{"@context":"https://schema.org","@type":"ItemList","name":"Technical Program Manager Job Description and Requirements","description":"Explore the role of a Technical Program Manager, responsibilities, skills required, and career prospects. Find Technical Program Manager job listings on top job boards.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Technical Program Manager, Applied AI, Google Cloud Platform","datePosted":"2025-09-05","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, engineering, 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 ML/AI 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 engineering projects using your engineering 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 engineers, 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.
The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Drive mission critical horizontal programs across multiple products including quality/reliability codes and customer incubation.
Collaborate with Software Engineers, 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, engineering feasibility, etc.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Technical Program Manager, Applied AI, Google Cloud Platform","datePosted":"2025-09-04","description":"

Minimum qualifications:

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

Preferred qualifications:

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

About the job

As a Technical Program Manager at Google, you will lead complex, multi-disciplinary engineering projects using your engineering expertise. You will plan requirements with internal customers and user projects through the entire project life-cycle. You will manage project schedules, identifying risks and clearly communicating them to project stakeholders. You will be equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. You will use your extensive technical and leadership expertise, and will manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Responsibilities

Drive mission critical horizontal programs across multiple products including quality/reliability codes and customer incubation.
Collaborate with Software Engineers, 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 us achieve our product goals and allow the team to prioritize efforts.
Program manages a collection of technical programs, drives a multi-quarter roadmap, and communicates to a complex web of executive stakeholders.
Drive alignment across teams/organizations/Program Areas to reach consensus on product direction, north-star metrics, engineering feasibility, etc.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Technical Program Manager, Applied AI","datePosted":"2025-09-04","description":"

Minimum qualifications:

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

Preferred qualifications:

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

About the job

As a Technical Program Manager at Google, you will lead multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and manage projects through the entire project lifecycle, which includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You are equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.\n\nUsing your extensive technical and leadership expertise, you will manage projects of various sizes and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

The US base salary range for this full-time position is $183,000-$271,000 + 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 mission critical horizontal programs across multiple products including quality/reliability codes and customer incubation.
Collaborate with software engineers, 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 us achieve our product goals and allow the team to prioritize efforts.
Manage a collection of technical programs, drive a multi-quarter roadmap, and communicate to a web of executive stakeholders.
Drive alignment across teams/organizations/product areas to reach consensus on product direction, north-star metrics, engineering feasibility, etc.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior - Google Cloud Platform","datePosted":"2025-07-16","description":"

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

GCP \n
\n\n\n\n\n
Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
\n\n\n\nB.E","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Manager - Google Cloud Platform","datePosted":"2025-08-07","description":"

About KPMG in India

Yes \n
\n\n\n\n\n
Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
\n\n\n\nB.E","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior - Google Cloud Platform","datePosted":"2025-08-05","description":"

About KPMG in India

GCP \n
\n\n\n\n\n
Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
\n\n\n\nB.E","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ahmedabad, Gujarat, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Google Cloud Platform Engineer","datePosted":"2025-08-22","description":"Google Cloud Platform Engineer

The Opportunity:
Everyone is trying to “harness the cloud,” but not everyone knows how. As a GCP Cloud Computing Engineer, you know how to take advantage of cloud capabilities. On our team of experienced professionals, you’ll use cutting-edge enterprise cloud platforms to support health clients as they use the cloud to meet new computing challenges and modernize their existing infrastructure.

You’ll closely collaborate with fellow Cloud Engineers and Architects specializing in GCP to design, define, develop, test, and debug cloud solution components. You’ll partner with stakeholders and your team to deliver the right technical solutions. Whether modernizing legacy computing platforms and applications or creating new ones from scratch, you’ll have the latest tech and brightest teammates at your fingertips.

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

3+ years of experience working with cloud technologies
3+ years of experience in cloud applications and managing infrastructure in an enterprise environment
Experience working with applications or resources in Google Cloud
Knowledge of networking, storage, computer, and database fundamentals
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice If You Have:

Experience with Software Development Lifecycles and Agile best practices
Experience managing Containers or Virtual Machines
Experience using Git, GitHub, GitLab, Harness, or Jenkins
Experience with scripting tools such as Bash, PowerShell, JSON, and Python
Knowledge of IAC tools such as Terraform
Google Cloud Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

","hiringOrganization":{"@type":"Organization","name":"Booz Allen Hamilton","sameAs":"https://www.boozallen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA, VA, Ashburn (22001 Loudoun County Pkwy), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"DevSecOps (Google Cloud Platform)","datePosted":"2025-08-25","description":"

About us

At Leadtech, we've been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we're united by a passion for creativity and collaboration.

We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.

We're proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our About Us page!

About the role

Our Cybersecurity team is growing and wee are searching for additional expertise who can help us to continually improve the level of cybersecurity in our Google Cloud Platform projects, allowing us to keep securing our top applications, domains and systems.

Key responsibilities:

Analyse the apps & infrastructure to identity threats & vuñnerabilities
Define security requirement to increase security & resilience
Support technology teams in order to implement measures

Requirements

Bachelor/ Master's degree in Cybersecurity, Information Security, Computer Science, or a similar discipline
Knowledge of Security frameworks such as ISO 27001, NIST, CIS, SOC2, OWASP
Knowledge of technical concepts such as cloud computing, code review, application security, cryptography with expertise in GCP (Google Cloud Platform)
Familiarity with attack and exploitation techniques involving operating systems, applications, and devices (CISSP, Comptia, CEH)
Understanding of security in mobile & web application development including:

Secure coding practices (input validation review, code obfuscation, etc)
Authentication & authorisation
Data protection (encryption, key management, etc)
Update & Monitoring

Understanding of security best practices for data and systems protection
Familiarity with vulnerability scanning tools such as SonarQube, AWS Inspector, Qualys, Nessus, others is a plus
Knowledge of programming and scripting languages such as Java and PhP
Ability to evaluate, track, and manage information security threats and vulnerabilities in situations where analysis of well-understood information is required.
Understanding and ability to perform pentest over applications and to identify and assess attack vectors on different applications
Strong analytical and problem-solving skills
Effective communication skills to collaborate with cross-functional teams
Ability to report and create KPIs for the Security Department
Familiarity with ticketing tools such as Jira
Expertise in Security applied to Cloud Computing.
Knowledge in GCP is a must. Any certification in GCP and/or AWS is a plus
Relevant certifications, such as CompTIA Security+, Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or others is a plus

Benefits

Perks of being one of us:

Top-notch private health insurance — includes dental and psychological services
Full-time, permanent contract
Flexible time off, no blackout dates, plus your birthday, Christmas’ Eve and New Year’s Eve off
Remote work OR come into the office if you prefer!
Flextime (7 – 9:30 a.m. / 3:30 – 7:30 p.m)
Free Friday afternoons (a 7-hour workday!) + 35-hour week in July and August (free afternoons here we come!)
Enhanced career path designed just for you
External training budget

Other: ticket restaurant, nursery tickets
Budget for team-building activities
We celebrate all company landmarks

Sounds good? Apply now! We’re looking forward to getting to know you.

Location

Our exceptional offices are in Barcelona's Blue Building, right on the city's seafront. Besides our stunning views, you'll enjoy perks such as free fruit, snacks, and coffee and will be able to take part in our game competitions.

We are an Equal Opportunity Employer and are committed to providing employees with a work environment free of discrimination and harassment.

The personal data you provide will be used solely to manage your candidacy for the purposes of this position. You can exercise your rights of access, rectification, or cancellation by sending a letter to Avenida Litoral, 12-14, 5ta planta, Barcelona 08005. Additionally, you can email us at protecciondedatos@LeadTech.com, including documentation proving your identity.

","hiringOrganization":{"@type":"Organization","name":"Leadtech","sameAs":"https://leadtech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spain - Remote","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Google Cloud Platform Engineer","datePosted":"2025-09-05","description":"

LightFeather is seeking a Cloud Engineer – GCP who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

Location: In-Person (5 days/week) in Washington, DC
Job Type: Full Time
Citizenship: U.S. Citizenship Required
Clearance Requirement: Willing to obtain a security clearance

\nKey Responsibilities\n

Design, implement, and manage secure and scalable cloud infrastructure using GCP.
Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
Support CI/CD pipeline automation, integration, and management.
Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

Willing to obtain a security clearance.
4+ years of experience in cloud engineering, with at least 2 years on GCP.
Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
Experience working in an Agile/Scrum environment.

Preferred Skills

GCP Professional Cloud Architect or DevOps Engineer certification.
Experience supporting federal government contracts and understanding of ATO processes.
Familiarity with other cloud platforms (AWS, Azure) is a plus.
Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

","hiringOrganization":{"@type":"Organization","name":"LightFeather","sameAs":"https://lightfeather.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Google Cloud Platform Engineer","datePosted":"2025-09-10","description":"

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

Location: In-Person (5 days/week) in Washington, DC
Job Type: Full Time
Citizenship: U.S. Citizenship Required
Clearance Requirement: Willing to obtain a security clearance

\nKey Responsibilities\n

Design, implement, and manage secure and scalable cloud infrastructure using GCP.
Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
Support CI/CD pipeline automation, integration, and management.
Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

Willing to obtain a security clearance.
4+ years of experience in cloud engineering, with at least 2 years on GCP.
Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
Experience working in an Agile/Scrum environment.

Preferred Skills

GCP Professional Cloud Architect or DevOps Engineer certification.
Experience supporting federal government contracts and understanding of ATO processes.
Familiarity with other cloud platforms (AWS, Azure) is a plus.
Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

","hiringOrganization":{"@type":"Organization","name":"LightFeather","sameAs":"https://lightfeather.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Assistant Manager - Google Cloud Platform","datePosted":"2025-07-16","description":"

About KPMG in India

GCP \n
\n\n\n\n\n
Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
\n\n\n\nB.E","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Solutions Architect, Google Cloud Platform","datePosted":"2025-08-08","description":"

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
5 years of experience in solution engineering.
3 years of experience in stakeholder management, professional services, or technical consulting.
3 years of experience in system architecture and reading code (e.g., Python).

