and implement MCP-based solutions, RAG pipelines, and agent/tool integrations
Techniques for hallucination mitigation, grounding, and safety
Experience leveraging no-code and low-code platforms (e.g., N8N) as well as SDKs to build robust AI systems
Proficiency in Python and/or JavaScript (building microservices, serverless functions, webhooks) for developing AI-powered applications, including integrations with LLMs, embeddings, vector databases, and knowledge graphs
At least intermediate English proficiency, as we collaborate in an international environment

Why Join Supercharge?

To unleash your full potential, we’re here to help you grow every step of the way with exciting international projects, access to inspiring conferences, in-house soft skill trainings, and online courses. We’ll even support your English classes, and with our skill matrix, you’ll always have a clear path to learn.
To feel your best, your wellbeing truly matters to us. That’s why we offer health coverage with Medicover, Life1 gym access to keep you moving, and extra sick days for those moments you just need a little rest. We celebrate milestones with a fully paid month off after five years, offer extra paternity leave for growing families, and provide support through our Employee Assistance Program.
To have a blast, you’ll join a friendly team of 200+ people, all passionate about building amazing digital products. Whether it’s our Summercharge festival, a football match, quiz night, or just grabbing a drink with teammates, there’s always something to look forward to. And with our buddy system, you’ll feel part of the team from day one.
To brighten your day, our dog-friendly office in the heart of Budapest is filled with good vibes, great coffee, tasty snacks (yes, including Túró Rudi!), and cozy corners to relax, connect, or have a little fun when you need a break. You’ll also have a yearly personal budget and a company library to keep your curiosity growing.

About our Budapest office
Budapest is where it all started for Supercharge - this is our headquarters and the beating heart of our company. We have local offices in several countries, but this is where the real magic happens. A buzzing, vibrant space filled with talented individuals dreaming up and delivering amazing products for our clients. This Office of the Year award-winning space is home to our legendary after-work events, and as located in the heart of the city, putting us just steps away from some of the best restaurants, cafes, and bars around.","hiringOrganization":{"@type":"Organization","name":"Supercharge","sameAs":"https://supercharge.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest, Hungary","addressCountry":"Hungary","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Associate Tailored Solutions Product Engineer","datePosted":"2025-09-19","description":"\n

We're looking for visionaries like you to help write the next chapter of our story.

Discover More Here!

We are currently looking for a Associate Product Engineer to join our team in Holland, MI.

Job Summary

Job Responsibilities

Provide support in preparing basic engineering documentation, such as Engineering Change Orders and test reports, under guidance.
Assist senior engineers in analyzing product designs, conducting basic calculations, and researching materials and manufacturing processes.
Assist with the assembly of prototypes, conduct basic tests, and document results under supervision.
Develop foundational understanding of industry standards and best practices in product design, materials, and manufacturing.
Develop an understanding of engineering principles and their application to product design and development.
Must be able to perform all essential job functions with/without accommodation.
Participate in cross-functional team meetings to gain exposure to product development processes.
Shadow experienced engineers to learn troubleshooting techniques for product issues.
Uses office automation, communication, software, and tools used in Haworth office environment.
Performs other duties within scope as assigned.

Required Qualifications

Bachelor's Degree in Engineering or related technical degree in relevant field of study
Education Equivalency: Associate's Degree plus 2 years related experience OR 4 years related experience if no post-secondary education
Work Experience: No professional experience required.
Military Equivalency at www.mynextmove.org/vets/find/military
Applicants must be able to work in Holland, MI without relocation assistance.
Applicants must possess an unrestricted right to work in the US to be eligible for this position.

Preferred Qualifications

Proficiency in CAD software (e.g., Creo) with the ability to model complex assemblies and components.
2 or more years of Product Engineering experience.
Strong understanding of materials and manufacturing processes, particularly in wood (laminate and veneer), sheet metal, aluminum extrusions, and steel.
Excellent written and verbal communication skills, with the ability to collaborate cross-functionally and communicate technical concepts to non-technical audiences.
Demonstrated ability to manage multiple priorities in a fast-paced environment, with strong problem-solving skills and comfort with ambiguity.
Experience working directly with dealers, customers, and suppliers to evaluate feasibility and deliver tailored product solutions.
Ability to work independently while knowing when to seek input or support from others.
Open to change and capable of balancing day-to-day business support with continuous improvement initiatives using Lean methodologies.
Bachelor’s degree in Mechanical Engineering, Engineering Technology.
Prior experience in commercial or contract furniture product development; understanding customizations.

At Haworth, members enjoy benefits from their first day of employment:

20 Days Paid Time Off: Plus, the option to buy up to 5 extra days.
Health Benefits: Priority Health Medical options, Delta Dental, and Vision Insurance.
401k Match: Contribute 6% of your annual salary, and Haworth will match 7%.
Insurance Coverage: Company-provided Short-Term Disability, Long Term Disability, and Life Insurance.
On-Site Gym: Well-equipped gym, open 24/7.
Annual Bonus Programs
Tuition Reimbursement
Volunteer Time Off
Parental Leave
Pet Insurance
Zero Waste to Landfill

#Li-Hm1

\n","hiringOrganization":{"@type":"Organization","name":"Haworth","sameAs":"https://www.haworth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Holland, MI, US, 49423","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Product Engineer","datePosted":"2025-09-19","description":"

What Is Hunch?

Hunch is an opinion based dating app that helps you land a date without swiping like a junkie. Designed for people tired of mindless swiping and commodified matchmaking, Hunch leverages a powerful AI-engine to help users find meaningful connections by focusing on personality over just looks.
With 2M+ downloads and a 4.4-star rating, Hunch is going viral in the US by challenging the swipe-left/right norm of traditional apps. Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world.

Link to our fundraising announcement

Key Offerings Of Hunch:

Swipe Less, Vibe More: Curated profiles, cutting the clutter of endless swiping.
Personality Matters: Opinion-based, belief-based, and thought-based compatibility rather than just focusing on looks.
Every Match, Verified: No bots, no catfishing—just real, trustworthy connections
Match Scores: Our AI shows compatibility percentages, helping users identify their “100% vibe match.”

We’re on the lookout for a Product Engineer to join our team. In this role, you’ll join a dynamic team that believes in pushing boundaries, challenging the status quo, and embracing diversity of thought. As we scale past 2M+ downloads, we’re building fast, building smart, and building with purpose—and we’re looking for someone who can lead that charge both technically and culturally.

What You’Ll Do

Own features end-to-end: From ideation to deployment, you’ll be responsible for solving product problems, not just writing code.
Build across the stack: Work comfortably on Backend (Node.js/Python) and Mobile (Flutter/Native).
Be outcome-driven: Your north star will be product outcomes (e.g., “improve sign-up conversion by 10%”) instead of just tasks.
Uphold engineering excellence: Write clean, tested, and maintainable code. Apply CI/CD, testing pyramid (unit, functional, integration), PR reviews, and DB migrations rigorously.
Collaborate deeply: Partner with Product, Design, and Data teams to brainstorm, experiment, and iterate quickly.
Balance speed & scalability: Ship fast but with an eye on long-term system health.

What You’Ll Bring

Experience: 3–5 years in software engineering, preferably in consumer-tech, social, or mobile-first products.
Full-stack comfort: Strong expertise in one core area (backend and mobile), with willingness to go end-to-end.
Ownership mindset: Prior Product Engineer/founder/founding engineer experience, or evidence of end-to-end product ownership.
Technical Stack: Proficiency in Node.js/Python for backend services and Flutter or Native for mobile development. Experience with API architecture, microservices, and cloud infrastructure (e.g., AWS or GCP).
Hands-on builder: Comfort in debugging, experimenting, and shipping directly to production.
Pragmatism + curiosity: Focus on solving problems, not just writing code.
Engineering hygiene: Familiarity with CI pipelines, automated testing, PR review processes, and release discipline.Bonus points if you have:
Experience in consumer social/dating apps.
Built AI-driven features.

\n\n\n\n

What We Offer

Competitive pay along with an annual performance-linked incentive (PLI)
Employee benefits like Medical Insurance
Participation in Employee Phantom Grants Program (Stock Options)

Life @Hunch

Work Culture: At Hunch we take our work seriously but don’t take ourselves too seriously. Everyone is encouraged to think as owners and not renters, and we prefer to let builders build, empowering people to pursue independent ideas.
Impact: Your work will shape the future of social engagement and connect people around the world.
Collaboration: Join a diverse team of creative minds and be part of a supportive community.
Growth: We invest in your development and provide opportunities for continuous learning.
Backed by Global Investors: Hunch is a Series A funded startup, backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios

Experienced Leadership: Hunch is founded by a trio of industry veterans - Ish Goel (CEO), Nitika Goel (CTO), and Kartic Rakhra (CMO) - serial entrepreneurs with the last exit from Nexus Mutual, a web3 consumer-tech startup.

","hiringOrganization":{"@type":"Organization","name":"Hunch","sameAs":"https://hunch.in/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Delhi","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Product Engineer","datePosted":"2025-09-19","description":"

We Are An Applied Ai Lab Building End-To-End Software Agents.

We’re the makers of Devin, the first AI software engineer.

Now is the most interesting time to join Cognition — we’re seeing record growth and demand, the code generation industry is developing at lighting speed and we’re doing this with one of the smallest teams thanks to Devin.

We are small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

If you’re excited to solve some of the world’s most challenging problems and build AI that can reason on real-world tasks, join us.

About The Role

We’re looking for experienced end-to-end engineers who thrive at fast-moving startups, and are excited to push the boundaries of how developers will interact and work with coding agents.

You’ll work closely with other engineers on the team, the product and go-to-market teams at Cognition, and our design partners.

In This Role, You Will:

Ship product and talk to users!
Punch through technical walls
Build performant and beautiful experiences that developers love
Set the standard for UX of agent products

Requirements For The Role:

A record of exceptional achievements and impact
Willingness to work hard, move fast and grow quickly in a rapidly changing environment
An exceptional ability to learn
Experience with Python, Typescript, & React in complex products

","hiringOrganization":{"@type":"Organization","name":"Cognition","sameAs":"https://cognition.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Product Engineer","datePosted":"2025-09-19","description":"

Company Description

The IKEA brand is one of the most successful home furnishing brands in the world. We are a value-driven company with a passion for life at home. Our vision is to create a better everyday life for the many people.
\n
\nYou see things a little differently. So do we. We believe that your values are more important than what your CV says. We offer positions that will challenge your skills and let you grow. Come see things a little differently with us.

About you
\nWe are looking for people with passion to Lead the engineering and quality agenda with the overall goal to improve the customer satisfaction. If you want to be the main contact towards the suppliers and work as part of the business team together with the supplier to develop and secure the production process, handling quality deviations and secure compliance with all IKEA requirements. Experience in developing faucet products is required.

About the job
\nIn IKEA Purchasing, we are organized in categories based on the material and function of the product. A Category is a group of articles sharing the same materials, production techniques, and/or supplier base. Each category is led by a Category Manager, and it consists of number of Business Development teams based around the world (being close to our suppliers) and global functional specialists (e.g., Engineering and Quality Leader). The assignment for the category is to lead Purchasing based on a common agenda created in one common business plan. To take full advantage of IKEA economies of scale and competence we develop and execute sourcing strategies and thus meet the supply markets/industries in categories.