Preferred qualifications:

Master's degree in Engineering, Computer Science, or related technical fields.
Experience with community involvement, volunteering or mentorship.
Knowledge of public clouds including platform and infrastructure as a service.
Ability to lead and organize the design and implementation of AI-based custom developed cloud solutions.
Ability to educate on behalf of the Google Cloud Platform.

About the job

As an EMEA Solutions Architect with a focus on Security and Infrastructure Modernization, you will create and publish reference architectures, code samples, and decks to help the customers solve their security and infrastructure issues. We work with a variety of teams from Solution Management, Product, and Customer Engineering to create technical materials for GTM motions. In addition, we work with customers to validate our approach and meet customers where they are.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

Facilitate technical discussions with customers, partners, and Googlers.
Provide subject matter expertise around public cloud, security, and Infrastructure, and promote Google Cloud with customers, at conferences, and online.
Support account managers and Sales Engineering teams as needed through all phases of customer engagement.
Create and deliver recommendations, tutorials, blog posts, sample code, and presentations adapted for technical and business stakeholders.
Provide customer and market feedback to Product and Engineering teams to help support product outlook.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Assistant Manager - Google Cloud Platform","datePosted":"2025-08-05","description":"

About KPMG in India

yes \n
\n\n\n\n\n
Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
\n\n\n\nBE","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Google Cloud Platform Engineer, Lead","datePosted":"2025-08-22","description":"Google Cloud Platform Engineer, Lead

Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

8+ years of experience working with cloud technologies
6+ years of experience in cloud applications and managing infrastructure in an enterprise environment
Experience working with applications or resources in Google Cloud
Knowledge of networking, storage, computer, and database fundamentals
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice If You Have:

Experience with Software Development Lifecycles and Agile best practices
Experience managing Containers or Virtual Machines
Experience using Git, GitHub, GitLab, Harness, or Jenkins
Experience with scripting tools such as Bash, PowerShell, JSON, and Python
Knowledge of IAC tools such as Terraform
Google Cloud Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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Grow your skills at the leading edge of innovation.

Join us. The world can't wait.

You Have:

5+ years of experience working with cloud technologies
4+ years of experience in cloud applications and managing infrastructure in an enterprise environment
Experience working with applications or resources in Google Cloud
Knowledge of networking, storage, computer, and database fundamentals
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice If You Have:

Experience with Software Development Lifecycles and Agile best practices
Experience managing Containers or Virtual Machines
Experience using Git, GitHub, GitLab, Harness, or Jenkins
Experience with scripting tools such as Bash, PowerShell, JSON, and Python
Knowledge of IAC tools such as Terraform
Google Cloud Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in outbound product management or related technical/product roles.
3 years of experience in taking technical products from conception to launch.
Experience translating commercial business models/needs into technical solutions.

Preferred qualifications:

Bachelor’s degree in Software, Business Management, or equivalent practical experience.
10 years of experience in product management, including providing product outlook, strategy development, data-influenced product planning, prioritization and directing product launches from conception through launch with a focus on enterprise software or cloud services.
Experience working with cross-functional and cross-product area partners.
Track record of successfully launching and managing enterprise software products.
Understanding of Quote to Cash and Finance processes.
Strong problem-solving skills, with the ability to translate complex business requirements into actionable product plans.

About the job

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

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

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

As a Product Manager for Google Cloud, you will lead the Transact product platform solutions. This critical role entails defining and executing the product outlook, strategy, roadmap, and implementation for our transact solutions, thereby ensuring streamlined and compliant processes. You will be at the forefront of innovation, influencing the cloud platform strategy, and engaging closely with cross-functional teams, including engineering, sales, finance, and operations, to enhance transact operations and facilitate Cloud business strategies.

In this role, you will leverage your domain knowledge and product expertise to develop comprehensive, end-to-end transact platform solutions. You will facilitate the scalability of the Cloud business. This involves creating solutions that support unique and complex business models, while simultaneously simplifying and standardizing Q2C, finance, accounting, and compliance requirements for both Cloud and Alphabet.

The US base salary range for this full-time position is $156,000-$229,000 + 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

Set the roadmap, gather requirements, identify risks, and work with all the stakeholders to deliver the best of Quote to Cash products.
Launch new products and features, test their performance, and iterate quickly. Drive positioning and launch strategy for our solutions.
Develop innovative solutions to hard problems by collaborating as needed across regions, areas, and functions.
Own product requirement documents. Build detailed enablement content for new solutions.
Understand how users and customers derive value from Cloud business platform solutions, establishing domain expertise inside and outside Google on customer use cases and requirements.

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
Experience engaging with, and presenting to technical stakeholders and executive leaders.

Preferred qualifications:

Experience in migrating applications and services to cloud platforms.
Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing.
Experience prospecting, building and maintaining customer relationships from scratch, for building out Greenfield territories.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical sales teams to differentiate Google Cloud. You will help customers understand its power, solve business issues with tailored solutions, conduct proof-of-concept and resolve technical roadblocks. You will apply your technical expertise and communication skills to understand customer needs and deliver practical Google Cloud solutions. You will focus on infrastructure modernization and data analytics, collaborating with Google teams.

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.
The US base salary range for this full-time position is $147,000-$218,000 + 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.
The US base salary range for this full-time position is $147,000-$218,000 + 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

Identify and qualify business opportunities by working with the team to understand key customer technical objections and develop solutions to resolve technical blockers.
Apply in-depth Google Cloud expertise to support technical customer relationships, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
Build and deploy Google Cloud products integrations directly in customer and partner environments.
Design integration, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution on Google Cloud.
Drive prospecting and acquisition of new logos, creating and building customer relationships from scratch and establishing as a trusted advisor on long-term technology and business decisions.

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Location:

4910 Tiedeman Road - Brooklyn, Ohio 44144

Job Description

“This position is not eligible for employment visa sponsorship”

This role is a hybrid position with an onsite expectation in one of our locations.

ABOUT THE JOB

The Analytics Enablement team, part of the Enterprise Data & Analytics Services, is on a mission to transform KeyBank into an innovative, insights-driven enterprise. We empower decision-makers across the organization by supporting modern analytics tools, delivering robust training, managing metadata, and deploying next-generation analytics capabilities.

As a GCP Tools Senior Analyst, you will play a pivotal role in supporting and advancing our analytics and advanced analytics functions to align with organizational goals. You will provide technical support, training, and innovation leadership; Especially around open-source and Google Cloud Platform (GCP) technologies. This role is ideal for someone passionate about enabling data-driven decision-making and building scalable, modern analytics infrastructure.

ESSENTIAL JOB FUNCTIONS

Collaborate with cross-functional teams to support and enhance analytics and advanced analytics technologies, with a focus on open-source and GCP-based solutions.
Provide technical support and training to end-users on open-source tools and platforms.
Design and implement GCP-based infrastructure to support analytics and modeling teams.
Evaluate and integrate innovative technologies to enhance enterprise analytics capabilities.
Partner with data scientists, solution architects, cloud engineers and business teams to design ML infrastructure, validate data quality.
Ensure tight integration with BI data engineers, data architects, and ETL developers to support end-to-end analytics workflows.
Guide analytics teams in selecting and integrating appropriate tools and methods for advanced modeling and decision support.
Maintain a strong focus on Organizational Change Management to ensure stakeholders are appropriately engaged and empowered through communications, training, and collaboration.

REQUIRED QUALIFICATIONS

Advanced degree in Computer Science, Decision Science, or equivalent experience.
5 years of experience in advanced analytics, data science, or open-source computing infrastructure.
4 years of hands-on experience with Google Cloud Platform (GCP) architecture and services.
Minimum 3 years of experience designing solutions for analytics or advanced modeling teams.

Technical Skills

A broad, enterprise-wide view of the business and strong mind for building strategy, streamlining processes and enabling analytics capabilities and governance
Strong experience applying architectural principles to business challenges and create technical roadmaps and requirements documentation
Proven track record for recognizing pain points within the organization, functional interdependencies and cross-silo redundancies
Ability to understand and recognize the economics of analytics technology and the business goals
Mastery of Python and data science libraries and best practices.
Strong experience with GCP data warehousing and processing technologies such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
Experience with GCP storage solutions such as Cloud Storage and BigLake, and data formats like Parquet, JSON, ORC, Avro.
Proficiency in databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL.
Experience with SparkSQL, Spark MLlib, and third-party machine learning algorithms such as XGBoost and LightGBM using PySpark.
Familiarity with SAS and Linux/Unix environments.
Understanding of web technologies and modern data architecture.
Knowledge of advanced technologies, including machine learning, NLP, and streaming analytics.

Soft Skills

Experience operating in Scrum Project Management and traditional project management, able to adjust plans as needed and escalate / manage risks in a timely manner
Comfortable multi-tasking, highly flexible, and highly motivated to provide stellar customer service and support
Exceptional communication skills and the ability to interact, collaborate, and present to all levels of the organization
Ability to curate training roadmaps that empower analysts with the proper skills to advance the organization’s goals and create / maintain appropriate instructional aids
Ability to lead Advanced Analytics user group by identifying opportunistic topics aligned with strategic goals and organizing cross-functional presenters, including technical and business partners
Candidate must be a self-starter and creative problem-solver with an innovative and curious mindset
Strong ability to identify and manage risks and escalate appropriately and timely
Strong situational analysis and decision-making abilities

Preferences

Exposure to or hands-on experience with other BI / visualizations platforms like Microsoft Fabric / Power BI, Tableau, and/or Looker helpful
Professional Cloud Architect certification preferred
Financial and/or Banking background preferred

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties. If located near a KeyBank location, the position in the future may work partially from a Key facility. If not located near a Key facility, team will consider remote workers.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $79,000 to $120,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance

Please click here for a list of benefits for which this position is eligible.

Job Posting Expiration Date: 08/28/2025\n\nKeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. 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.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

At Kyndryl, we’re transforming how businesses operate through cloud innovation. As a Business Execution Lead for Google Cloud Platform (GCP), you will help shape that transformation.

You will define and drive digital transformation strategy and solutions with our clients on GCP. You’ll use your deep GCP expertise to design solutions that solve real business challenges and guide customers through their digital transformation journey. You will also lead program execution across sales to drive pipeline, delivery, and capability development, working with global teams and strategic partners to deliver meaningful results.

If you enjoy fast-paced environments, connecting strategy with execution, and building a career in a company that values bold thinking and collaboration, this role is for you.

What you’ll be doing

As the Business Execution Lead, you’ll be the driving force behind our global GCP programs. You’ll:

Lead program strategy and execution: Coordinate and manage the global GCP strategy, ensuring alignment across countries, customers, and internal teams.
Analyze pipeline and project data: Track sales pipeline and project milestones to identify opportunities, risks, and areas for intervention.
Engage stakeholders across the business: Collaborate with Cloud Practice leaders, Alliances, Country teams, CTOs, and external partners to ensure seamless execution.
Run governance and competency processes: Lead GCP governance forums and drive growth through structured collaboration with alliance partners.
Deliver key programs: Oversee initiatives like sales/technical enablement, executive sponsorship, onboarding improvements, and adoption of GCP innovations.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career, from Junior Administrator to Architect. We have training and upskilling programs that you find anywhere else, including hands-on experience, learning opportunities, and the change to certify in all four major platforms. One of the benefits of Kyndryl is that we work with customers in a variety of industries, from banking to retail. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

Bachelor’s degree in Business, Engineering, Computer Science, or related field
15+ years of experience in business development and architecting solutions
2+ years of experience managing complex GCP programs or projects
Strong understanding of sales pipeline and capability development processes
Proficiency in program management tools and methodologies (e.g., Agile, PMI)
Excellent communication, leadership, and stakeholder engagement skills

Preferred Skills and Experience

Master’s degree in a relevant field
PMP certification or equivalent
Experience working directly with Google Cloud or other hyperscalers
Familiarity with onboarding and delivery processes in cloud environments
Strategic thinking and ability to manage ambiguity in a global matrixed organization

The compensation range for the position in the U.S. is $173,280 to $329,280 based on a full-time schedule.

Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.

There is a different applicable compensation range for the following work locations:

California: $190,560 to $395,040

Colorado: $173,280 to $329,280

New York City: $207,840 to $395,040

Washington: $190,560 to $362,160

Washington DC: $190,560 to $362,160

This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program.

Applications will be accepted on a rolling basis.

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

Know Your Rights: Workplace Discrimination is Illegal

Pay Transparency Nondiscrimination Provision

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in one or more of the following: sales, client relationship, or account management.
Experience in technology sales and developing relationships with current business customers.

Preferred qualifications:

Experience managing multiple tasks with shifting priorities and varying deadlines.
Experience prioritizing, planning, and organizing sales activity within business cycles, including qualifying accounts and leveraging partner ecosystems.
Experience with cloud computing.

About the job

The Google Cloud Small/Medium Businesses (SMB) team focuses on working with small and medium-sized businesses, startups, and digital native customers.

As an Account Manager, you will help to develop the business, bring Google's portfolio into SMB companies around the world, and manage customer and stakeholder relationships.

The US base salary range for this full-time position is $78,500-$112,000 + 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.

As an Account Manager, you will help to develop the business, bring Google's portfolio into SMB companies around the world, and manage customer and stakeholder relationships.

Responsibilities

Manage a portfolio of existing Google Cloud customers to maintain and grow their existing business.
Work with business partners to generate business opportunities within their customer base.
Identify opportunities to advocate for other parts of the Google product and services portfolio.
Share customer feedback with Product and Marketing to improve the overall customer experience.

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Construisons ensemble un avenir de confiance

Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif. Le Groupe investit près de 4 milliards d’euros par an en Recherche & Développement, notamment dans des domaines clés de l’innovation tels que l’IA, la cybersécurité, le quantique, les technologies du cloud et la 6G. Thales compte près de 81 000 collaborateurs dans 68 pays.

Nos engagements, vos avantages

Une réussite portée par notre excellence technologique, votre expérience et notre ambition partagée
Un package de rémunération attractif
Un développement des compétences en continu : parcours de formation, académies et communautés internes
Un environnement inclusif, bienveillant et respectant l’équilibre des collaborateurs
Un engagement sociétal et environnemental reconnu

Votre quotidien

En rejoignant le site de Toulouse, vous intégrez un site regroupant nos solutions de cyberdéfense souveraines pour faire face aux menaces informatiques croissantes et nos activités de services numériques permettant d’opérer les systèmes d’informations critiques de nos clients et de les accompagner dans leur transformation numérique sécurisée.

Basé au sein du campus Thales de Labège aux portes de Toulouse, dans un environnement dynamique et innovant, vous serez au cœur de notre transformation digitale et de l'évolution de nos infrastructures cloud.

Campus moderne avec espaces de travail collaboratifs
Restaurant d'entreprise et cafétéria
Salle de sport et installations sportives
Espaces verts et terrasses
Proximité immédiate du centre commercial Labège
Accessible facilement en vélo depuis le Canal du Midi
Future station de métro ligne C à 300 mètres du campus
Télétravail partiel

Nous recherchons un Tech Lead expérimenté en Google Cloud Platform (GCP) pour rejoindre notre équipe dynamique.

Responsabilités principales :

- Conception, du développement et de la mise en œuvre de solutions cloud innovantes, dès les phases d'appel d'offres jusqu'à la mise en œuvre finale.

- Vous collaborerez étroitement avec les équipes de projet, les clients et les parties prenantes pour garantir la réussite des projets.

Vos compétences techniques avancées en GCP, ainsi que votre capacité à gérer des équipes et à prendre des décisions stratégiques, seront essentielles pour mener à bien des projets complexes et assurer la satisfaction de nos clients.

Rejoignez-nous et contribuez à l'innovation technologique au sein de Thales.

Votre profil

Profil expérimenté avec une formation supérieure en informatique de niveau Bac+5, vous justifiez d'une expérience significative d'au moins 4 ans en architecture de systèmes d'information, dont 2 années minimum dédiées à Google Cloud Platform.

Vous êtes certifié(e) GCP Professional Cloud Architect ou GCP Professional Security Engineer et possédez les compétences majoritairement suivantes :

Expertise approfondie de Google Cloud Platform et de ses mécanismes de sécurité
Maîtrise des services GCP : Cloud Identity, Security Command Center, Cloud KMS, Cloud HSM
Utilisation d’outils cybersécurité en environnement Cloud (CSPM)
Expérience significative en sécurité des systèmes d'information
Expertise en architecture Zero Trust et en solutions de chiffrement
Maîtrise des conteneurs et de Kubernetes (GKE)
Compétences en Infrastructure as Code (Terraform) et en automatisation
Excellentes capacités d'analyse et de gestion des risques en phase d’offre, comme de delivery
Leadership et capacité à porter la transformation
Force de proposition et d'innovation
Excellentes qualités relationnelles et capacité à travailler avec des équipes multiculturelles

De plus, une bonne maîtrise de l'anglais est indispensable pour interagir efficacement avec nos équipes internationales et nos partenaires.

Une connaissance des normes et réglementations (ISO 27001, HDS, SecNumCloud) serait un plus

Une expérience actuelle ou passée en tant que Product Owner sera un plus.

Thales, entreprise Handi-Engagée, reconnait tous les talents. La diversité est notre meilleur atout. Postulez et rejoignez nous !

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Company Description

We're an award-winning Google Cloud partner. We're the experts in transforming businesses and shaping the future of cloud technology. Join us and collaborate with top minds, build groundbreaking solutions, and make a real difference for our clients. Enjoy extensive professional development, global reach, and a supportive, Google-inspired culture. If you're passionate about the cloud, this is where you want to be.

With over 13 years of experience in Google Cloud under our belt, offices in 18 countries and more than 600 experts, we have deployed practical innovation alongside Google. We focus on infrastructure modernisation, data management, smart analytics, application modernisation, and AI & machine learning.

Curious about our projects? We got you: Check out our success stories

Job Description

We are seeking a highly motivated and experienced Presales Engineer with a strong background in Google Cloud Platform (GCP) to join our dynamic team in the Nordics. In this crucial role, you will act as the technical expert during the sales process, bridging the gap between complex technical solutions and tangible business value for our clients. You will work closely with sales, delivery, and product teams to design and articulate compelling GCP solutions that address client needs and drive successful outcomes.

Key Responsibilities

Technical Expertise & Solutioning

Serve as the primary technical subject matter expert for Google Cloud Platform (GCP) solutions, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and other core services.
Understand cloud architecture principles such as microservices, serverless computing, and infrastructure management.
Conduct in-depth technical discovery sessions with prospective clients to understand their business challenges and technical requirements.
Design and propose tailored GCP solutions that align with client needs, demonstrating how these solutions will meet their objectives and deliver measurable value.
Develop and present compelling proof-of-concept (PoC) solutions and demonstrations to showcase GCP capabilities.

Sales Enablement & Support

Collaborate closely with the sales team, providing technical support and strategic input throughout the sales cycle.
Create high-quality Statements of Work (SoWs), technical proposals, and responses to RFIs/RFPs, ensuring accuracy and clarity.
Assist in understanding the commercial, cost, and financial impact of proposed solutions, recommending appropriate approaches for client proposals.
Take ownership of presales engagements, ensuring a well-structured and organized approach.

Client Engagement & Communication

Build and maintain strong, trusted relationships with clients, acting as a credible advisor.
Deliver engaging and clear presentations, explaining complex technical concepts to both technical and non-technical audiences.
Practice active listening to deeply understand client needs and translate them into effective Google Cloud solutions.

Market & Industry Knowledge

Stay current with the latest trends, developments, and best practices in Google Cloud Platform and the broader cloud industry.
Maintain awareness of competitor offerings (e.g., AWS, Azure) to effectively highlight Google Cloud's advantages.

Qualifications

A minimum of 2-4 years of experience as a Google Cloud Architect or in a similar technical role, with hands-on experience in GCP services.
Proven experience in a presales or technical consulting capacity.
Deep understanding and practical experience with core GCP services (e.g., Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Networking, Security).
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts clearly and concisely.
Strong analytical and problem-solving abilities, with a results-oriented approach.
Demonstrated ability to work in a structured and organized manner, managing multiple priorities effectively.
Fluent in English; additional Nordic language skills are a significant advantage.
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Engineer, Professional Data Engineer, Professional Machine Learning Engineer) are highly desirable.
Familiarity with Google Workspace solutions is a plus, but not a requirement.