Job Description

Lead and involve the right resources in Purchasing to secure the product development (NEWS and MOVES) projects are delivered on time, with quality and with full compliance.
Lead product development at the factory floor from a technical point of view and secure scalability for further implementation at other suppliers
Define together with HFB's the evaluation & test requirements the supplier has to fulfil during the development stage, follow up that requirements are fulfilled before production start and secure the product is at correct quality level according to IKEA Documentation (incl packaging, tests and comply with relevant standards, demands and guidelines)
Participate in Contract Review and lead implementation of product documentation connected to new articles as well as product improves at suppliers
In cooperation with supplier and Product Compliance specialist, secure and verify that all IKEA requirement documents are correct, complete and available in the IT system at first delivery
Contribute to the development projects and design/product risk analysis (FMEA) from a technical perspective (create phase in DPOP), with competence in construction, material, production, quality and customer expectations.
Actively identify, put forward and lead/execute Product Improvements with priority to satisfy customers, as well to utilize material and energy in an efficient way
Conduct Production Risk Assessments for new products together with supplier and production engineer
Together with supplier organize and secure product is started right from the beginning and according to working methods in purchasing manual
Register product, arrange for Gate check before First Delivery, secure 1st batch production and first delivery inspection are completed and approved before hand over to Production Engineer (PNE)

Qualifications

Knowlege

Very good understanding of Democratic design and customer needs and expectations regarding function, customer friendliness and products critical to quality (CTQ)
Very good understanding of Democratic Design and customer needs and expectations regarding function, customer friendliness.
Very good knowledge about DPOP and WoW in the HFB's
Very good knowledge of the product requirements, standards and test methods to verify requirements of products
Good knowledge of materials' properties and construction and its impact on cost and sustainability  Good knowledge of production processes and technologies
Good knowledge in Solid works, PDOC and IKEA specifications
Understanding of IKEA Strategic Landscape, especially IKEA Purchasing Strategy, IKEA Business model and IKEA Business Model for growth and key processes (e.g. PDP, SDP, DPOP) and IKEA Purchasing Manual
Understanding of relevant Category Plans and Total Cost

Motivation

Strong motivation to work in team, lead through engaging and coaching people
Result oriented, high energy and self-driven way of working to deliver better products by involvement of right stakeholders at IKEA & Suppliers.
Sense of urgency and a never compromise attitude towards quality
Eager to actively search for information and continuously learn from good examples and mistakes and share experiences
Interest and drive to build trust and partnership to reach common goals

Capability

Capability of project leadership and its key element as scope, time, plan, stake holder and change management
Capability to work and align cross business teams, optimize, anchor and deliver products impacting many suppliers and regions
Process oriented with good analytical and structured approach
Capability to act in reality and follow up to secure proper and consistent implementation.
Ability to make decisions and solve problems with a holistic view; always act with the customer, supplier and total IKEA in mind
Good communication skills in English both written and verbal

Key previous experience s and proven skills

Experience in product development and implementation of product specifications in production environment. Experience of relevant production technologies and materials and working with Production & Product Risk Assessment (FMEA). Understanding of customers' needs and expectations towards the key and secondary functions of different products (e.g. safety, durability, ergonomics etc.). Has a good balance between overall/holistic view and details. Ability to understand standards and share and live IKEA values
External candidate
- Experienced in product development and industrialization of products.
- Knowledge about Total Quality Management
- University degree in electronic major
- Good knowledge about continuous improvement
- Project leadership experience
- Ability to work with and through others
- Experience to work in a process-oriented environment
- Knowledge about Solid Works, Product construction, testing and documentation
Internal candidate
- Track record of delivering excellent results in previous position
- Understanding of IKEA business model and total cost approach in IKEA
- Knowledge of IKEA value chain
- Knowledge of IKEA relevant processes (e.g. DPOP, SDP, PDP)
- Experience in leadership and cooperating in teams
- experience of leading projects
- Good understanding of purchasing teams and suppliers daily operational activities
- Experience from IOS product development or Product Requirement and compliance PR&C

Additional Information

This position will be based in Shenzhen. The selection process will take place continuously, so please send in your application in English as soon as possible.
Please note that we don’t accept application through email. All applications must be submitted through the Smart Recruiters system.

","hiringOrganization":{"@type":"Organization","name":"Inter IKEA Group","sameAs":"https://www.ikea.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shenzhen, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Product Engineer - Aeration","datePosted":"2025-09-19","description":"

Position Title: Product Engineer - Aeration
Compensation Range: $99,000 - $121,000 Based on Experience
Department: Global Product Management
Location: Naperville, IL

About Agi

AGI is a global food-based infrastructure company publicly traded in Canada. With over 3,800 employees and over 30 global manufacturing brands, AGI is a leading provider of equipment and technology solutions for agricultural commodities including seed, fertilizer, grain and feed systems and an expanding platform for food processing facilities.

The Opportunity

We are actively seeking a Product Engineer - Aeration to join our Team at AGI. In this role, you will be responsible for the product development, improvement, and maintenance of our aeration product line. Reporting to the leader for Grain Conditioning products, you will work within a small group of engineer technologists to support the requirements of the customer and manufacturing.

\n\n

Responsibilities:

Actively collaborate with the Global Product Management Team, Global Engineering Team and Regional Sales Team and participate in the development of the product strategy and road map
Responsible for product development projects and product engineering maintenance
Responsible for integrity, reliability, competitiveness of the product family, as measured by product cost, features & benefits, and market needs within the competitive landscape
Responsible for engineering development of product variants to meet the appropriate platform (seed, fertilizer, grain, feed and food) and regional market requirements
Develop application tools for chain conveyor design and quoting
Provide leadership to product engineers and designers
Develop technical and design strategy as it relates to the application of grain aeration systems
Manage required certification files (CSA) and understand compliance to applicable codes (Canadian Electrical Code, Gas Appliance standards)
Lead innovation, research and development of future products and product improvements
Develop and implement innovative ways to improve quality, reduce cost, or improve functionality and manufacturability of products.
Assume project management responsibilities for assigned projects
Work within current parametric design software (SolidWorks) and ERP system, ensure drafting standards are adhered to.
Ensure integrity of drawings, documents, and product specifications
Manage engineering change process as it relates to the department and the plant as a whole.

Qualifications:

Bachelor of Science in Mechanical Engineering
5 or more years of related experience is required. Exposure to the agricultural industry is an asset
Excellent understanding of parametric CAD systems (plant uses SolidWorks)
Understanding of ANSI/ASME drafting standards is required
Working knowledge of ERP system and materials specifications
Experience with AutoCAD and 3D modeling (SolidWorks and/or Inventor preferred)
Exposure to various CAE methods (FEA, CFD, MBD, etc.)

\n\n

Why Agi?

We’re leading the way in global food supply chain solutions and here’s how:
We’re the leading global expert in providing farmers, processors and commercial customers with the right equipment and customized engineering solutions to produce, protect and deliver the world’s grain, fertilizer, seed, feed and food supplies. Dedicated to safety, innovation and customization, AGI offers one of the largest catalogs of equipment and full-service planning and engineering services for the storage, blending, mixing, conveying, conditioning, and processing of agricultural products worldwide. Supported by an extensive in-country sales and service team, AGI provides a global distribution network and state-of-the-art manufacturing facilities in Canada, the United States, Brazil, India, France, and Italy.

\n\n

Our Culture

Safety and teamwork are the cornerstones of our global culture. In all aspects of our business, diverse and inclusive teams work together to deliver quality products, solutions, and services for our customers around the world.

Benefits Offered:

Annual bonus plan
Paid Time Off
Medical
Dental
Vision
Life and AD&D
Short Term Disability
Long Term Disability
Voluntary Life
Employee Assistance Program
Spending Accounts
401k with match
Employee Stock Purchase Plan with match

\n\n

With AGI, you’re choosing an employer dedicated to strengthening and securing the global food supply chain.

\n\n\n

AGI is an equal opportunity employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.

Accommodations are available upon request for candidates with a disability taking part in the recruitment process and once hired.

\n","hiringOrganization":{"@type":"Organization","name":"AGI","sameAs":"https://www.aggrowth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Naperville, Illinois, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Product Engineer","datePosted":"2025-09-19","description":"At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, manufacturing, and supply chain solutions. With over 50 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

JOB SUMMARY

Under general supervision, creates and maintains assembly instructions for the manufacturing operation. Responsible for inputting Bill of Materials (BOM) per the New Product Introduction (NPI) process, obtaining material pricing for the purchasing department and verifying completion of documentation packages.

ESSENTIAL DUTIES AND RESPONSIBILITIES

·         Prepares and maintains data storage on the Jabil computer network and master files per ISO standards.
·         Prepares and implements Engineering Change Orders (ECO’s) for manufacturing assembly instructions
·         Interprets customer documentation, drawings and blueprints for defining manufacturing process flow
·         Works with the process area and engineering to define process flow
·         Order stencils as needed, per stencil procedure
·         Updates SAP routing and production status
·         May assist in publishing weekly and monthly reports of department performance in accordance to established standards
·         May be required to work overtime
·         Performs other duties as assigned
·         Coordinates the ECO activities for the business unit and work with other appropriate personnel to resolve problems that result from ECO activity.
·         Assists in the timely completion of ECOs through documentation, validation/approval and basic input of materials and drawing information into the SAP system.
·         Verifies ECO documentation packages for completeness and accuracy and follow up on completed ECOs to ensure continued accuracy.
·         Communicates ECO impact with appropriate personnel including engineering,    materials and production personnel. May also interact with customer and/or supplier personnel when appropriate.
·         Verifies system to ensure requote pricing entered in the system is accurate.
·         Participates in special projects including SAP and other systems projects.
·         Assists in transacting excess and obsolete inventory.
·         Responsible for maintaining bills of material in SAP.
·         Maintains appropriate additional documentation for process metrics.
·         May update and maintain DOC program with current documentation.
·         Trains lower level personnel in ECO processing and execution.
·         May perform other duties and responsibilities as assigned.

Job Qualificationsknowledge Requirements

.         GMP/ ISO knowledge preferred
.         Knowledge of product and process design and development, materials, standardization science and applied statistics
.         Knowledge of project management and cost analysis preferred
.         Knowledge of word processing, spreadsheet analysis, data management, projects management, presentation graphics, engineering analysis and statistical software
.         Knowledge of information systems including but not limited to Enterprise Resource
.         Planning (ERP), Quality Systems & Documentation Control Systems
·         Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
·         Ability to define problems, collect data, establish facts, and draw valid conclusions
·         Ability to operate a personal computer including using a Windows based operating system and related software.
·         Advanced PC skills, including training and knowledge of Jabil’s software packages.
·         Ability to write simple correspondence. Read and understand visual aid.
·         Ability to apply common sense understanding to carry out simple one- or two-step instructions.
·         Ability to deal with standardized situations with only occasional or no variables.
·         Ability to read and comprehend simple instructions, short correspondence, and memos.
·         Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
·         Ability to compute rate, ratio, and percent and to draw and interpret graphs.

EDUCATION & EXPERIENCE REQUIREMENTS
. B.S. Engineering degree or M.S. Engineering degree
. Three to five years’ experience in a manufacturing environment and/ or medical device industry preferred
. Advance technical training in area(s) of expertise preferred
. Generally requires 5 years related experience

BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in.

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.#whereyoubelong","hiringOrganization":{"@type":"Organization","name":"Jabil","sameAs":"https://www.jabil.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"SGP - Singapore - Tampines","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"CI/CS Product Engineer","datePosted":"2025-09-19","description":"

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

We are seeking an experienced Senior CICS product engineer who is specialized in managing and maintaining IBM’s CICS software. The ideal candidate will be responsible for full CICS lifecycle, including installation, configuration, maintenance. Lead the design, implementation, and maintenance of CICS MF infrastructure to ensure optimal performance, reliability, and availability.
As a Product Engineer for CICS, you will work closely with the development, operations, and infrastructure teams to provide high-level technical expertise on CICS application lifecycle management. You will contribute to the overall strategic direction of the CICS systems in alignment with business objectives.Job Description

Key Responsibilities:

Install, configure, and manage CICS systems on IBM mainframe environments.
Setting up and administration of CICSPlex environments.
Lead the design, implementation, and maintenance of CICS applications and environments to ensure optimal performance, reliability, and availability.
Work with teams to troubleshoot, diagnose, and resolve complex CICS-related issues, ensuring minimal system downtime.
Perform capacity planning, system tuning, and performance optimization for CICS systems.
Oversee CICS system migrations, upgrades, and patches while ensuring minimal disruption to business operations.
Develop and enforce best practices, guidelines, and standards for CICS application development, deployment, and maintenance.
Collaborate with stakeholders to define requirements, propose solutions, and manage change requests related to CICS applications.
Ensure the integration of CICS systems with other mainframe and distributed environments.
Automate routine tasks and processes to improve efficiency and reduce manual interventions.
Maintain documentation for CICS systems and processes, ensuring that all changes are accurately recorded and auditable.
Assist in disaster recovery and business continuity planning for CICS environments.