Additional Information

Why Choose Devoteam G Cloud?

Innovative Impact: Work on the forefront of cloud technology at a globally recognized leader in Google Cloud solutions.
Direct Google Connection: Collaborate closely with Google teams, shaping the future of cloud and AI.
Unleash Your Expertise: Thrive in a fast-paced environment where sharing knowledge and success is paramount.
End-to-End Impact: Drive complete business transformations, from strategy to implementation and beyond.
Accelerate Your Career: Grow within a Google-inspired culture, gaining specialisations and certifications.

We do plenty of activities, like meet-ups, hackathons, and partnerships. Don’t lose any of them: follow us on LinkedIn

Benefits

Encouragement and support for training and certification, in the form of coaching from other team members, cost coverage, and financial incentives.
Challenging and rewarding assignments, many of which are end-to-end.
A hybrid work model as standard, with flexible working hours and location to support your work-life balance.
An international, diverse, and inclusive team.
A human-centric and value-based company culture.
Full provision of work tools.
A variety of social events.

Our culture is based on continuous learning and career development, supported by a genuine, inclusive, and expert team that really loves pizza.

Want to know more about life at Devoteam? Check our Instagram page

Is this not the right position for you? Don’t worry, we have plenty of opportunities! Check out our Career page

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sentrum, Oslo, Norway","addressCountry":"Norway","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Presales Engineer, Google Cloud Platform (GCP) - Nordics","datePosted":"2025-08-05","description":"

Company Description

Curious about our projects? We got you: Check out our success stories

Job Description

Key Responsibilities

Technical Expertise & Solutioning

Serve as the primary technical subject matter expert for Google Cloud Platform (GCP) solutions, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and other core services.
Understand cloud architecture principles such as microservices, serverless computing, and infrastructure management.
Conduct in-depth technical discovery sessions with prospective clients to understand their business challenges and technical requirements.
Design and propose tailored GCP solutions that align with client needs, demonstrating how these solutions will meet their objectives and deliver measurable value.
Develop and present compelling proof-of-concept (PoC) solutions and demonstrations to showcase GCP capabilities.

Sales Enablement & Support

Collaborate closely with the sales team, providing technical support and strategic input throughout the sales cycle.
Create high-quality Statements of Work (SoWs), technical proposals, and responses to RFIs/RFPs, ensuring accuracy and clarity.
Assist in understanding the commercial, cost, and financial impact of proposed solutions, recommending appropriate approaches for client proposals.
Take ownership of presales engagements, ensuring a well-structured and organized approach.

Client Engagement & Communication

Build and maintain strong, trusted relationships with clients, acting as a credible advisor.
Deliver engaging and clear presentations, explaining complex technical concepts to both technical and non-technical audiences.
Practice active listening to deeply understand client needs and translate them into effective Google Cloud solutions.

Market & Industry Knowledge

Stay current with the latest trends, developments, and best practices in Google Cloud Platform and the broader cloud industry.
Maintain awareness of competitor offerings (e.g., AWS, Azure) to effectively highlight Google Cloud's advantages.

Qualifications

A minimum of 2-4 years of experience as a Google Cloud Architect or in a similar technical role, with hands-on experience in GCP services.
Proven experience in a presales or technical consulting capacity.
Deep understanding and practical experience with core GCP services (e.g., Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Networking, Security).
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts clearly and concisely.
Strong analytical and problem-solving abilities, with a results-oriented approach.
Demonstrated ability to work in a structured and organized manner, managing multiple priorities effectively.
Fluent in English; additional Nordic language skills are a significant advantage.
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Engineer, Professional Data Engineer, Professional Machine Learning Engineer) are highly desirable.
Familiarity with Google Workspace solutions is a plus, but not a requirement.

Additional Information

Why Choose Devoteam G Cloud?

Innovative Impact: Work on the forefront of cloud technology at a globally recognized leader in Google Cloud solutions.
Direct Google Connection: Collaborate closely with Google teams, shaping the future of cloud and AI.
Unleash Your Expertise: Thrive in a fast-paced environment where sharing knowledge and success is paramount.
End-to-End Impact: Drive complete business transformations, from strategy to implementation and beyond.
Accelerate Your Career: Grow within a Google-inspired culture, gaining specialisations and certifications.

We do plenty of activities, like meet-ups, hackathons, and partnerships. Don’t lose any of them: follow us on LinkedIn

Benefits

Encouragement and support for training and certification, in the form of coaching from other team members, cost coverage, and financial incentives.
Challenging and rewarding assignments, many of which are end-to-end.
A hybrid work model as standard, with flexible working hours and location to support your work-life balance.
An international, diverse, and inclusive team.
A human-centric and value-based company culture.
Full provision of work tools.
A variety of social events.

Our culture is based on continuous learning and career development, supported by a genuine, inclusive, and expert team that really loves pizza.

Want to know more about life at Devoteam? Check our Instagram page

Is this not the right position for you? Don’t worry, we have plenty of opportunities! Check out our Career page

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Company Description

Curious about our projects? We got you: Check out our success stories

Job Description

Key Responsibilities

Technical Expertise & Solutioning

Serve as the primary technical subject matter expert for Google Cloud Platform (GCP) solutions, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and other core services.
Understand cloud architecture principles such as microservices, serverless computing, and infrastructure management.
Conduct in-depth technical discovery sessions with prospective clients to understand their business challenges and technical requirements.
Design and propose tailored GCP solutions that align with client needs, demonstrating how these solutions will meet their objectives and deliver measurable value.
Develop and present compelling proof-of-concept (PoC) solutions and demonstrations to showcase GCP capabilities.

Sales Enablement & Support

Collaborate closely with the sales team, providing technical support and strategic input throughout the sales cycle.
Create high-quality Statements of Work (SoWs), technical proposals, and responses to RFIs/RFPs, ensuring accuracy and clarity.
Assist in understanding the commercial, cost, and financial impact of proposed solutions, recommending appropriate approaches for client proposals.
Take ownership of presales engagements, ensuring a well-structured and organized approach.

Client Engagement & Communication

Build and maintain strong, trusted relationships with clients, acting as a credible advisor.
Deliver engaging and clear presentations, explaining complex technical concepts to both technical and non-technical audiences.
Practice active listening to deeply understand client needs and translate them into effective Google Cloud solutions.

Market & Industry Knowledge

Stay current with the latest trends, developments, and best practices in Google Cloud Platform and the broader cloud industry.
Maintain awareness of competitor offerings (e.g., AWS, Azure) to effectively highlight Google Cloud's advantages.

Qualifications

A minimum of 2-4 years of experience as a Google Cloud Architect or in a similar technical role, with hands-on experience in GCP services.
Proven experience in a presales or technical consulting capacity.
Deep understanding and practical experience with core GCP services (e.g., Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Networking, Security).
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts clearly and concisely.
Strong analytical and problem-solving abilities, with a results-oriented approach.
Demonstrated ability to work in a structured and organized manner, managing multiple priorities effectively.
Fluent in English; additional Nordic language skills are a significant advantage.
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Engineer, Professional Data Engineer, Professional Machine Learning Engineer) are highly desirable.
Familiarity with Google Workspace solutions is a plus, but not a requirement.

Additional Information

Why Choose Devoteam G Cloud?

Innovative Impact: Work on the forefront of cloud technology at a globally recognized leader in Google Cloud solutions.
Direct Google Connection: Collaborate closely with Google teams, shaping the future of cloud and AI.
Unleash Your Expertise: Thrive in a fast-paced environment where sharing knowledge and success is paramount.
End-to-End Impact: Drive complete business transformations, from strategy to implementation and beyond.
Accelerate Your Career: Grow within a Google-inspired culture, gaining specialisations and certifications.

We do plenty of activities, like meet-ups, hackathons, and partnerships. Don’t lose any of them: follow us on LinkedIn

Benefits

Encouragement and support for training and certification, in the form of coaching from other team members, cost coverage, and financial incentives.
Challenging and rewarding assignments, many of which are end-to-end.
A hybrid work model as standard, with flexible working hours and location to support your work-life balance.
An international, diverse, and inclusive team.
A human-centric and value-based company culture.
Wellness grants for sports activities (5,000 SEK/year).
A modern office in central Stockholm.
Full provision of work tools.
A variety of social events.

Our culture is based on continuous learning and career development, supported by a genuine, inclusive, and expert team that really loves pizza.

Want to know more about life at Devoteam? Check our Instagram page

Is this not the right position for you? Don’t worry, we have plenty of opportunities! Check out our Career page

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm, Stockholms län, Sweden","addressCountry":"Sweden","addressRegion":"Europe"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Presales Engineer, Google Cloud Platform (GCP) - Nordics","datePosted":"2025-08-12","description":"

Company Description

Curious about our projects? We got you: Check out our success stories

Job Description

Key Responsibilities

Technical Expertise & Solutioning

Serve as the primary technical subject matter expert for Google Cloud Platform (GCP) solutions, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and other core services.
Understand cloud architecture principles such as microservices, serverless computing, and infrastructure management.
Conduct in-depth technical discovery sessions with prospective clients to understand their business challenges and technical requirements.
Design and propose tailored GCP solutions that align with client needs, demonstrating how these solutions will meet their objectives and deliver measurable value.
Develop and present compelling proof-of-concept (PoC) solutions and demonstrations to showcase GCP capabilities.

Sales Enablement & Support

Collaborate closely with the sales team, providing technical support and strategic input throughout the sales cycle.
Create high-quality Statements of Work (SoWs), technical proposals, and responses to RFIs/RFPs, ensuring accuracy and clarity.
Assist in understanding the commercial, cost, and financial impact of proposed solutions, recommending appropriate approaches for client proposals.
Take ownership of presales engagements, ensuring a well-structured and organized approach.

Client Engagement & Communication

Build and maintain strong, trusted relationships with clients, acting as a credible advisor.
Deliver engaging and clear presentations, explaining complex technical concepts to both technical and non-technical audiences.
Practice active listening to deeply understand client needs and translate them into effective Google Cloud solutions.

Market & Industry Knowledge

Stay current with the latest trends, developments, and best practices in Google Cloud Platform and the broader cloud industry.
Maintain awareness of competitor offerings (e.g., AWS, Azure) to effectively highlight Google Cloud's advantages.

Qualifications

A minimum of 2-4 years of experience as a Google Cloud Architect or in a similar technical role, with hands-on experience in GCP services.
Proven experience in a presales or technical consulting capacity.
Deep understanding and practical experience with core GCP services (e.g., Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Networking, Security).
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts clearly and concisely.
Strong analytical and problem-solving abilities, with a results-oriented approach.
Demonstrated ability to work in a structured and organized manner, managing multiple priorities effectively.
Fluent in English; additional Nordic language skills are a significant advantage.
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Engineer, Professional Data Engineer, Professional Machine Learning Engineer) are highly desirable.
Familiarity with Google Workspace solutions is a plus, but not a requirement.

Additional Information

Why Choose Devoteam G Cloud?

Innovative Impact: Work on the forefront of cloud technology at a globally recognized leader in Google Cloud solutions.
Direct Google Connection: Collaborate closely with Google teams, shaping the future of cloud and AI.
Unleash Your Expertise: Thrive in a fast-paced environment where sharing knowledge and success is paramount.
End-to-End Impact: Drive complete business transformations, from strategy to implementation and beyond.
Accelerate Your Career: Grow within a Google-inspired culture, gaining specialisations and certifications.

We do plenty of activities, like meet-ups, hackathons, and partnerships. Don’t lose any of them: follow us on LinkedIn

Benefits

Encouragement and support for training and certification, in the form of coaching from other team members, cost coverage, and financial incentives.
Challenging and rewarding assignments, many of which are end-to-end.
A hybrid work model as standard, with flexible working hours and location to support your work-life balance.
An international, diverse, and inclusive team.
A human-centric and value-based company culture.
Full provision of work tools.
A variety of social events.

Our culture is based on continuous learning and career development, supported by a genuine, inclusive, and expert team that really loves pizza.

Want to know more about life at Devoteam? Check our Instagram page

Is this not the right position for you? Don’t worry, we have plenty of opportunities! Check out our Career page

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"København, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Presales Engineer, Google Cloud Platform (GCP) - Nordics","datePosted":"2025-08-11","description":"

Company Description

Curious about our projects? We got you: Check out our success stories

Job Description

Key Responsibilities

Technical Expertise & Solutioning

Serve as the primary technical subject matter expert for Google Cloud Platform (GCP) solutions, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and other core services.
Understand cloud architecture principles such as microservices, serverless computing, and infrastructure management.
Conduct in-depth technical discovery sessions with prospective clients to understand their business challenges and technical requirements.
Design and propose tailored GCP solutions that align with client needs, demonstrating how these solutions will meet their objectives and deliver measurable value.
Develop and present compelling proof-of-concept (PoC) solutions and demonstrations to showcase GCP capabilities.

Sales Enablement & Support

Collaborate closely with the sales team, providing technical support and strategic input throughout the sales cycle.
Create high-quality Statements of Work (SoWs), technical proposals, and responses to RFIs/RFPs, ensuring accuracy and clarity.
Assist in understanding the commercial, cost, and financial impact of proposed solutions, recommending appropriate approaches for client proposals.
Take ownership of presales engagements, ensuring a well-structured and organized approach.

Client Engagement & Communication

Build and maintain strong, trusted relationships with clients, acting as a credible advisor.
Deliver engaging and clear presentations, explaining complex technical concepts to both technical and non-technical audiences.
Practice active listening to deeply understand client needs and translate them into effective Google Cloud solutions.

Market & Industry Knowledge

Stay current with the latest trends, developments, and best practices in Google Cloud Platform and the broader cloud industry.
Maintain awareness of competitor offerings (e.g., AWS, Azure) to effectively highlight Google Cloud's advantages.

Qualifications

A minimum of 2-4 years of experience as a Google Cloud Architect or in a similar technical role, with hands-on experience in GCP services.
Proven experience in a presales or technical consulting capacity.
Deep understanding and practical experience with core GCP services (e.g., Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Networking, Security).
Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts clearly and concisely.
Strong analytical and problem-solving abilities, with a results-oriented approach.
Demonstrated ability to work in a structured and organized manner, managing multiple priorities effectively.
Fluent in English; additional Nordic language skills are a significant advantage.
Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Engineer, Professional Data Engineer, Professional Machine Learning Engineer) are highly desirable.
Familiarity with Google Workspace solutions is a plus, but not a requirement.

Additional Information

Why Choose Devoteam G Cloud?

Innovative Impact: Work on the forefront of cloud technology at a globally recognized leader in Google Cloud solutions.
Direct Google Connection: Collaborate closely with Google teams, shaping the future of cloud and AI.
Unleash Your Expertise: Thrive in a fast-paced environment where sharing knowledge and success is paramount.
End-to-End Impact: Drive complete business transformations, from strategy to implementation and beyond.
Accelerate Your Career: Grow within a Google-inspired culture, gaining specialisations and certifications.

We do plenty of activities, like meet-ups, hackathons, and partnerships. Don’t lose any of them: follow us on LinkedIn

Benefits

Encouragement and support for training and certification, in the form of coaching from other team members, cost coverage, and financial incentives.
Challenging and rewarding assignments, many of which are end-to-end.
A hybrid work model as standard, with flexible working hours and location to support your work-life balance.
An international, diverse, and inclusive team.
A human-centric and value-based company culture.
Full provision of work tools.
A variety of social events.

Our culture is based on continuous learning and career development, supported by a genuine, inclusive, and expert team that really loves pizza.

Want to know more about life at Devoteam? Check our Instagram page

Is this not the right position for you? Don’t worry, we have plenty of opportunities! Check out our Career page

","hiringOrganization":{"@type":"Organization","name":"Devoteam","sameAs":"https://www.devoteam.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sentrum, Oslo, Norway","addressCountry":"Norway","addressRegion":"Europe"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Python Developer with Google Cloud Platform experience","datePosted":"2025-08-26","description":"

With over 25 years of experience in the industry, NEORIS an EPAM Company offers a specialized technical career path to support and develop its most valuable asset: its people. Our goal is to continue growing, and to achieve that, we want you to join us and help us improve every day.

We’re expanding our teams and looking for individuals who share our culture and values, including responsibility, collaboration and teamwork, creativity, and dedication. If you’re passionate about continuous learning, specialization, and contributing to projects using the latest technologies, don’t hesitate to get in touch with us.

Moreover, our evaluation processes focus on professionals’ experience and knowledge, as well as their motivation and soft skills. We are committed to inclusion and provide equal employment opportunities.

e are looking for an experienced Python Developer with solid expertise in Google Cloud Platform (GCP) to join our team. The ideal candidate will design, develop, and deploy scalable solutions in the cloud, contributing to innovative projects with a strong focus on performance and reliability.

Requirements

\n
Proven experience in Python development (design, coding, testing, and debugging).
\n
\n
Hands-on experience with Google Cloud Platform (GCP) services (e.g., Cloud Functions, Pub/Sub, BigQuery, Cloud Storage, Cloud Run).
\n
\n
Strong understanding of cloud-native architectures, microservices, and API development.
\n
\n
Familiarity with CI/CD pipelines, containers (Docker, Kubernetes), and version control systems (Git).
\n
\n
Good communication skills and ability to work in collaborative, agile environments.
\n

Responsibilities

\n
Develop, test, and maintain Python applications deployed on GCP.
\n
\n
Design and implement scalable and efficient cloud-based solutions.
\n
\n
Collaborate with cross-functional teams to translate business needs into technical solutions.
\n
\n
Optimize performance, security, and cost efficiency of applications in the cloud.
\n
\n
Ensure best practices in coding, testing, and deployment.
\n

We offer

\n
Exciting projects leveraging the latest in cloud technologies.
\n
\n
A collaborative and international work environment.
\n
\n
Opportunities for growth and professional development.
\n

📩 If you are an experienced Python Developer with expertise in GCP and want to take on new challenges in cloud-based projects, send us your CV and join our team!

#LI-MM4

","hiringOrganization":{"@type":"Organization","name":"NEORIS","sameAs":"https://www.neoris.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Google Cloud Platform (GCP) DevOps Engineer - Associate","datePosted":"2025-08-29","description":"

Job Description:

Job Title DevOps Engineer

Corporate Title Associate

Location Cary, NC

Who we are:

In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

Overview

Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, ESG Risk Mitigation as well as Corporate Sustainability.

As Climate Change throws new Challenges and opportunities, Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Bank’s goals.

As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in Cloud / Hybrid Architecture.

As part of this Role, we are seeking a highly skilled and experienced DevOps Engineer to join our growing team. In this role, you will play a pivotal role in managing and optimizing cloud infrastructure, facilitating continuous integration and delivery, and ensuring system reliability.

What We Offer You

A diverse and inclusive environment that embraces change, innovation, and collaboration
A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
A commitment to Corporate Social Responsibility
Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values
Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
Educational resources, matching gift and volunteer programs

What You’ll Do

Design, implement, and manage scalable and secure cloud infrastructures on Google Cloud Platform (GCP), ensuring cost efficiency
Utilize Infrastructure as Code (IaC) tools like Terraform and Deployment Manager to automate and manage infrastructure deployments
Establish and enforce security protocols, Identity and Access Management (IAM) policies, and compliance measures to protect data and meet organizational requirements
Manage cloud networking components such as Virtual Private Clouds (VPCs), subnets, firewalls, Virtual Private Networks, and interconnects for secure connectivity
Create and maintain continuous integration/continuous deployment (or development) pipelines using tools like Jenkins or GitHub Actions to enable automated and efficient application deployments
Optimize cloud expenditures by leveraging cost-saving strategies like committed use discounts, autoscaling, and resource rightsizing

Skills You’ll Need

Bachelor’s degree or equivalent required
Cloud-native application architecture and deployment
Proficiency with tools like Jenkins, GitLab, Terraform, Docker, Kubernetes, and Ansible for managing infrastructure and applications
Strong experience with (IaC) tools, including Terraform and GCP-native Deployment Manager
Expertise in security practices, IAM policies, and compliance requirements for cloud environments

Skills That Will Help You Excel

Google Cloud certifications such as Associate Cloud Engineer, Professional Cloud Architect, or Professional DevOps Engineer are highly valued
Experience in optimizing cloud environments to enhance performance, cost, and scalability
Ability to stay updated with emerging cloud technologies and best practices within GCP
A proactive and collaborative mindset, thriving in fast-paced environments and working well within cross-functional teams
Strong communication skills to collaborate effectively across various technical and non-technical teams

Expectations

It is the Bank’s expectation that employees hired into this role will work in the Cary office in accordance with the Bank’s hybrid working model.

Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in Cary is $85,000 to $120,750. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home. Click here to learn more!

Learn more about your life at DB through the eyes of our current employees: https://careers.db.com/life

The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice, please email HR.Direct@DB.com.

#LI-HYBRID

We strive for a culture in which we are empowered to excel together every day. This includes acting
responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act.

","hiringOrganization":{"@type":"Organization","name":"Deutsche Bank","sameAs":"https://www.db.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cary, 3000 CentreGreen Way, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Google Cloud Platform Territory Manager III, SMB","datePosted":"2025-09-04","description":"

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in one or more of the following: sales, client relationship, or account management.
Technology sales experience focused on net new customer acquisition.

Preferred qualifications:

Experience with cloud computing platforms and technologies.
Experience managing multiple tasks with shifting priorities and varying deadlines.

About the job

The Google Cloud Small/Medium Businesses (SMB) team focuses on working with small and medium-sized businesses, startups, and digital native customers. In this role, you will help grow Google Cloud business directly and via partners. By showcasing the innovative ability of our products, you will bring opportunities through the full sales process, while delivering the highest quality customer experience.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.

The US base salary range for this full-time position is $78,500-$112,000 + 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

Work with technical promoters and Google Cloud Partners as a key member of the Sales team to optimize business results and growth opportunities with SMB in the Digital Native or Startups space.
Lead assigned territory, working with cross-functional teams in achieving business goals, guiding the entire sales process, managing multiple opportunities simultaneously, and ensuring customer success within territory.
Provide input to internal and external stakeholders.
Manage business development and forecast accurately.
Play a key role in advancing processes and driving impact and meeting and exceeding business goals.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX, USA; Atlanta, GA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Applied AI Researcher","datePosted":"2025-07-20","description":"

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called \"generative AI\" space and invent what is yet to be the future!

If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day.

We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :)

Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!!

RESPONSIBILITIES

Design, implement, and maintain complex AI/NLP models supporting the Verneek AI platform

Requirements

MINIMUM QUALIFICATIONS

MSc. or PhD degree in AI/NLP
4+ years of experience with Python
Good grasp of fundamentals and the state-of-the-art in AI/NLP research
4+ years experience developing models with machine learning frameworks such as PyTorch
Work authorization in the USA at the time of hire

Continuing work authorization during employment can be sponsored by Verneek

PREFERRED QUALIFICATIONS

Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems
Experience in Transfer Learning and learning with limited data
Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc.
Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production
Experience in building models in the commerce/retail domain
Working knowledge of Scala

At Verneek, we are very determined to build a company that promotes diversity of thought that comes from the diversity of the individuals on the team! Candidates from any gender identity, race, color, religion, sexual orientation, national origin, veteran, or disability status are highly encouraged to apply.https://www.verneek.com/culture

Benefits

Stellar medical, dental, vision, disability, and life insurance

Daily private Chef lunch, curated to personal diets

Transportation Benefits

401K matching contributions
Flexible PTO

Visa/Green Card Sponsorship
Career growth support through sponsoring learning opportunities and mentorship

About Verneek

Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: https://www.verneek.com/about-verneek and make sure to watch all our introductory videos and yearly recaps here: https://www.verneek.com/culture.

Verneek Culture

It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: https://www.verneek.com/culture. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together.

Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact.

Annual Salary Range: $40K-$200K

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Why Zania

Every enterprise spends millions of dollars on Governance, Risk, and Compliance (GRC). It's one of the most critical, yet universally painful, parts of running a business. For decades, this industry has been dominated by legacy systems with notoriously low NPS scores, making it totally ripe for disruption.

Zania is building agentic AI for Governance, Risk, and Compliance (GRC) to solve this massive problem. We are on a rocketship trajectory, creating intelligent agents that automate and augment the most complex risk and compliance workflows. We have found exceptional product-market fit and are scaling our team very quickly. Some reasons to join Zania are:

Dream Customers: Our customers are the most notable enterprises in the world, including FAANG, Big 4 firms and a portfolio of top customers.
Tier 1 Backing: Funded by a leading Tier 1 venture capital fund, giving us the resources to build a generational company.
World-Class Team: Zania is hiring the best. Our team includes AI and Security leaders from Airbnb, Microsoft, Bain & Company, Deloitte, PwC, Brex, and Instacart.
Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building the next generation of agentic systems that will define the future of compliance.
Hyper-Growth: We have seen 10x ARR growth in the last year and are rapidly expanding.
Competitive Compensation & Equity.

Role Overview

As an Applied AI Engineer, you will lead the charge in creating AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance (GRC). We are seeking an engineer to build production AI systems with a fanatical focus on accuracy, innovation, and responsible design. You will own and build the AI-native products that set a new global standard for GRC.

This role is based in our Palo Alto, CA office. We use an in-person work model and offer relocation assistance.

What You'll Do

Build & Fine-Tune Models: Perform fine-tuning of foundation models on proprietary data and implement novel techniques to achieve world-class accuracy and precision on complex GRC tasks.
Develop AI-Native Workflows: Build sophisticated, multi-step agentic workflows that automate complex GRC processes, from risk assessment to compliance monitoring.
Champion Responsible AI: Implement and pioneer methods for AI explainability and safety, ensuring our systems are transparent, auditable, and fair.
Drive Innovation: Rapidly prototype, evaluate, and integrate state-of-the-art AI research (agents, RAG, new architectures) into reliable, production-grade features.

Representative Projects

Build an AI agent to analyze thousands of regulatory documents and internal controls, identifying potential compliance gaps with a higher accuracy rate than a team of human experts.
Develop a novel, explainable AI system for our risk assessment models, allowing auditors and executives to understand and trust the AI's reasoning for high-stakes decisions.
Build an advanced Retrieval-Augmented Generation (RAG) pipeline over a massive corpus of unstructured company data to provide precise, verifiable assessments over complex compliance requirements.
Partner with GRC subject matter experts to create a ground-truth dataset for a complex task, like third-party risk evaluation, and use it to fine-tune a model that becomes the industry standard.

What You Have

3+ years of experience in an applied AI or machine learning engineering role.
Proven Product Sense: You have a track record of shipping reliable, production-scale ML products and understand how to use offline evaluation and online experimentation to achieve high-performance results.
Expertise in Applied AI: You have direct, hands-on experience building with LLMs, including fine-tuning, Retrieval-Augmented Generation (RAG), and agentic systems.
High-Agency & Drive: You demonstrate a relentless drive for world-class accuracy and take full ownership of outcomes, moving with a bias for action in fast-paced environments. You see challenges as growth opportunities.
Exceptional Communication: You can clearly communicate with Security research counterparts.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity may be part of the total compensation package.

Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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Company

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.

Overview

Credit Genie is on a mission to empower our customers with financial stability and guidance. We believe Artificial Intelligence is the single most powerful tool to deepen that mission and redefine the future of fintech.

To lead the charge, we’re building the AI Boost Team - a dedicated, high-impact group tasked with accelerating Credit Genie's transformation into an AI-first organization.

This isn’t about incremental improvement. We’re targeting 10x output or 10x efficiency in our core processes. We’re looking for builders, innovators, and tinkerers who can turn ambitious ideas into tangible solutions—fundamentally reshaping how we work from the inside out.

The Role

We are hiring three AI Solutions Prototypers to form the core of our new AI Boost team. You are a technical expert with a builder mindset. Your mission is to rapidly design and build functional proofs-of-concept that demonstrate the \"art of the possible\" with AI.

You will embed directly with teams across our business—from Marketing and Product to Customer Service and Risk—to uncover their biggest pain points and opportunities. You won’t just brainstorm; you will build. Using low-code tools, APIs, and your own ingenuity, you will create working prototypes that make the potential of AI tangible, paving the way for company-wide adoption of transformative solutions.

This is a unique opportunity to be part of a lean \"strike team\" at the heart of our company's most critical strategic imperative: becoming a leader in the AI revolution.

What You’ll Do

Partner with business leaders to uncover high-impact AI use cases.
Rapidly prototype and validate AI solutions—often within days, not weeks.
GenAI APIs (OpenAI, Anthropic, Gemini, etc.) and agent frameworks (LangChain, CrewAI, etc.) to bring ideas to life. Note: we’re constantly evolving our toolbox, investing in the latest technologies.
Evaluate third-party tools and hacks—choose speed over perfection.
Hand off validated solutions to Engineering / AI teams for full implementation.
Evangelize AI across the org: run demos, share learnings, and be the go-to internal expert on \"what’s possible.\"

Who You Are

You’re obsessed with AI. You stay plugged into the latest models, tools, and trends—experimenting with GPTs, building weekend projects, and exploring what’s possible.
You’re a rapid builder. You move from idea to prototype in hours or days. You're scrappy and biased toward action.
You have technical fluency. You know Python and SQL, and are comfortable reading and writing code—even if you’re not a full-time engineer.
You’ve got a portfolio. Whether it’s personal projects, hackathons, or freelance gigs, you’ve shipped AI-enabled tools and can show your work.
You learn fast. You're constantly evolving and aren’t afraid to jump into the unknown.
You’re collaborative. You love talking to users, solving real problems, and iterating with feedback.
You’re creative. You see unconventional solutions, think laterally, and love turning wild ideas into working demos.