Qualifications:

12+ years of hands-on experience in CICS lifecycle management, including installation, configuration, and optimization.
Strong knowledge of CICS transaction processing, performance tuning, debugging, and problem resolution.
Expertise in CICS-related tools (e.g., CICS Explorer, CICS Performance Analyzer, CICS related ISV products, etc.) and integration with other mainframe systems.
In-depth understanding of CICS security management and compliance protocols.
Familiarity with CICS interfaces, including MQ, zOS Connect, and external systems integration.
Extensive experience with CICS upgrade and patch management processes.
Strong troubleshooting and problem-solving skills with the ability to resolve complex CICS issues.
Knowledge of disaster recovery processes and techniques related to CICS systems.
Excellent communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Skills:

Knowledge of JCL, REXX, Basic COBOL, SQL and other mainframe scripting languages.

Primary Skills

Automation Solutions, IBM CICS, Incident Management, Infrastructure Design, Mainframe Operating System, Root Cause Analysis (RCA), Security Monitoring

Shift Time

Shift B (India)

Recruiter Info

Hiral Parag Rughanihparb@allstate.com

About Allstate

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.

Learn more about Allstate India here.

","hiringOrganization":{"@type":"Organization","name":"Allstate","sameAs":"https://www.allstate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ind – Blr Sez 1 (3Rd, 6Th & 7Th Floor), India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Snr Product Engineer (Pkg PE MFG), Heterogeneous Integration Group(HIG), High Bandwidth Memory (HBM) Product Engineering","datePosted":"2025-09-19","description":"

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As the member of HIG HBM Package Product Engineering, you will lead and develop a high-performing team to driving Package and HBM Product engineering activities within the HBM Systems and Product Engineering Team. You will be part of a Global team of professional Product Engineers leading a portfolio of Best-In-Class Next Generation HBM Product focused on the critical KPI’s Quality, Cost, Cycle Time and Scale. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization.

Key Responsibilities

ASM Yield and DPM Improvement: Accountable for improving assembly related coverage within the manufacturing flows to improve the Time 0 and Field DPM and reduce/prevent inline fallout within the assembly process.
HBM Cube Yield Improvement: Improving HBM Cube yield through test optimization and coverages by collaboration with Technology Development and Packaging organizations to reduce Manufacturing Line Yield.
Cumulative Yield Ownership: Work with cross-functional teams, to lead impactful initiatives that significantly enhance overall cumulative yield and quality improvement, driving substantial benefits for the organization.
Root Cause and Resolution of Qual and RMA Packaging Issues: Debug and identify root cause and failures in by electric failure analysis(EFA) and Physical Failure Analysis (PFA) and drive for resolution and improvements through cross functional team collaboration.
Backend Process Conversions and HVM: Work with FAB, Technology Development, Advanced Packaging TD, Package Development Teams to establish a robust Process Conversion Business Process to facilitate Yield Improvement, DPM Improvement and overall performance of HBM Products. Provide recommendation to PDE teams for new process conversions to reduce cost, increase yields. This is critical as it directly impacts the yield, quality, reliability, and performance of HBM products, which are key components in many modern technologies.
Mentorship and Development: Actively mentor and develop team members to foster growth and development within the team and the organization.
Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
Project Management: Developing project management skills within the team ensures efficient execution of projects, leading to timely delivery of technological solutions.
Technical Decision Making: The role involves making final decisions on risk analysis and project prioritization. These decisions directly impact the direction of technological development.
AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.

Requirements

Bachelors/Masters of Electrical/Electronic/Mechanical Engineering Degree.
Demonstrating Competent Technical Skills , especially in problem solving with root cause understanding and solution space through in depth circuit analysis.
Good knowledge of statistics and data analysis tools and scripting.
Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).
Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.
Strong sense of responsibility and accountability towards assigned role with professional work ethic.
Excellent communication and presentation skills.
Passionate about people leadership, with a drive toward ongoing learning and development in this area.
Work on site in Singapore with international travel to Taiwan, US, Japan.
About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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Roles Summary:

Develop and optimize test solutions to ensure product functionality, reliability, and compliance with specifications during mass production.
Lead product ramp-up and yield improvement initiatives by analyzing test data, identifying root causes, and implementing corrective actions.
Collaborate with cross-functional teams to resolve production and test-related issues, support engineering changes, and drive continuous improvement.

Job Responsibility:

Develop and implement test strategies for new and existing products to ensure functionality, reliability, and compliance with specifications.
Drive yield improvement and failure analysis by collecting and analyzing test data, identifying root causes, and implementing corrective actions.
Support new product introduction (NPI) by coordinating with NPI, process, and quality teams to ensure smooth transition from prototype to mass production.
Optimize manufacturing processes through continuous improvement initiatives focused on cost reduction, cycle time, hold rate and quality enhancement.
Collaborate with cross-functional teams including design, quality, and supply chain to resolve production and test-related issues.

Job Qualification:

Bachelor’s degree or higher in Electrical Engineering, Electronics, Mechatronics, or a related field, or equivalent practical experience.
1-2 years of experience in manufacturing, product engineering, or test engineering within electronics, semiconductors, or related industries (New graduate is welcome).
Knowing in test development and validation, including hands-on experience with automated test equipment (ATE), test scripting, and debugging.
Understanding of manufacturing processes, yield analysis, and quality control methodologies (e.g., SPC, FMEA, 8D).
Background in new product introduction (NPI) and product lifecycle management from prototype to mass production.
Be able on data analysis tools such as EY, O+, Minitab or Excel for test data interpretation and decision-making.
Knowing in an electronics device and electronics circuit, hardware design, programing language and equipment tooling (Oscilloscope, Multimeter etc)
Good communication in English (Listening, Speaking and Writing)

More information about NXP in Thailand...

#LI-9599","hiringOrganization":{"@type":"Organization","name":"NXP Semiconductors","sameAs":"https://www.nxp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangkok, Thailand","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-09-18","description":"

About Us:

At Parafin, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.

We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.

Join us in creating a future where every small business has the financial tools they need.

About The Position:

With the advent of LLMs, those without a tenured background in ML have been able to use the technology to drive impactful business outcomes in a rapid manner. We’re looking for a highly motivated early career Applied AI Engineer to help do just this: focus on leveraging industry-leading models to ideate and execute initiatives across our financial infrastructure, underwriting, risk modeling, merchant platforms, and partner integrations.

What You’Ll Do

Build end-to-end GenAI-based systems from the ground up in a lean, fast-paced team, working across the entire stack from data collection and experimentation to integration and reliability.
Shape the direction of our applied GenAI areas of investment by engaging with engineering and product teams across the company.
Architect and implement robust & scalable infrastructure, from supporting platform-level monitoring and auditing systems to safely integrating agents into production environments.
Collaborate with cross-functional teams to deliver seamless product integrations and enhance the merchant experience.
Work with industry-leading GenAI libraries, frameworks, and platforms to drive successful business outcomes.

What We Look For

1-4 years of experience - an early career candidate with high motivation to own entire agentic projects
Familiarity with basic LLM principles
Bias towards first-principles thinking and strong engineering fundamentals
Proficiency in backend development, ideally with Python, Go, or similar languages
Passion for building impactful financial products that empower small businesses
Excellent communication and collaboration skills, especially in cross-functional settings

Bonus Points

Experience with GenAI in a production setting
Experience with fintech, risk, or underwriting systems
A history of owning and delivering projects entirely end-to-end

What We Offer

Equity Grant
Commuter Benefits
Free Lunches
Paid Parental Leave
401(K)
Employee Assistance Program
Salary Range: $175k - $220k
Medical, dental & vision insurance
Unlimited PTO & work from home flexibility

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

","hiringOrganization":{"@type":"Organization","name":"Parafin","sameAs":"https://www.parafin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Product Engineer II - Generative AI & Assistants, ArcGIS Pro","datePosted":"2025-09-18","description":"

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We’re on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you’ll have a unique opportunity to bring your expertise in AI and machine learning to the world’s leading GIS software.

Through curiosity and investigative research, you’ll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You’ll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you’ll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

Work with users and industry experts to identify primary use-cases and workflows
Contribute to the design and usability of ArcGIS Pro AI Copilot
Develop and implement test cases and validate bug fixes
Contribute to the maintenance, monitoring, and growth of the automated test suite
Troubleshoot production issues in current and past software versions
Work with feature teams to infuse Copilot capabilities across the ArcGIS Platform
Research and stay up to date with latest advances in AI and application development frameworks
Share and distribute your workflows and projects in samples, tutorials, blog articles, videos, and help documentation

Requirements

2+ years of experience using an application development language (Python, C#)
Knowledge of AI and Machine Learning concepts
Experience in building training datasets and fine-tuning/training AI models (NLP or vision)
Ability to work well in a highly collaborative environment
Knowledge of software development processes
Strong analytical problem-solving abilities
Excellent written and verbal communication skills
Bachelor’s in GIS, computer science, computer engineering, or a related field

Recommended Qualifications

Experience with natural language processing and generative models
Experience in building AI applications using frameworks such as Semantic Kernel or LangChain
Familiarity with Esri ArcGIS platform technologies
Experience with cloud services like AWS, Google Cloud, or Azure
Knowledge of UI/UX design techniques
Master’s in GIS, computer science, computer engineering, or a related field

#Li-Rc2

#Li-Hybrid

Total Rewards

A reasonable estimate of the base salary range is$76,960—$128,544 USD

The Company

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

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We are seeking an Applied AI ML, Senior Associate to join our CDAO AI-ML Platform Engineering Team at the Jersey City, NJ or Delaware Technology Center in Wilmington, DE. This role offers a unique opportunity to shape the future of AI and machine learning at JPMorgan Chase. You will be at the forefront of developing innovative AI solutions that drive business value and operational excellence.

As an Applied AI ML, SeniorAssociate within the CDAO AI-ML Platform Engineering Team, you will be a vital member of an agile team, responsible for designing, implementing, and maintaining machine learning models using Generative AI Foundational models and MLOps pipelines. You will collaborate with data scientists and software engineers to ensure the successful development and monitoring of AI solutions that could be used on the enterprise AI ML Platform.

Job Responsibilities

Design, develop, and deploy robust machine learning models and MLOps pipelines to support various business applications.
Collaborate with cross-functional teams to identify, prioritize, and implement machine learning solutions that align with business goals.
Ensure the operational stability and scalability of machine learning applications through effective monitoring, logging, and alerting practices.
Develop and maintain documentation for model development, deployment processes, and operational procedures.
Identify opportunities for automation and optimization in the ML lifecycle to enhance efficiency and reduce time to market.
Foster a culture of innovation, diversity, and inclusion within the team by sharing knowledge and best practices.

Required Qualifications, Capabilities, and Skills

Formal training or certification in machine learning, data science, or related fields with 3+ years of applied experience.
Proficient in programming languages such as Python, with hands-on experience in machine learning libraries.
Strong understanding of MLOps practices, including model deployment, monitoring, and lifecycle management.
Experience with cloud services, particularly AWS, including but not limited to Bedrock, SageMaker, Lambda, S3, SQL, SNS and EC2.
Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Knowledge of CI/CD practices and tools (e.g., Jenkins, GitLab CI) for automating the ML workflow.
Experience with data pipelines and ETL processes, utilizing tools like Apache Airflow or similar.
Experience with hands on engineering

Preferred Qualifications, Capabilities, and Skills

AWS Certifications (e.g., AWS Certified Machine Learning - Specialty).
Experience with infrastructure as code (IaC) tools such as Terraform.
Strong problem-solving skills and the ability to think creatively to tackle complex challenges.

#Li-Rb3

\n\n

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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Looking to race into your next role? Strap in, we're looking for a Senior Digital Product Engineer to join our unique mission!

About Formula E:

Formula E, the world's fastest-growing sport, is redefining motorsport with a bold focus on innovation and sustainability.