Why Join the AI Boost Team?

You’ll be on the ground floor of Credit Genie’s most ambitious initiative.
You’ll work across departments, solving diverse, real-world problems with AI.
You’ll have the freedom to build and break things—we value learning over polish.
You’ll grow fast, learn fast, and shape the way an entire company adopts AI.

Benefits and Perks

Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.

We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment.

Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.

100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness
401(k) with a 2.5% match and immediate vesting
Meal program for breakfast, lunch, and dinner
Life and accidental insurance
Flexible PTO

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.

Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

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At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. As we continue to scale, we are building a cutting-edge AI team that will play a critical role in developing intelligent, consumer-facing features, as well as internal tools that will drive productivity and innovation across the company.

Role Overview:
We are looking for an Applied AI Engineer to join our growing team at Fuse Energy. This position is ideal for an engineer who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. As an Applied AI Engineer, you will work on a variety of exciting projects, including consumer-focused features like the Energy Co-pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse Energy.

Requirements

Design, develop, and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g., using energy bills for quick setup).
Build and optimise internal AI tools that will make the whole company more productive, with a focus on automation and enhancing workflows.
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
Continuously improve and optimise AI models (including LLM and VLM) to provide a better user experience.
Develop scalable, maintainable AI infrastructure to support a growing set of consumer-facing and internal AI features.
Collaborate with the trading and operations teams to ensure the AI models are aligned with real-time market conditions and energy pricing.
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.
Stay up to date with the latest advancements in applied AI and machine learning, and apply them to solve real-world problems within the energy space.
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.

Skills & Qualifications:

Minimum 4 years of engineering experience
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning.
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.).
Experience working with large-scale models (LLM/VLM) and deploying AI-driven solutions into production.
Solid understanding of cloud technologies, containerization, and building scalable AI applications.
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance.
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment.
Familiarity with cloud-based platforms (AWS is a plus) and services related to AI/ML is a plus.
Experience or strong interest in energy markets and trading strategies.
Understanding of weather forecasting, energy demand patterns, and production modelling.
Experience working with large datasets, particularly in relation to demand and supply forecasting.

Bonus:

Experience in the energy or utilities industry.
Exposure to Natural Language Processing (NLP) or other related fields.
Familiarity with data engineering practices and working with large datasets.

Benefits

Competitive salary and a stock options sign-on bonus
Biannual bonus scheme
Fully expensed tech to match your needs!
Paid annual leave
Breakfast and dinner for office based employees

","hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://www.fuseenergy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom - Remote","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Applied AI Scientist","datePosted":"2025-08-19","description":"

POSITION SUMMARY

Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock.
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.

At Zoetis India Capability Center (ZICC) in Hyderabad, we are advancing applied AI research—turning cutting-edge AI methods into production-grade solutions. As an Applied AI Scientist, you will bridge the gap between research and application by developing, fine-tuning, and deploying AI models for real-world use cases such as intelligent assistants, predictive analytics, and process automation.
You will work at the intersection of machine learning research, software engineering, and domain expertise—collaborating with global teams to design AI systems that deliver measurable business value and enhance the quality of life for animals and the people who care for them.

Responsibilities:
AI Model Development & Integration:
• Research, design, and implement AI/ML models, with a focus on LLMs, NLP, and RAG pipelines.
• Fine-tune and adapt pre-trained models for Zoetis-specific use cases.
• Integrate AI models into production environments using APIs and scalable back-end architectures.

Experimentation & Problem-Solving:
• Conduct experiments to evaluate model performance, interpretability, and robustness.
• Apply strong problem-solving skills to address complex AI challenges in real-world settings.
• Troubleshoot model integration issues and optimize performance to meet SLA guidelines.

Deployment & Maintenance:
• Deploy AI models and services to production using MLOps best practices.
• Monitor AI system performance, ensuring scalability, reliability, and compliance.
• Implement continuous improvements based on business needs and user feedback.

Collaboration & Knowledge Sharing:
• Work closely with data scientists, engineers, and product managers to align AI solutions with business objectives.
• Participate in peer reviews of code, model architectures, and experimental design.
• Present research findings, prototypes, and AI strategy recommendations to stakeholders.

Continuous Learning & Innovation:
• Stay current with advancements in AI/ML research, frameworks, and tools.
• Experiment with emerging AI technologies to explore innovative applications for Zoetis.
• Mentor junior team members on AI development and applied research best practices

POSITION RESPONSIBILITIES

Percent of Time
Responsibility % of Time
Research, prototype, and evaluate AI/ML models for Zoetis use cases 30%
Fine-tune LLMs and implement RAG pipelines for domain-specific applications 25%
Collaborate with engineers to integrate AI models into scalable production systems 20%
Conduct experiments, benchmark models, and analyze performance metrics 15%
Publish internal research findings, present solutions, and contribute to AI strategy 10%

ORGANIZATIONAL RELATIONSHIPS

• Partner with business leaders to identify opportunities for AI adoption and automation.
• Work closely with data scientists to integrate models into production environments.
• Coordinate with DevOps, cloud engineering, and security teams to ensure AI applications meet compliance and performance standards.
• Mentor and guide junior engineers to upskill in AI and full-stack development.

EDUCATION AND EXPERIENCE

Education:
Master’s degree in computer science, Artificial Intelligence, or related field.

Experience:
• 1.5–6.5 years of experience in AI/ML, with a track record of applied research leading to deployed solutions.
• Strong expertise in NLP, LLM fine-tuning, RAG architectures, and vector databases.
• Proficiency in Python, PyTorch/TensorFlow, and machine learning libraries.
• Experience with large-scale datasets, model optimization, and MLOps practices.
• Familiarity with cloud-based AI services (AWS Sagemaker, Azure ML, or GCP Vertex AI).

TECHNICAL SKILLS REQUIREMENTS

Indicate the technical skills required and/or preferred, as applicable.
• ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.
• Specialization Areas: NLP, LLM fine-tuning, Prompt Engineering, RAG pipelines.
• Data Tools: Pandas, NumPy, Scikit-learn, Vector Databases (Pinecone, Weaviate, FAISS).
• Databases: PostgreSQL, SQL, NoSQL.
• Programming Languages: Python, SQL, optionally C++/Rust for performance-critical components.

PHYSICAL POSITION REQUIREMENTS

Regular working hours are from 11 AM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

Full time

Regular

Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

","hiringOrganization":{"@type":"Organization","name":"Zoetis","sameAs":"https://www.zoetis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Applied AI Researcher","datePosted":"2025-08-14","description":"

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

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

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

What We Are Looking For

At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.

Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.

Key Responsibilities

Applied Research — 0→1 System Design: The research team develops novel AI systems by integrating cutting-edge models, proprietary data, and innovative architectures to transform business workflows into AI-native processes. They design, implement, and validate these systems through rigorous benchmarking and real-world deployment.
Exploratory Research — Bold, Big Bets: Researchers critically explore recent advancements in the space across time and disciplines. In doing so, they draw from the full breadth of related exploratory efforts to establish company-wide perspectives and opportunities for innovation. They act on these opportunities through bold experimentation, publishing insights, and actively engaging in discussions to drive the field forward.

What We Require

Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

What We Offer

An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.
Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.
Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.
Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.
Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.
A collaborative and intellectually stimulating environment that encourages innovation and personal growth.

If you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Researcher and help us shape the future of AI-driven solutions for enterprises across the globe.

Note: Distyl is a hybrid working environment and requires in office collaboration 3 days a week. We have offices in SF and NYC

","hiringOrganization":{"@type":"Organization","name":"Distyl AI","sameAs":"https://distyl.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Applied AI Scientist","datePosted":"2025-08-19","description":"

POSITION SUMMARY

Education:
Master’s degree in computer science, Artificial Intelligence, or related field.

Regular working hours are from 11 AM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

Full time","hiringOrganization":{"@type":"Organization","name":"Zoetis","sameAs":"https://www.zoetis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-08-20","description":"

Applied AI Engineer

Why Vultron

Vultron is building the agentic operating system for federal growth. As an early member of the team, you’ll be part of a transformative company from its early stages.

Exceptional Market Demand: Secured significant contracts with top government and defense contractors across the world.
World-Class Team: ex-Anduril, Robinhood, Google, Amazon, DoD, etc. Founding team includes early members at $1B+ startups in the defense sector.
Competitive Compensation: Industry-leading salary and equity offerings.

Challenges

We’re applying generative AI and agentic systems to one of the most high-stakes, high-friction domains in the world. As our first AI Researcher, you’ll tackle problems that go far beyond the benchmarks.

Model Quality in Real-World Workflows

Improving synthesis, summarization, grounding, and structured reasoning in a government contracting and proposal context.

Custom Evaluation and Feedback Loops

Designing robust ways to evaluate relevance, completeness, hallucination risk, and user-centric performance.

Latency, Scale, and Control

Balancing performance and cost across open and closed models while building a testbed for fine-tuning and long-context optimization.

Role

As a key member of the Vultron applied research team, you will:

Build and improve model-powered product features that help federal contractors reason faster and act with confidence.
Enhance grounding, summarization, and generation systems across Vultron’s modular proposal workflows.
Develop and refine retrieval systems using RAG, vector search, and knowledge graphs.
Design evaluation pipelines that go beyond BLEU or ROUGE — measuring utility, accuracy, and synthesis quality in noisy, complex documents.
Work closely with federal domain experts to translate expertise into scalable model strategies.
Conduct experiments with fine-tuning, synthetic data generation, and in-context learning to improve performance across retrieval and summarization tasks.

Qualifications

Advanced LLM Applied Research

Experience fine-tuning and prompting large models — particularly agentic or task-specific systems — and improving performance through grounding, context window optimization, or RAG.

Deep Expertise in AI Model Development

Experience researching and building LLM-based systems, including both training and deployment.

Strong Publication Record

Significant contributions to the AI field via top-tier conferences or open-source projects.

Excellent Communication & Collaboration

Proven ability to work closely with engineers, product teams, and non-technical experts to ship fast and stay aligned.