Hosting over 100 races in iconic cities globally and backed by top manufacturers like Porsche, and Jaguar, we feature elite drivers and cutting-edge EV technology. As the world's first sport certified Net Zero Carbon from inception, Formula E combines thrilling entertainment with a mission to advance sustainable progress, inspiring a global fanbase with our high-performance brand new GEN3 EVO race car capable of 0-60mph in 1.82 seconds (0-100kph in 1.86s).

Using the spectacle of sport, we are sending a powerful and meaningful message to help alter perceptions and speed-up the switch to electric mobility.

Welcome to the home of Global Electric Street Racing.

The Role:

We're looking for a Senior Digital Product Engineer to oversee the technical delivery of Formula E's digital platforms, including the website and mobile apps. This role is the key link between the technology and marketing teams, owning the technical execution and delivery to ensure our platforms are high-performing, scalable, and technically sound. The key deliverables are:

Technical Platform Management: Responsible for the technical management, development, and integrity of Formula E's website and mobile apps. This involves overseeing the end-to-end technical infrastructure, including the Content Management System (CMS), databases, and cloud services, to ensure the platforms are robust, reliable, and provide a seamless user experience.
Stakeholder and Supplier Management: Serve as the main technical point of contact for external development agencies and vendors. You'll manage these relationships, overseeing project timelines and deliverables to ensure all third-party contributions meet our technical standards and strategic goals.
Integrations and Optimisation: Oversee the integration of third-party systems and APIs for seamless data flow. You will also work with marketing to implement technical SEO best practices and manage the infrastructure for localised content and AI-powered search.

What we're looking for in you:

Strategic Digital Optimisation: The ideal candidate has knowledge of technical SEO principles, including geo-targeting and localised content. Experience in optimising platforms for AI-driven search is also important for increasing digital visibility.
Vendor and Project Management: You must be able to manage relationships with external development agencies and vendors. This includes overseeing project timelines and deliverables to ensure they align with technical standards and strategic goals.
Technical Acumen: This role requires a strong understanding of web and mobile technologies, including HTML, CSS, JavaScript, and APIs. Experience with Content Management Systems (CMS) and managing back-end systems is also essential.

What's in it for you?

At Formula E, we offer a range of benefits and perks to enable you to make an impact in your role and to support your wellbeing and professional growth. Check out our benefits found here!

This is a hybrid role and you'll be required to do 3 days a week in our Hammersmith London office

Application Process

Think you’ve got what it takes to join our race to the future?

The closing date for this role is 2nd October 2025, however if we receive a high volume of applications we may close it early.

At Formula E, we are building a culture where every voice matters, every perspective accelerates progress, and every individual is empowered to rise, contribute boldly, and shape a better world - together. We will provide equal opportunities regardless of an individuals' protected characteristics. We believe in attracting and retaining diverse talent to strengthen our global vision with a variety of experiences, backgrounds and perspectives.

Our mission is\nclear. The message is simple. Whoever you are. However you live. Whatever you\nbelieve. Formula E. For the Future. For Everyone.

We’ll see you at the starting line!

¡Vamos!

If you require further assistance in accessing the application or require a different format of the application, please contact recruitment@fiaformulae.com

If this role isn’t quite for you but you want to join Formula E, why not ‘Connect’ with us here to be the first to know of new opportunities!

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About the Role
We’re looking for an Product Engineer Intern to join our newly formed R&D squad. This team is focused on exploration, rapid prototyping, and experimentation. You’ll work on high-impact, exploratory projects—from building intelligent SaaS detection mechanisms to developing AI-powered insights and crafting new user experiences (AI agent in the browser for example)
This is a high-autonomy role where you’ll work on end-to-end prototypes, validate their feasibility, and collaborate with our core engineering and product teams to bring the most promising ideas into production.You’ll contribute widely to the time to market acceleration of impactful features
\n

Missions

Technical Challenges You’ll Tackle

- Prototype and validate new ideas

AI, NLP, and automation

-Explore new interaction paradigms

-Extract insights from massive datasets

-Balance speed & quality

What You’ll Own

-End-to-end prototyping

-Exploration roadmap

-Technical decision-making

-Cross-team collaboration

Our Engineering Culture

Tech Stack

Node.js

Nest.js

Experience

You’ll Be a Great Fit If:

uncertain, exploratory environments

solving open-ended problems

fast learner

rapid prototyping

data, AI, software eng. and tech in its globality

Benefits

What We Offer:
Duration: 6 months internship from January 2026
Compensation: 1300€ to 1500€ per month
Mentorship: Direct guidance from experienced developers
Real Impact: Work on actual product features and contribute to the company's growth
Benefits: Swile
Interview Process

\n\n","hiringOrganization":{"@type":"Organization","name":"Beamy","sameAs":"https://www.beamy.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Staff Product Engineer","datePosted":"2025-09-18","description":"

Company Description

Renesas is a global semiconductor company providing hardware and software solutions for a range of cutting-edge technologies including self-driving cars, robots, automated factory equipment, and smart home applications. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.

Renesas is a global, multi-billion dollar, publicly traded company headquartered in Japan, and has subsidiaries in 20 countries worldwide. Renesas is a dynamic, multi-cultural technology company where employees learn, mentor, innovate and thrive. Renesas is extending our share in fast-growing data economy-related markets such as infrastructure and data center and strengthening our presence in the industrial/IOT and automotive segments. Our solutions drive products developed by major innovators around the world. Join us and build your future by being part of what’s next in electronics.

Job Description

Full PE product lifecycle ownership from concept to end of life with a focus on ensuring the delivery of the highest quality products to our end customers

Definition of ATE test, qualification and manufacturing plans
Product release into manufacturing with adherence to stringent tier 1-customer requirements
Datasheet and automotive compliance reports
Real time customer support for design, product and quality related issues
Temperature/Voltage/Process characterization and production limit setting
Product new product introduction and yield ownership
Product BOM release and maintenance
Excursion management for both suppliers and customers
Use commercially available yield tools for yield improvement and monitoring, generate weekly reports and review with PE teams
KPI achievement in product related deliverables including NPI execution and velocity, product cost (Gross margin improvements), product quality performance and failure analysis cycle times
PAT, SYL, SBL, SPC limit and disposition optimizations to protect quality without excessive waste

Requirements:

7+ years experience in product engineering. A strong analog circuit background is a must. Familiarity with power management IC testing would be a plus
Familiarity with ATE tester platforms (eg. Teradyne J750, Advantest 93K)
Knowledge of analog and mix-signal circuitry and the common building blocks, device physics, test methodology and DFT knowledge
Experience with common lab test equipment (DC power supply, oscilloscope, multi-meters etc). Bench characterization experience is a plus
Familiarity with JEDEC/AEC qualification standards and stress test conditions. Experience with qual hardware/software development would be preferred
Experience in yield management tools such as PDF Exensio, JMP. Apply statistical analysis to isolate the issue and make data-driven decisions
Ability to managing supplier excursions and customer escalations through problem solving
Knowledge of Semiconductor Failure Analysis is preferable
Strong verbal and written communication skills
A good team player. Effective in fast paced, dynamic work environment

Qualifications

BS in Electrical/Electronic Engineering
MS in Electrical/Electronic Engineering is preferred

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
\n
\nWith a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’
\n
\nAt Renesas, you can:

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

","hiringOrganization":{"@type":"Organization","name":"Renesas Electronics","sameAs":"https://www.renesas.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Staff Product Engineer","datePosted":"2025-09-18","description":"

Company Description

Job Description

Full PE product lifecycle ownership from concept to end of life with a focus on ensuring the delivery of the highest quality products to our end customers
Definition of ATE test, qualification and manufacturing plans
Product release into manufacturing with adherence to stringent tier 1-customer requirements
Datasheet and automotive compliance reports
Real time customer support for design, product and quality related issues
Temperature/Voltage/Process characterization and production limit setting
Product new product introduction and yield ownership
Product BOM release and maintenance
Excursion management for both suppliers and customers
Use commercially available yield tools for yield improvement and monitoring, generate weekly reports and review with PE teams
KPI achievement in product related deliverables including NPI execution and velocity, product cost (Gross margin improvements), product quality performance and failure analysis cycle times
PAT, SYL, SBL, SPC limit and disposition optimizations to protect quality without excessive waste

Requirements:

7+ years experience in product engineering. A strong analog circuit background is a must. Familiarity with power management IC testing would be a plus
Familiarity with ATE tester platforms (eg. Teradyne J750, Advantest 93K)
Knowledge of analog and mix-signal circuitry and the common building blocks, device physics, test methodology and DFT knowledge
Experience with common lab test equipment (DC power supply, oscilloscope, multi-meters etc). Bench characterization experience is a plus
Familiarity with JEDEC/AEC qualification standards and stress test conditions. Experience with qual hardware/software development would be preferred
Experience in yield management tools such as PDF Exensio, JMP. Apply statistical analysis to isolate the issue and make data-driven decisions
Ability to managing supplier excursions and customer escalations through problem solving
Knowledge of Semiconductor Failure Analysis is preferable
Strong verbal and written communication skills
A good team player. Effective in fast paced, dynamic work environment

Qualifications

Education:

BS in Electrical/Electronic Engineering
MS in Electrical/Electronic Engineering is preferred

Additional Information

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

","hiringOrganization":{"@type":"Organization","name":"Renesas Electronics","sameAs":"https://www.renesas.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Product Engineer - Base44","datePosted":"2025-09-18","description":"

Job Description

The role includes working in a startup-mode environment.

Build fast, scrappy, and high-quality prototypes to validate product ideas and opportunities.
Partner with product and business teams to translate concepts into tangible experiments.
Balance technical execution with business and product sense - knowing when “good enough” is enough.
Use your developer background to explore technical feasibility while pushing toward user and market impact.
Identify opportunities where LLMs and emerging technologies can solve real user problems.
Move seamlessly between coding, ideating, and testing with real users.

Qualifications

Strong developer background (3+ years hands-on coding experience).
Proven ability to ship prototypes, POCs, or MVPs in fast-paced environments.
Solid product and business instincts - able to evaluate whether something is worth building.
Experience working with LLMs or AI-powered products is a big plus.
Comfortable collaborating across product, design, and engineering.
Thrives in ambiguity and knows how to bring clarity through action.
Curious, creative, and pragmatic - you care about outcomes, not just code

Additional Information

We’re Base44, a newly acquired part of Wix, on a mission to change how products and apps get built. Our AI-powered platform allows anyone to create custom applications using natural language—no traditional coding required. We operate like a startup within Wix: fast-moving, collaborative, and focused on solving complex problems with simple, elegant solutions.

We’re here for anyone who wants to build: creators, solo founders, startups, entrepreneurs, side hustlers, and everyone in between. Whether you're launching a product, validating a concept, or chasing a hunch, Base44 gives you the power to make it real.

Our product is game-changing, our ambitions are bold, and with your help, our growth will be remarkable.

","hiringOrganization":{"@type":"Organization","name":"Wix","sameAs":"https://www.wix.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Technical Program Manager, Applied AI, Google Cloud Platform","datePosted":"2025-09-18","description":"

Minimum Qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
10 years of experience in program management.
10 years of experience in product, developing, operations, or technical consulting roles.
Experience in cloud computing emerging technologies or a related technical field.

Preferred Qualifications:

10 years of experience in a software program management role in cloud computing.
10 years of experience managing cross-functional or cross-team projects.
7 years of experience managing cross-functional programs spanning technical and non-technical members.
Experience executing product launch or go-to-market processes and launch execution.
Experience in distributed systems.
Experience with AI/ML and differentiation of AI model building versus traditional software builds.

About The Job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager at Google, you will lead multi-disciplinary developing projects using your developing expertise. You will plan requirements, manage schedules and communicate risks to stakeholders throughout the project life-cycle. You will bridge discussions with executives and technical trade-offs with developers, using your expertise to drive the direction of programs.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Drive mission critical horizontal programs across multiple products including quality/reliability codes and customer incubation.
Collaborate with Software Developers, Product Managers, and cross-functional groups to drive software development, and manage technical dependencies across the stack.
Define, iterate, and operationalize key metrics that will help achieve product goals and allow the team to prioritize efforts.
Manage a collection of technical programs, drive a multi-quarter roadmap, and communicate effectively with executive stakeholders.
Drive alignment across teams, organizations, program areas to reach consensus on product direction, north-star metrics, developing feasibility, etc.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waterloo, ON, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Lead Product Engineer","datePosted":"2025-09-18","description":"Klein Tools is a dynamic, fast-paced and results driven company dedicated to launching hundreds of innovative products each year. Are you ready to make an impact?

Perks for you include:

• Paid Vacations & Holidays

• Profit Sharing & Matching 401(k)

• Health Insurance (Medical, Vision, & Dental)

• Discounts on Klein Tools products

• Education and Professional Development Assistance

A Lead Product Engineer is a senior-level engineering professional who leads the design, development, and improvement of products, often serving as a key technical expert within the team. This is a technical leadership role where the individual is responsible for project outcomes and on-time delivery of product development in the tool industry. This role involves problem solving and reviewing related information to evaluate and develop options for product design, sustaining activity, and project management and implement solutions with limited direction. Has strong analytical and design skills in multiple subject areas.

1. Determine and execute appropriate theoretical principles and practical approach to design product and systems within the scope of determined program requirements.
2. Make decisions independently on engineering problems and methods.
3. Provides innovation by driving product improvements and contributing to the development of cutting-edge solutions.
4. Subject Matter Expert for at least one category within Klein Tools.
5. Represent the organization in vendor meetings to resolve important questions and to plan and coordinate work.
6. Can autonomously manage multiple medium to high difficulty projects proactively.
7. Accurately estimate and build project timelines within phase gate product development framework.
8. Oversee and coordinate multiple medium to high priority action items, and effectively delegating work when necessary concurrently
9. Perform work which includes complex features
10. Advanced problem solving including conducting detailed feasibility studies for any proposed product or systems to include reviewing design and development plans, reviewing cost estimates, and evaluating engineering proposals and specifications.
11. Coordinate and schedule activities concerned with technical development and resolve any engineering design and test problems.
12. May act as a liaison with internal customer and vendor representatives to ensure adherence of design specifications to the ultimate user's needs and requirements.
13. Excellent communication skills. Clearly and concisely explains subject based on intended audience. Can be relied on to proof work of lower level engineers.
14. Develop high-level PowerPoint presentations to communicate complex engineering concepts and project evaluations to internal stakeholders and outside suppliers
15. Use advanced Excel functions (e.g., pivot tables, macros) to streamline data analysis and reporting.
16. Complex 3D CAD modeling and 2D drafting needed to develop and document medium to high difficulty projects. Capable of running advanced FEA studies with little to no consultation.
17. Constantly review and implement changes as needed to keep active projects on time.
18. Prioritize engineering projects in alignment with the needs and strategic goals of the organization.
19. Maintain close contact with associated team leaders, business unit managers and executive team.
20. Assist in providing direction and mentorship to other engineers within the department and project teams.
21. Minimize negative financial impact within the various facilities during project implementation.
22. Teacher of the Klein NPD processes.
23. Works closely with Product Management in developing new products and customer desired feature sets.
24. Performs other duties as requested.

Job Qualifications

Bachelor of Science Degree in Mechanical Engineering from an ABET accredited institution or program with five (5) or more years of direct work experience in the area. Must have excellent technical, analytical, planning, and organizational skills. Must possess a solid understanding of new product development and new product introduction. Must possess a large spectrum of academic engineering principles and a basic understanding of business-related initiatives. Must have demonstrated experience facilitating complex projects and solutions with multiple interactions. Must have conflict resolution skills and demonstrated team leadership experience. Must have strong oral and written skills with the ability to present both technical analysis and financial based justifications allowing further decision making within all levels of the organization. Ability to function in an environment of changing priorities, goals, and direction often amid stressful conditions and under time constraints. Strong team focus and the ability to work with others, both internal and external to the organization.

Physical Demand Requirements

Occasionally required to stand, walk or sit; use hands to grasp, handle or feel objects, tools or controls; use fingers to touch, pick or pinch objects; reach with hands and arms; push or pull; climb stairs; balance; stoop, kneel, crouch or crawl; use foot or leg controls; talk or hear. The employee must occasionally lift and/or move objects up to 25 pounds. For all jobs no one should lift over 50lbs on their own. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

Your main focus:

· Quality

· Customer Obsession

· Innovation

· Ownership

· Teamwork

Klein Tools is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. For candidates with disabilities and needing assistance, please email us at hr@kleintools.com.","hiringOrganization":{"@type":"Organization","name":"Klein Tools","sameAs":"https://www.kleintools.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mansfield, TX, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Data Science Analyst - Applied AI ML","datePosted":"2025-09-18","description":"

Job Summary:

J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization.

Join our CCOR Data Science team as an Associate - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science.

Job Responsibilities:

Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.
Conduct research on AI techniques to enhance model performance in the compliance and risk domains.
Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.
Communicate technical concepts effectively to both technical and non-technical stakeholders.
Develop and maintain tools and frameworks for model training, evaluation, and optimization.
Analyze and interpret data to evaluate model performance and identify areas for improvement.

Required Qualifications, Capabilities, And Skills:

Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities.
Minimum of 2 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.
Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.
Thorough knowledge of machine learning concepts, including transformers and language modeling.
Experience in data pre-processing, feature engineering, and data analysis.
Excellent problem-solving skills and the ability to communicate ideas and results clearly.
Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.

\n\n\n

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Staff Product Engineer (f/m/d)","datePosted":"2025-09-18","description":"

Job Description

Analog and Connectivity Business Unit (A&C) is looking for a Senior Staff Product Engineer to join our team and lead the development of our cutting-edge sensor products. This role offers a unique chance to guide a product from its initial concept to high-volume production, working with a diverse, cross-functional team.

What You'Ll Do

As a Staff Product Engineer, you'll be the full-lifecycle owner of our products, ensuring the delivery of the highest quality goods to our customers. Your responsibilities will include:

Product Development & Testing:
Manufacturing & Production:
Customer & Supplier Support:
Reporting & Analysis:
Working closely with design, test, applications, and failure analysis teams to debug new products and solve field failures.
Creating and executing test plans to guarantee compliance with datasheet specifications.
Defining and running qualification plans that meet JEDEC/AEC quality standards.
Performing reliability tests to assess and ensure product quality.
Conducting characterization tests across different temperatures, voltages, and processes to set production limits.
Owning and managing the product's Bill of Materials (BOM).
Monitoring production data and using statistical analysis to improve yield and quality.
Leading the product release into manufacturing, meeting strict Tier 1 customer requirements.
Optimizing production limits and disposition rules to maintain quality without creating excessive waste.
Providing real-time technical support for customer issues related to design, product, and quality.
Managing excursions and escalations with both suppliers and customers.
Using yield management tools like PDF Exensio and JMP to monitor and improve yield.
Generating weekly reports and reviewing them with the product engineering team.
Tracking and achieving key performance indicators (KPIs) related to product velocity, cost, quality, and failure analysis cycle times.

Qualifications

Who We're Looking For

Experience & Education:
Technical Skills:
Personal Qualities:
A Bachelor's degree in Electrical/Electronic Engineering or a related field; a Master's degree is a plus.
12+ years of experience in product engineering. A strong background in analog circuits is essential.
Familiarity with ATE tester platforms (e.g., Teradyne J750, Advantest 93K).
Deep knowledge of analog and mixed-signal circuitry, device physics, test methodology, and Design for Testability (DFT).
Experience with standard lab equipment (oscilloscopes, multimeters, etc.) and bench characterization.
Knowledge of JEDEC/AEC qualification standards and stress tests, with a preference for experience in developing qual hardware and software.
Proficiency in statistical analysis and yield management tools to make data-driven decisions.
Some familiarity with semiconductor failure analysis is a plus.
Excellent written and verbal communication skills.
A collaborative team player who thrives in a fast-paced, dynamic environment.

Additional Information

Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

","hiringOrganization":{"@type":"Organization","name":"Renesas Electronics","sameAs":"https://www.renesas.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Applied AI ML Senior Associate","datePosted":"2025-09-18","description":"

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end data pipelines, and integrating them as part of the overall inference architecture. You will have the opportunity to work with traditional AI/ML techniques as well as GenAI.

As a Applied AI ML Senior Associate at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
Develop and maintain pipelines for infrastructure provisioning on public cloud.
Develop and maintain pipelines for model deployment, ensuring scalability, reliability, and efficiency.
Design inference architectures and implement improvements to enhance performance.
Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

\n\n

Required qualifications, capabilities, and skills

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
3+ years of demonstrated experience in applied AI/ML engineering, with a track record of designing, developing and deploying solutions in production.
Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, Scikit-learn, OpenAI, etc.
Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

\n\n

Preferred qualifications, capabilities, and skills

Familiarity with the financial services industries.
A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.
Experience with Infrastructure-as-code tools.

\n\n\n

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Product Engineer II - ArcGIS Roads and Highways","datePosted":"2025-09-18","description":"

Overview

Do you want to work on full-stack software used to manage data related to critical infrastructure for the transportation, energy, and other industries? Do you have a passion for GIS and a desire to make a lasting impact creating software used by state and local governments, as well and private utilities? As a part of the Location Referencing team, you will help define how the ArcGIS platform supports critical infrastructure data management, publication, reporting, and analytics. In this role, you will help design, test, document, and release software used by a large community of GIS professionals to power the operations of their organizations.

Responsibilities

Work with the Product Owners and Product Managers to establish software backlog needs, priorities, and define release themes in ArcGIS Pro, web services in ArcGIS Enterprise, and in various web applications
Create and execute test plans; build and manage testing datasets (N-path testing, acceptance testing, regression testing)
Author and provide technical review of user guide documentation for accuracy, completeness, and usability
Author Scrum user stories and define mockups of rich user experiences that define new feature capabilities to guide the software development process
Demonstrate software capabilities at iteration and stakeholder review meetings and conferences including the User Conference, capturing feedback into product backlogs
Serve as point of contact and collaborate with software engineers on acceptance criteria for features being developed
Create automated tests using ReadyAPI and python
Serve as technical point of contact to practice team, solution engineers, and users

Requirements

2+ years of work experience in a related field (software development, GIS, IT, architecture/AEC)
Experience with ArcGIS Pro; knowledge of ArcGIS Enterprise
Good written and verbal communication skills
Working knowledge of GIS data management practices
Understanding of linear referencing concepts
Bachelor’s in GIS, information systems, IT, geography, computer science, or STEM related field

Recommended Qualifications

Masters in GIS, information systems, IT, geography, computer science, or STEM related field
Experience with or knowledge of the following:\n\n
Working on a software development team developing a software product using Scrum process
Working with linear referenced data
Experience in the transportation, pipeline, or utility industries
Software testing and writing test plans
Authoring user assistance help and user stories
Being a Scrum Product Owner or Scrum Master
Enterprise Geodatabases (SQL Server, Oracle) and multi-user editing
Data modeling spatial models
Python

#Li-Dr5

#Li-Hybrid

Total Rewards

A reasonable estimate of the base salary range is$76,960—$128,544 USD

The Company

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

","hiringOrganization":{"@type":"Organization","name":"Esri","sameAs":"https://www.esri.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO - Louisville","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Product Engineer II - ArcGIS Roads and Highways","datePosted":"2025-09-18","description":"

Overview

Responsibilities

Work with the Product Owners and Product Managers to establish software backlog needs, priorities, and define release themes in ArcGIS Pro, web services in ArcGIS Enterprise, and in various web applications
Create and execute test plans; build and manage testing datasets (N-path testing, acceptance testing, regression testing)
Author and provide technical review of user guide documentation for accuracy, completeness, and usability
Author Scrum user stories and define mockups of rich user experiences that define new feature capabilities to guide the software development process
Demonstrate software capabilities at iteration and stakeholder review meetings and conferences including the User Conference, capturing feedback into product backlogs
Serve as point of contact and collaborate with software engineers on acceptance criteria for features being developed
Create automated tests using ReadyAPI and python
Serve as technical point of contact to practice team, solution engineers, and users

Requirements

2+ years of work experience in a related field (software development, GIS, IT, architecture/AEC)
Experience with ArcGIS Pro; knowledge of ArcGIS Enterprise
Good written and verbal communication skills
Working knowledge of GIS data management practices
Understanding of linear referencing concepts
Bachelor’s in GIS, information systems, IT, geography, computer science, or STEM related field

Recommended Qualifications

Masters in GIS, information systems, IT, geography, computer science, or STEM related field
Experience with or knowledge of the following:\n\n
Working on a software development team developing a software product using Scrum process
Working with linear referenced data
Experience in the transportation, pipeline, or utility industries
Software testing and writing test plans
Authoring user assistance help and user stories
Being a Scrum Product Owner or Scrum Master
Enterprise Geodatabases (SQL Server, Oracle) and multi-user editing
Data modeling spatial models
Python

#Li-Dr5

#Li-Hybrid

Total Rewards

A reasonable estimate of the base salary range is$76,960—$128,544 USD

The Company

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

","hiringOrganization":{"@type":"Organization","name":"Esri","sameAs":"https://www.esri.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redlands, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Graduate Product Engineer","datePosted":"2025-09-18","description":"

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Product Engineer

Primary Responsibilities:

Unit Device, and process expert who has ownership for the performance of a Technology Platform (0.18um - 2um), and responsibility for addressing any process issues affecting the metrics of that process.
Provide engineering support for new product introduction and mature product lines in volume production.
Interface with design, process, test, reliability, and manufacturing engineering to solve product issues and production problems as the product(s) move from design and development, to completion, release, and high-volume production.
Develop and sustain process improvements to reduce production costs and increase yields.
Define problems by identifying failure modes, quantity of material affected, and percent fallout.
Perform circuit analysis on a variety of Analog and mixed signal integrated circuits by using Cadence and electrical lab equipment.
Identify root cause of issues by performing data analysis, problem and material characterization, fault isolation, IC circuit debugging, and physical failure analysis.
Directly engaging with our customers to provide best in class service.
Quality focus to improve customer PPB levels to best in industry.

Qualifications/Skill Set:

BS/MS/PhD degree in Electrical Engineering, Applied Physics, or Material Science or related field.
2+ yrs Experience in semiconductor Industry preferred but not essential
Must have excellent oral, written, and presentation communication skills to efficiently communicate across a global organization where success is highly dependent on collaboration and effective communication.
Ability to lead and coordinate technical projects with diverse and cross-functional teams.
Experience with root cause investigations and corrective action implementation.
Understanding of device performance / process integration interactions
Understanding of integrated circuit functionality and device characterization

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Graduate JobRequired Travel: Yes, 10% of the time","hiringOrganization":{"@type":"Organization","name":"Analog Devices","sameAs":"https://www.analog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ireland, Limerick","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Sr Product Engineer","datePosted":"2025-09-18","description":"

What will you do?

Implement product engineering initiatives efficiently, in accordance with corporate policies, procedures and specifications, to produce within the parameters of quality and target cost.
Collaborates with global design centers to ensure that new product launches and current product enhancements are incorporated into specifications and procedures so that they meet the process requirements for introducing new products.
Collaborates with all departments of the plant to find root causes and solutions of problems related to design, quality, suppliers, product or process.

How will you do it?

Accountable to lead outsourcing projects.
Evaluate technical information with vendors to solve implementation issues.
Coordinate with different departments projects implementation per project schedule.
Work with global Engineering to implement outsourcing projects by JCI specifications.
Accountable to maintaining the reliability of information, updating and maintenance of the master data, bills of materials, engineering drawings.
Provide BOM, drawings and specifications per project requirements.
Propose, evaluate and implement product improvements.
Evaluate material technical specification and standards for deviation proposals.

What are we looking for?

Bachelor’s Degree in Engineering.
Minimum 3 years applicable experience.
Engineering change control processes, bills of materials, drawing revisions.
Ability to prioritize and effectively execute projects.
Self-starter with the ability to learn quickly.
English strong written and oral communication skills.
Proficient with Microsoft Excel, Power Point, Word.
Experience with manufacturing tube and fin coils.
Piping cut & bending processes for copper & SS.
Brazing Processes.

Preferred:

Sap Operational Knowledge.
PTC Creo or other 3D design software.
Knowledge Core Tools.

","hiringOrganization":{"@type":"Organization","name":"Johnson Controls","sameAs":"https://www.johnsoncontrols.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"BE Monterrey Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Staff Applied AI Engineer","datePosted":"2025-09-18","description":"

This role is for one of the Weekday's clients

Salary range: Rs 8000000 - Rs 13000000 (ie INR 80-130 LPA)Min Experience: 10 years

Location: Remote (India)

JobType: full-time

As a Staff Applied AI Engineer, you will be responsible for building and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You will work on mission-critical capabilities such as AI Assistants, Autonomous AI Agents, Deep Research Agents, Conversational Interfaces, Semantic Search, Search Personalization, and AI-driven automation—delivering features that directly impact millions of users’ productivity.

The mission of the AI Engineering team is to leverage large-scale data and cutting-edge AI to predict user behaviors, personalize experiences, and optimize every stage of the customer journey through intelligent automation.

Requirements

What You’Ll Be Working On

AI Assistant & Agent Systems

Agent Architecture & Implementation: Build sophisticated multi-agent systems capable of reasoning, planning, and executing complex workflows.
Context Management: Develop systems that maintain conversational context across multi-turn interactions.
LLM & Agentic Platforms: Build scalable large language model and agentic platforms that drive adoption of AI-powered systems.
Backend Systems: Develop scalable backend infrastructure to support AI assistants and agents.
AI Features: Work on Conversational AI, Natural Language Search, Personalized Content Generation, and similar applications.

Classical AI/ML (Optional Focus)

Search Scoring & Ranking: Enhance recommendation systems and search relevance algorithms.
Entity Extraction: Build models for entity classification and automated keyword extraction.
Lookalike & Recommendation Systems: Develop matching engines and intelligent suggestion systems.

Key Responsibilities

Design & Deploy Production LLM Systems: Deliver scalable, reliable AI systems that serve millions of users.
Agent Development: Create advanced AI agents that chain multiple LLM calls, integrate with APIs, and maintain state across workflows.
Prompt Engineering: Design and optimize prompting strategies, balancing fine-tuning and advanced prompting techniques.
System Integration: Build robust APIs and integrate AI features into existing infrastructure and external platforms.
Evaluation & QA: Implement evaluation frameworks, A/B testing, and monitoring systems to ensure accuracy, reliability, and safety.
Performance Optimization: Optimize systems for latency, scalability, and cost across different LLM providers.
Collaboration: Partner with product teams, backend engineers, and stakeholders to translate business requirements into technical solutions.

Required Qualifications

Core Ai/Llm Experience

10+ years of software engineering experience focused on production systems.
1.5+ years (2023–present) of hands-on experience building real-world LLM-powered applications (GPT, Claude, Llama, or others).
Proven experience in building customer-facing, scalable LLM applications beyond prototypes.
Strong expertise in multi-step AI agent development, LLM chaining, and workflow automation.
Deep understanding of prompt engineering, few-shot learning, and optimization techniques.

Technical Skills

Expert-level Python programming for production AI systems.
Strong backend engineering skills with scalable APIs and distributed architectures.
Experience with LangChain, LlamaIndex, or similar frameworks.
API integration expertise to enable advanced AI functionality.
Experience deploying and managing AI systems in cloud environments (AWS, GCP, Azure).

Quality & Evaluation Focus

Hands-on experience with evaluation frameworks for LLM systems (accuracy, safety, and performance).
Strong knowledge of A/B testing and experimental design.
Experience in production monitoring, debugging, and reliability engineering.
Skilled in managing scalable data pipelines to support AI systems.

What Makes A Great Candidate

Production-First Mindset: You’ve built and scaled AI systems used by real customers—not just research projects.
Technical Depth with Business Impact: Ability to design end-to-end solutions while balancing cost, scalability, and performance trade-offs.
Evaluation & Quality Excellence: Focus on measurable performance, safety, and user experience.
Adaptability & Learning: Comfortable with ambiguity, rapidly evolving frameworks, and staying ahead of the AI landscape.

Skills

Large Language Models (LLMs) • Generative AI • Prompt Engineering • Multi-Agent Systems • Conversational AI • Chatbot Development

","hiringOrganization":{"@type":"Organization","name":"Weekday","sameAs":"https://www.weekday.works"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India - Remote","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Plant Product Engineer","datePosted":"2025-09-18","description":"The position is expected to provide product engineering technical support in the El Salto plant to coordinate and perform design and development engineering, champion engineering warranty solutions, and implement design cost reductions. Central activities include technical problem solving, design change ideation, concept evaluation, design, technical risk analysis, and overall improvement of existing products.

Education & Experience

Bachelor’s degree in engineering (mechanical preferred).
5+ years of engineering experience.
Experience in the creation of DFMEA is required.
Experience in root cause analysis is required.
Ability to understand technical drawings and knowledge of GD&T is required.
Ability to use Microsoft Office software (Outlook, Excel, PowerPoint) required.
Excellent communication skills required.
Experience in the automotive development process is required.
Experience in powertrain, engine, and/or timing systems is preferred.
Experience in DFM/DFA is preferred.
Manufacturing and assembly process knowledge preferred.

Responsibilities:

Provides the El Salto plant with technical problem solving (e.g., 8D lead and support) capability, including analysis of hardware for failure modes, analysis of design and manufacturing processes for root causes and corrective actions.
Supports El Salto manufacturing operations, including supply chain, in solving production or process problems to ensure that product meets requirements of reliability, quality, and cost.
Releases designs of El Salto products (e.g. chain timing drives, oil pump chains, VCT) in conformance with product design guidelines and BW process.
Works collaboratively with global product engineering, sales, program management, manufacturing, quality, and supply chain personnel to achieve goals set forth by regional engineering management and local plant management.
Keeps the regional and global product engineering management team informed of activity and progress on an agreed upon frequency.
Keeps the local plant management team informed of activity and progress on an agreed upon frequency.
Leads DRBFM, DFMEA, DVP&R, and DFM/DFA reviews.
Identifies new concepts that address weaknesses within our current product portfolio or technology roadmap.

Internal Use Only: Salary

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","hiringOrganization":{"@type":"Organization","name":"BorgWarner","sameAs":"https://borgwarner.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"El Salto - Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Applied AI Engineer","datePosted":"2025-09-18","description":"

This role is for one of the Weekday's clients

Salary range: Rs 6000000 - Rs 9000000 (ie INR 60-90 LPA)Min Experience: 7 years

Location: Remote (India)

JobType: full-time

As a Senior Applied AI Engineer, you will be responsible for designing, building, and productionizing advanced AI systems powered by Large Language Models (LLMs) and intelligent agents. You’ll work on mission-critical capabilities such as AI Assistants, Autonomous Agents, Conversational Systems, Semantic Search, Search Personalization, Deep Research Agents, and AI-powered automation—driving measurable impact on user productivity at scale.

The role focuses on leveraging large-scale data and cutting-edge AI to predict user behaviors, personalize experiences, and optimize the customer journey through intelligent automation.

Requirements

What You’Ll Be Working On

AI Assistant & Agent Systems

Agent Architecture & Implementation: Build sophisticated multi-agent systems capable of reasoning, planning, and executing complex workflows.
Context Management: Design systems to maintain context across multi-turn conversations.
LLM & Agentic Platforms: Develop scalable agentic frameworks and large language model platforms to enable widespread adoption.
Backend Systems: Build and maintain robust back-end infrastructure to support AI agents.
AI Features: Deliver solutions like Conversational AI, Semantic Search, and Personalized Content Generation.

Classical AI/ML (Optional Focus)

Enhance recommendation systems, search relevance, and entity extraction models.
Build intelligent matching engines and lookalike/recommendation systems.

Key Responsibilities

Design & Deploy LLM Systems: Deliver reliable, scalable production systems serving millions of users.
Agent Development: Build advanced AI agents capable of chaining LLM calls, integrating APIs, and managing workflow states.
Prompt Engineering: Develop, test, and optimize prompting strategies to maximize LLM effectiveness.
System Integration: Create APIs and integrate AI features into existing infrastructures and external platforms.
Evaluation & QA: Establish evaluation frameworks, monitoring systems, and A/B testing pipelines to ensure quality, safety, and reliability.
Performance Optimization: Drive cost, latency, and scalability improvements across models and providers.
Collaboration: Partner with product teams, backend engineers, and stakeholders to deliver business-driven AI solutions.

Required Qualifications

Core Ai/Llm Experience

7+ years of software engineering experience with production systems.
1.5+ years (2023–present) of hands-on experience building real-world LLM applications (GPT, Claude, Llama, etc.).
Proven track record in delivering customer-facing, scalable LLM-powered products.
Experience in multi-step agent development, workflow automation, and LLM chaining.
Strong expertise in prompt engineering, few-shot learning, and optimization techniques.

Technical Engineering Skills

Expert-level proficiency in Python for production systems.
Strong background in backend engineering, APIs, and distributed architectures.
Familiarity with frameworks like LangChain, LlamaIndex, or similar.
Proven experience with API integrations and cloud deployment (AWS, GCP, Azure).

Quality & Evaluation

Skilled in building evaluation frameworks for LLM accuracy, safety, and performance.
Strong understanding of A/B testing methodologies.
Hands-on experience with production monitoring, debugging, and reliability engineering.
Experience managing data pipelines to support large-scale AI systems.

What Makes A Great Candidate

Production-First Mindset: Experienced in building AI systems used by real users, not just prototypes.
Technical Depth with Business Focus: Ability to design end-to-end systems, balancing performance, scalability, and cost trade-offs.
Evaluation & Quality Excellence: Track record of implementing measurable evaluation methodologies while prioritizing safety and UX.
Adaptability & Growth: Comfortable working in ambiguous spaces, staying current with the evolving AI landscape, and adapting to new models and frameworks.

Skills

Large Language Models (LLMs) • Generative AI • Prompt Engineering • Multi-Agent Systems • Conversational AI • Chatbot Development

As an Applied AI Engineer II you will play a pivotal role contributing to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.

You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.

We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.

We are looking for an Applied AI Engineer II to join our team.

This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.

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

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
Share insights on industry trends and applied technologies with engineering and product teams.
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes.
Design, develop, and integrate generative AI solutions using foundation models and more.
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems
Embody our culture and values.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
1+ years of experience with generative AI OR LLM/ML algorithms

Other Requirements:

Ability to pass Microsoft Cloud Background Check upon hire and every two years thereafter.

Preferred Qualifications:

Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
1+ year of experience developing and deploying live production systems
Experience across the product lifecycle from ideation to shipping

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 September 24, 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.

#Bicjobs

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About The Role:

We are seeking a Product Engineer with strong fundamentals in modern web product development and a passion for augmenting engineering workflows with AI. You will help build advanced real estate analytics and investment tools—including interactive geospatial visualizations and server-side infrastructure—while leading the charge in applying cutting-edge AI techniques to improve developer efficiency and software quality.
This role is ideal for engineers who have recently focused on AI-driven code generation, prompt engineering, agentic systems, and protocols like MCP, and are excited to use these innovations to reshape the way high-quality software is designed, built, and maintained.

Responsibilities:

Execute full software development life cycle (SDLC) for fullstack applications
Develop real estate analytics products with sophisticated geospatial and data visualizations
Architect and implement frontend interfaces with React/Redux and backend node/typescript APIs
Apply prompt engineering and agentic AI systems (e.g., OpenAI Assistants, GPT Agents) to accelerate software delivery
Design and operationalize workflows that integrate AI-generated code with existing engineering pipelines
Build internal tools or agents that optimize tasks such as testing, refactoring, documentation, and code reviews
Collaborate on best practices for human-AI pair programming, including prompt tuning and feedback loops
Evaluate and experiment with new AI development tools, including MCP protocol frameworks and LangChain-style orchestration
Continuously improve CI/CD pipelines and developer experience

Required Qualifications:

6+ years of professional software engineering experience, with fullstack capabilities
Proficiency with modern full-stack engineering:
>Frontend: TypeScript and modern frameworks (React, Redux)
>Backend: Python (Flask, FastAPI, Django) and/or Node.js
API Development: Experience building and consuming REST and/or GraphQL APIs
Experience building and consuming REST and/or GraphQL APIs
Demonstrated experience in applying AI technologies to software engineering tasks (e.g., prompt engineering, Copilot, GPT integration, etc.)
Familiarity with LLM development patterns, retrieval-augmented generation (RAG), and agentic tooling

Nice To Have:

Experience integrating AI agents into engineering workflows (e.g., planning, coding, QA, deployment)
Familiarity with MCP (Multi-Agent Communication Protocol) or similar standards
Hands-on experience with LangChain, AutoGen, CrewAI, OpenAI Assistants API, or ReAct-style agents
Knowledge of PostgreSQL, Docker, Kubernetes, and material UI frameworks
Data visualization tools (e.g., D3.js, Deck.gl) and geospatial data handling
Early-stage startup or fast-growth environment experience

Why Cherre?

Equity options: Opportunity to participate in the company’s equity program, allowing employees to share in Cherre’s success and growth.
Comprehensive healthcare plans: A variety of healthcare options to meet your and your family’s needs, including medical, dental, and vision insurance.
Paid parental leave: Generous parental leave policy that supports new parents in balancing family responsibilities with work commitments.
Unlimited vacation: Enjoy the flexibility of unlimited vacation days, encouraging work-life balance and personal well-being.
Flexible work schedule: Options for remote work and flexible hours, enabling you to tailor your work environment to enhance productivity.
Professional development: Access to mentorship, workshops, and industry conferences to support career growth and enhance your skills.
Collaborative company culture: A supportive and inclusive work environment that fosters collaboration, innovation, and open communication among team members.
Compensation: $100,000–$150,000/year

If this opportunity excites you, apply now or connect with our internal talent team. We'd love to share more about Cherre: the technology we use, the problems we're solving, and the values we live by. We're building something transformative—and we want you to be part of it.
“At the top of the mountain we are all snow leopards.” — Hunter S. Thompson
Cherre is an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive environment for all employees.","hiringOrganization":{"@type":"Organization","name":"Cherre","sameAs":"https://cherre.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Principal Applied AI Engineer","datePosted":"2025-09-17","description":"

The Business & Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Microsoft Copilot Studio, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

The BIC Agent Cloud organization at Microsoft is among the most thrilling to be a part of. BIC Agent Cloud products herald a new era of business applications that are data-initiated, AI-driven, built for collaboration, and simplify business problem-solving with low-code/no-code platforms. Our team is responsible for developing the platform for Dynamics 365 suite of business applications, and the Power Platform suite of low-code tools. We are at the vanguard of digital transformation, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions and product offerings. This new productivity era leverages the power of data, AI, and productivity tools to deliver unmatched experiences across all channels.

We are seeking a highly accomplished Principal Applied AI Engineer with deep expertise in large language models (LLMs) - including both text and multimodal systems - reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior individual contributor role for a thought leader who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. You will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions.  This can range from working together on building fine-tuned models to coming up with ways to build custom LLMs for specific product needs.

We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation. 

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Lead the design and development of advanced AI models and agentic systems for real-world applications.
Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.
Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.  Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
Collaborate with stakeholders to define project goals, success criteria, and deliverables.  Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring. 
Mentor applied scientists and provide technical leadership across high-impact projects, foster a collaborative and innovative work environment.  
Driving the team's strategic vision, contribute to the organization’s scientific direction and align it with the overall company objectives, influencing roadmaps and long-term vision. 
Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.  
Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements.
Develop and deploy conversational and language understanding models at   
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.  
Drive thought leadership, architecture for high scale, high throughput, low latency inferencing.
Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
Be involved in the onboarding process for new team members, providing guidance and support as they join the team.
Embody our Culture, Values & Responsible AI standards

Qualifications

Required Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
2+ years’ experience with transformer-based models (e.g., GPT, Llama). 
2+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.   
2+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:   

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.    
8+ years’ experience conducting research as part of a research program (in academic or industry settings). 
6+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.   
6+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.  
Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference. 
6+ years of experience programming with C# is preferred 
Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or agentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction 
6+ years of experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms. 
6+ years of experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.    
6+ years of experience demonstrating a growth mindset, customer obsession, and Inclusion.    
6+ years of experiece Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 October 20th, 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.

MANNARINO Systems & Software Inc. is a leader in providing safety-critical systems, software, hardware and certification engineering services to the aerospace, defense, space, simulation & power generation industries.

Our customer base is very large, covering traditional aerospace companies as well as new and exciting markets, including electric propulsion, Urban Air Mobility, Unmanned Aerial Vehicle and autonomous flight.

The MANNARINO culture is focused on high quality, hard work, professionalism and teamwork within a highly respectful, motivating atmosphere geared towards long-term business growth.

As a member of our team, you will benefit from:

a comprehensive group insurance and RRSP plan
a flextime policy with paid overtime
discretionary bonuses
a fitness reimbursement program
other office perks such as catered weekly lunches and free hot beverages (espresso, coffee, hot chocolate and tea)
regular company outings

Career Opportunity and Primary Roles / Responsibilities

We are seeking a motivated Drone Ground Station Product Engineer to join our team in developing and enhancing the ground station systems that power a next-generation autonomous drone. The ideal candidate will bring hands-on experience in software development, system integration, and IoT technologies, with a strong interest in designing scalable, reliable, and connected drone station platforms.

Responsibilities:

Design, specify, develop, integrate and test ground station software and systems for drone operations.
Develop and maintain end-to-end scripting and data pipelines supporting CI/CD activities\n
Write clean, efficient, and maintainable code across different environments.\n
Contribute to system simulations and design integration, ensuring robust testing and performance.\n
Participate in software integration and validation activities across hardware and software components.\n
Collaborate cross-functionally with hardware, systems, and operations teams to deliver seamless solutions.

Required Competencies

Bachelor’s or master’s degree in computer science, Software Engineering, Electrical/Systems Engineering, or equivalent field.
2–4 years of professional Full-Stack software development experience on cloud platforms (AWS preferably) in Python and/or Java
Proven experience in system design (including specification development and/or validation), integration and test
Strong analytical skills with an ability to debug complex system interactions.

Additional Preferred Skills

Experience in IoT frameworks (preferably AWS IoT Greengrass), and messaging protocols (MQTT, WebSockets, etc.Knowledge of real-time data processing and visualization tools.
Experience in cellular networks, telecommunications, or general communications systems.
Prior experience in unmanned systems, robotics, or aerospace applications.

Miscellaneous Requirements

Work can be done remotely.
For employees based in Montreal, the work model is hybrid (at least one day at the office).
The position might require travel to visit customers (in North America)

Knowledge of English is required to communicate and work with customers outside the province of Quebec. / La connaissance de l'anglais est requise pour communiquer et travailler avec nos clients situés à l'extérieur de la province de Québec.

At MANNARINO, we believe that passion and a desire to learn is crucial. Diversity of thought and experiences leads to innovative solutions and creativity. This is why we would like to encourage all those interested to apply.

We are an equal opportunity employer. All applicants will be held in strict confidence. Only those selected for interview will be contacted.

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Proven to Perform.

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.

\n\n

Our Internship Program is designed to provide a rewarding experience and the features of ATI’s Internship Program include:

Experiential Learning: Hands on work assignments and projects related to your career field of interest
Professional Development: Curriculum designed to develop your business acumen and professional skills
Professional Networking: Planned events meant to give you informal networking opportunities with other interns and employees

\n\n

Essential Functions:

Establish relationships between process characteristics and key output variables.
Assist the Quality Department with the development and improvement of standard operating procedures and temporary work instructions.
Identify, justify, and implement cost savings projects.
Participate on Capital Project teams as needed.
Daily and direct interaction with production personnel involving process related issues and potential improvements.

\n\n\nQualifications\n \n \n\n

Requirements:

\n\n

Currently attending accredited 4-year college with a major in Chemical Engineering, Materials Science/Metallurgy, or related field.

\n\n\n

Preferred Requirements:

Desire to work in a manufacturing environment, and working from a maintenance perspective with heavy industrial equipment is a plus
Familiarity with computer-based process models and optimization techniques.
Proficiency with ad-hoc database queries using Microsoft Access or SQL.
Role will have the opportunity to present their projects to the senior management of ATI Specialty Rolled Products at the end of their internship.

\n","hiringOrganization":{"@type":"Organization","name":"ATI","sameAs":"https://www.atimetals.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Natrona Heights, PA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Product Engineer, Applied AI","datePosted":"2025-09-17","description":"

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As A Member Of The Applied Ai Team At Anthropic, You Will Be A Technical Product Engineer Focused On Becoming A Trusted Technical Advisor To Customers As They Adopt Claude. You Will Work Closely With Customer Product And Engineering Teams As They Ship New Products Powered By Claude: Advising On Architecture Design Decisions, Developing Evaluation Frameworks, And Guiding Customers Through The Most Cutting Edge Implementation Patterns For Llms.

Working Closely With Our Sales, Product, And Engineering Teams, You'Ll Guide Customers From Technical Discovery Through Successful Deployment. You'Ll Combine Deep Engineering Expertise With Customer-Facing Skills To Help Customers Understand The Potential Of Working With Llms And Build Innovative Solutions That Address Complex Business Challenges While Maintaining Our High Standards For Safety And Reliability.

Responsibilities:

Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation
Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API
Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and building relationships
Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have:

4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale
Strong programming skills with proficiency in Python and experience building production applications
Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach

\n\n

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:$200,000—$300,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How We'Re Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come Work With Us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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We are seeking a highly accomplished Senior Applied AI Engineer with deep expertise in large language models (LLMs) - including both text and multimodal systems - reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior role for an individual contributor who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. You will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual capable of working with research teams and partnering with them to deliver joint solutions.  This can range from working together on building fine-tuned models to coming up with ways to build custom LLMs for specific product needs.

Responsibilities

Design and develop advanced AI models and agentic systems for real-world applications.
Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.
Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.  Stay current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
Collaborate with stakeholders to define project goals, success criteria, and deliverables.  Deliver end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring. 
Mentor applied scientists and provide technical leadership across high-impact projects, foster a collaborative and innovative work environment.  
Contribute to the team's strategic vision, the organization’s scientific direction and align it with the overall company objectives, including roadmaps and long-term vision. 
Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.  
Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements.
Develop and deploy conversational and language understanding models at scale.  
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.  
Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
Be involved in the onboarding process for new team members, providing guidance and support as they join the team.
Embody our Culture, Values & Responsible AI standards

Qualifications

Required Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
1+ years of experience with transformer-based models (e.g., GPT, Llama). 
1+ years of experience in coding and design, specifically in the development of AI models for production services.   
1+ years of experience in shipping applied research to production, combining coding skills with advanced expertise in AI model development.

Other Requirements

This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

Master's or Ph.D in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.    
2+ years of experience conducting research as part of a research program (in academic or industry settings). 
2+ years of experience in coding and design, specifically in the development of AI models for scaled production services.   
3+ years of experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.  
Professional, working expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference. 
3+ years of experience programming with C# is preferred 
Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or agentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction 
3+ years of experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms. 
3+ years of experience demonstrating a growth mindset, customer obsession, and Inclusion.    
3+ years of experince making product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 and processes offers for these roles on an ongoing basis.

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

#Microsoftai

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What'S The Opportunity?

At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

We are looking for a Senior Engineer to join the team that builds and maintains a wide range of APIs and core services that support customer data management and integrations. We empower our customers and developers to move their data to best leverage our AI Agent, including Intercom’s MCP functionality.

Our team also manages strategic integrations with apps like Salesforce, Stripe, Shopify, and others, ensuring seamless data synchronization across external systems.

What Will I Be Doing?

Contribute to all phases of software development including ideation, prototyping, design and implementation.
Collaborate with Product, Design, and Partnerships teams to ensure our data services meet business needs and provide a great developer experience.
Design, develop, and maintain Intercom’s APIs, making sure they are feature rich, performant, robust, and well documented.
Build and enhance our strategic integrations with apps like Salesforce, Stripe, and Shopify.
Implement systems to monitor what we have built, to detect and surface both bottlenecks and problems with queues, workers and data quality issues.
As a senior engineer, you will lead complex team level projects from ambiguous customer problems to delivered technical solutions
Play an active role in the hiring, mentoring, and career development of other engineers.
Raise the bar for technical standards, performance, reliability, and operational excellence across Intercom.

What Skills Do I Need?

5+ years industry experience in a software engineering role. You can demonstrate significant impact that your work has had on the product and/or the team.
Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.)
Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling.
Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
Understanding of modern web apps and distributed systems, along with an ability to articulate technical challenges and solutions.
Ability to learn quickly, iterate, unblock yourself, and persist until the right problem is solved.
Experience modeling data to solve problems in elegant and efficient ways
Experience with creating and consuming APIs and API documentation.
Some hands-on cloud provider experience (preferably AWS).
Strong problem-solving skills and a collaborative mindset.
Experience as a technical lead for team level projects

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed.

#Li-Hybrid

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Is this role not quite what you're looking for? Join our Talent Community to stay connected with us.

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About Stepful:

Stepful is reimagining allied healthcare training by offering affordable, online, instructor-led, and AI-supported programs that help learners—especially those from underserved communities—launch high-demand healthcare careers.

In addition to our direct-to-consumer training, Stepful partners with leading healthcare institutions to build talent pipelines and address the growing shortage of allied health workers. Our graduates, including Medical Assistants, Pharmacy Technicians and more, go on to work at major employers like CVS, NY-Presbyterian, and Walgreens.

Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $31.5M Series B led by Oak HC/FT. We were named the #1 EdTech company in the U.S. by TIME for 2025.

We’re unlocking the full potential of the global workforce—improving access to quality healthcare for everyone, everywhere.

Our Values:

We credit much of our success to our exceptional team. We’re looking for mission-driven individuals who thrive in fast-paced, sometimes ambiguous environments, and embody our four core values:

Care first: We do whatever it takes for our students to succeed.
Learn quickly: We test, learn with data, and iterate.
Build together: We win when we rely on each other.
Own it: We show up, take initiative, and show pride.

The Opportunity:

This is a unique opportunity for a Product Engineer on our AI Team to shape the future of education and career advancement at Stepful. You'll be at the forefront of integrating cutting-edge AI into our core products, directly impacting the learning journey and career outcomes of thousands of students from underserved communities. You will build innovative solutions that enhance the student experience, empower our internal teams, and drive the creation of dynamic, adaptive educational content. Success in this role will be measured by student satisfaction and increasing operator/employee efficiency–letting operators focus on substantive human interaction. The work style will include R&Ding new tools and building 0-to-1 experimental products. This is a hybrid opportunity with our team in-office Tuesday through Thursday in our Soho office. This role reports to our Founding Engineer/Engineering Manager.

What You’Ll Do:

World-Class Learning Experience Development:
Innovative Career Services with Generative AI:
Internal Workforce Empowerment:
Cutting-Edge Content Management & Generation:
Reliable Data Pipelines:
Develop and iterate on our advanced Learning Management System (LMS) with a focus on seamless user experience (UX), adaptive learning pathways, peer-to-peer engagement, gamification, and motivational mechanisms to ensure impactful outcomes for students.
Apply Generative AI techniques to enhance the job-seeking process for our graduates, from automated resume generation to personalized interview training tools.
Work closely with the Career Services team to understand needs and implement features that empower graduates to secure high-demand healthcare careers.
Design, build, and maintain robust platforms and tools for instructors, TAs, coaches, and operators, leveraging Generative AI to optimize student success and operational efficiency.
Collaborate with various internal teams to identify pain points and develop AI-driven solutions that maximize their impact on students' lives.
Develop technology to generate, maintain, and adapt educational content at scale, significantly reducing curriculum creation time and enabling rapid iteration based on learning needs.
Explore and implement advanced techniques for automated content generation and personalized learning pathways.
Ensure data reliability and accessibility across Stepful, building robust data pipelines that empower business, learning, and operations teams to make informed, data-driven decisions.
Own Stepful’s prompt chaining and context retrieval pipelines, and evaluate prompt success with A/B testing.

What You’Ll Bring:

6+ years of engineering experience, with a strong preference for backgrounds in direct-to-consumer startup environments.
2+ years of hands-on experience building and launching Generative AI products.
Deep experience with Ruby on Rails, React, TypeScript, Node.js.
Demonstrated experience handling and piping large datasets through Large Language Models (LLMs).
Proficiency in evaluating LLM performance, building robust testing frameworks, and iterating to improve model accuracy and efficiency.
Familiarity with prompt-chaining, Retrieval-Augmented Generation (RAG), and other model optimization techniques.
A relentless obsession with solving complex problems using cutting-edge technology and a strong commitment to continuous learning.
Excitement about joining an early-stage company and a proactive, pioneering mindset for building new solutions from the ground up.
A strong drive to make a tangible impact on people's lives through technology.
Languages/Frameworks: Ruby on Rails, React, TypeScript
Infra: Heroku, AWS, Vercel
LLMs/AI: OpenAI, custom pipeline
Data: Postgres, BigQuery

Our Stack

Compensation:

$140-200k Base Salary

Compensation for this role will fall within the pay range listed and will be determined based on job-related factors including, but not limited to, skills, experience, qualifications as well as interview evaluation. Ranges are market-dependent and may be modified in the future.

Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic.

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Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

What'S The Opportunity?

We are looking for a Product Engineer to join the team that builds and maintains a wide range of APIs and core services that support customer data management and integrations. We empower our customers and developers to move their data to best leverage our AI Agent Fin, including operating as an MCP client.

Our team also manages strategic integrations with apps like Salesforce, Stripe, Shopify, and others, ensuring seamless data synchronization across external systems.

What Will I Be Doing?

Contribute to all phases of software development including ideation, prototyping, design and implementation.
Collaborate with Product, Design, and Partnerships teams to ensure our data services meet business needs and provide a great developer experience.
Design, develop, and maintain Intercom’s APIs, making sure they are feature rich, performant, robust, and well documented.
Build and enhance our strategic integrations with apps like Salesforce, Stripe, and Shopify.
Implement systems to monitor what we have built, to detect and surface both bottlenecks and problems with queues, workers and data quality issues.

What Skills Do I Need?

2+ years of industry experience in a software engineering role. You can demonstrate significant impact that your work has had on the product and/or the team.
Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.)
Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling.
Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams
Understanding of modern web apps and distributed systems, along with an ability to articulate technical challenges and solutions.
Ability to learn quickly, iterate, unblock yourself, and persist until the right problem is solved.
Strong problem-solving skills and a collaborative mindset.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed.

#Li-Hybrid

Policies

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Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs.
Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, escalation management, or IT consulting.

Preferred Qualifications:

Experience translating business requirements into technological solutions.
Experience in application or workload migration to public cloud providers.
Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver high-impact solutions.
Understanding of IT operations, database systems, networking, IT security, application development, service architecture, cloud-native application development, hosted services, storage systems, or content delivery networks.
Excellent written and verbal communication, presentation, problem-solving, and client management skills.

About The Job

As a Global Product Lead, you will partner with gTech Ads Support Services, Product Management (PM), and Engineering to define and deliver next-generation support experiences, driving cross-functional efforts to build, launch, and enhance ML/AI infrastructure and improve generative AI model performance across platforms.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

Partner with cross-functional stakeholders to understand customer and business team needs related to gTech anchor tools.
Set the goal and strategy for platform/tools, identify solutions, articulate prioritized business needs to Product Management, and influence the technical roadmap.
Manage delivery, performance, and user satisfaction of anchor tool components and features.
Ensure transparency in systems development, providing key information to communicate and educate the business on capabilities and investments.
Lead Applied AI Solutions for Ads Support.

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