Preferred Experience

Ph.D. or MS in Computer Science, Machine Learning, or a related field (or equivalent industry experience).
5+ years of experience in ML research, applied LLMs, or model infrastructure.
Experience with RAG pipelines and evaluation frameworks like RAGAS, DSPy, or LLaMAEval.
Experience with scalable LLM systems using LangChain, LlamaIndex, Hugging Face, or similar frameworks.
Experience designing or running fine-tuning experiments
Familiarity with GPU-based experimentation and cloud model deployment (e.g., vLLM, DeepSpeed, Ray Serve).
Prior work in high-trust domains is a plus.

Join us in shaping the future of government contracting with autonomy.

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About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You’ll work directly with our customers to understand their business and technical needs. You will design and deliver AI solutions, either by leveraging Snorkel Flow or developing custom approaches when needed, and collaborate with product and engineering teams to help generalize and integrate these learnings back into the Snorkel Flow platform. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value.

Main Responsibilities

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
Annual travel up to 25%.

Preferred Qualifications

3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
Proficient in Python.
Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch, Hugging Face Transformers, LangChain, and OpenAI APIs.
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.

Compensation range for Tier 1 locations of San Francisco, Seattle, Los Angeles & New York $172K - $240K OTE. All offers also include equity in the form of employee stock options. Our compensation 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.

Locations

New York; San Francisco Bay Area; Remote - US

#LI-CG1

Salary Range $172,000—$240,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Motion

Motion is building the first end-to-end agentic work suite for everyday businesses. Unlike point solutions or bolt-on tools, Motion was built from the ground up with AI agents at the core. Our platform already powers project management, documents, sheets, calendars, meetings, knowledge, and communication — and now we’re layering in AI Employees that can autonomously execute work across all of it.

What makes us different is that our agents are natively embedded in the platform. They’re not integrations, and they’re not copilots that just suggest things — they actually complete work with full access to data, context, and workflows. In just three months, AI Employees have grown from $0 to eight-figure ARR, and we’re only getting started.

With backing from YC and Sam Altman, a $500M+ valuation, and hundreds of thousands of users, we’re well positioned to lead. Now we’re building agents that work with extreme accuracy and unlock an order-of-magnitude boost in productivity.

Motion is intense, fast, and not for everyone. But if you want to work with top talent, push yourself harder than you thought possible, and help redefine how AI gets deployed in the real world, then you’ll thrive here.

About The Role

Motion is hiring an AI Engineer to make key technical decisions and implement large-scale AI projects as we scale the next 2 orders of magnitude. Technical ex-founders tend to be a great fit for this role. The context in Motion’s work management suite is broad and powerful, and this AI Engineer will help us make it useful for our customers. You’ll be building agents, constructing evals, and iterating on the agents you build with a tight customer feedback loop.

We work hard to ensure our engineering team is one of the highest talent-density teams in the world. We have accomplished in weeks or months what it would take larger teams years to do. There are many initiatives on our product roadmap we know will make Motion deliver orders of magnitude more value to customers. As an engineer on our team, you will work on Motion's highest impact projects and have ownership over major parts of the product code.

You will be a successful engineer at Motion if:

You are ambitious and always looking for ways to improve. For most engineers, this role will give you the most responsibilities you’ve ever had, while holding you to higher standards than other companies you’ve worked at. Don’t rest on your past achievements — expect to work your hardest and do the best work of your career at Motion. You will receive lots of coaching and feedback that you should seek to grow from
You can take ownership of projects and lead them to completion while dealing with ambiguity and finding the right balance between speed and quality. You don’t need every detail and edge case spelled out for you because you can figure out the goals of the project and fill in the blanks
You are a fast learner and can quickly familiarize yourself with a complex product and code base. You aren’t afraid to tackle any part of the stack or learn a new unfamiliar technology. You are comfortable with the fact that working in a startup means working around tech debt
You have a strong understanding of how you can create the most impact, and don’t get lost in the weeds in details that don’t matter. You’re excited to work on whatever solves the biggest customer problems, not just the coolest technical challenges
You can collaborate effectively with other talented engineers and work well in an environment where the best ideas win. The median engineer at Motion has 9 years experience. You should expect your ideas to get challenged and to learn a lot from your coworkers

Tech Stack

We prefer candidates who are familiar with the Javascript ecosystem and can hit the ground running when they join us. We don’t expect you to know all of our technologies, but enough of them to pick up the rest quickly. Our tech stack: Typescript, Node.js, React, React Query, Nest.js, Postgres, Temporal.

Compensation & Eligibility

Location: San Francisco (in-person)
Base Salary: $375,000
Total Compensation: $815,000 - $965,000
Visa Sponsorship: We are able to provide employment visa sponsorship for qualified candidates. Applicants will be asked if they currently or in the future require visa sponsorship as part of the application process.

About Motion’s Engineering Culture

Here are some helpful videos from Chander Ramesh, our cofounder and CTO:

Motion is committed to creating a diverse and inclusive workplace where everyone is treated with respect and given equal opportunities. We do not discriminate based on gender identity, race, ancestry, disability, religion, sexual orientation, pregnancy status, veteran status, or any other characteristic protected by law. We welcome and encourage all qualified candidates to apply for our job openings.

Helpful Links:

How Motion Operates

Motion Company Culture

https://www.usemotion.com

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About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

Main Responsibilities

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact.
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
Annual travel up to 25%.

Preferred Qualifications

3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
Proficient in Python.
Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch, Hugging Face Transformers, LangChain, and OpenAI APIs.
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.

Locations

New York; San Francisco Bay Area; Remote - US

#LI-CG1

Salary Range $172,000—$240,000 USD

Be Your Best at Snorkel

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Why Harvey

Harvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:

Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss , A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.
Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.
World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.
Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.
Performance: 4x ARR in 2024.
Competitive compensation.

Role Overview

As an Applied AI Engineer on the Engineering team at Harvey, you will own and lead engineering projects across our various product lines. We are looking for individuals who have worked across the stack on incredible products and have experience building products where machine learning models are a core component.

This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.

What You'll Do

Conduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines.
Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our legal team.
Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.

Representative Projects

Partner with our legal team to design and implement a method for evaluating the correctness of document citations. Use this to build a large dataset of ground-truth citations and then improve our core citation algorithm. You can read about some of our work on evaluation and citations here (1, 2, 3).
Make targeted improvements to our RAG pipelines to improve answer quality for user questions over corpuses of complex data, like massive banks of spreadsheets or Japan’s tax code.
Design and build systems that leverage state-of-the-art LLMs from multiple model providers, including custom models.
Work across the stack and with our legal team to create seamless multi-step AI workflows for complex legal tasks, like corporate merger due diligence.

What You Have

3+ years of experience (post-BS/MS) in an engineering role.
Experience with shipping a scaled and impactful product powered by machine learning: how to use offline datasets, online experiments, and recent research to build simple and high performance systems. Prior experience with LLMs and retrieval pipelines is not required.
Track record of shipping reliable products and a strong attention to detail.
Experience building backend platforms that can support multiple product lines.
Grit - experience working at early-stage startups is a plus.

Compensation Range

$180,000 – $280,000 USD

Please find our CA applicant privacy notice here.

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.

In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn.

But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

The Opportunity

At Multiverse, we believe technology should empower everyone to achieve their potential. As an Applied AI Engineer, you’ll transform cutting-edge AI research into real-world products that make learning and development smarter, more personalised, and truly impactful for thousands of users. Join us to build intelligent features that shape the future of work and education.

Key Responsibilities

Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that generate real impact to our learners, value for our customers, and align with Multiverse’s mission.
Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for tasks such as content generation, semantic search, summarisation, and personalised learning experiences.
Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini, ensuring they are fast, scalable, and dependable.
Own the End-to-End Lifecycle: Take responsibility for the journey from raw data through experimentation, deployment to users, and continuous iteration.
Measure What Matters: Track the performance, accuracy, and adoption of AI features, and use those insights to drive constant improvement.
Enable Others: Share your expertise and make AI approachable, helping colleagues across teams see how it can enhance their work.
Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, and monitoring using AWS cloud services and modern MLOps best practices.
Champion Innovation: Keep us ahead of the curve by exploring new AI tools, including Cursor and Gemini, and applying them to create exceptional user experiences.

About you

Hands-On AI/ML Expertise: You’ve built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit-learn.
LLM Expertise: Experienced in working with large language models (e.g., GPT, Claude, Gemini Pro) for production use cases, including prompt engineering, evaluation, and safety & inclusivity considerations.
Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications.
Experience with AI Tools: Familiarity with emerging AI tooling platforms such as Cursor and Gemini is highly desirable.
Cloud & MLOps: Practical experience deploying AI solutions on AWS, with a strong grasp of CI/CD for models, version control, observability, and retraining pipelines.
Data Skills: Skilled at working with structured and unstructured data, applying preprocessing and feature engineering techniques.
User Focus: You can translate complex AI capabilities into product experiences that feel effortless and intuitive.
Collaborative Approach: You work best in creative and cross-functional teams and thrive when building together.
Growth Mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture.

Benefits

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - we collaborate in the office 3 days per week
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Team fun - weekly socials, company wide events and office snacks!

Our commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (\"DBS\") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.

","hiringOrganization":{"@type":"Organization","name":"Multiverse","sameAs":"https://multiverse.io"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Applied AI Researcher","datePosted":"2025-09-08","description":"

If you have personally made over $100,000 via trading (manual / algo), or have improved a trading strategy significantly, please email tom@chai-research.com directly to have your application fast-tracked. We also fast track candidates who are currently at top quantitative trading firms.

Founded by a team of Cambridge ex quant-traders and researchers, with over 5 trillion tokens served per month to 5 million users, Chai has quickly established itself as the fastest-growing AI startup in Palo Alto.

We are looking for someone to run, optimize, and improve our AI platform, with the north-star metric being day 30 retention. You will be directly responsible for tasks which lead to a 50% improvement to our platform-wide retention. You will also be free to come up with other creative ways that we can monetize.

Who we are looking for

- Someone with an established track-record of delivering results which matter to the company

- Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks

- Someone who is goal oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal

- Profficient in Python, Tensorflow or PyTorch

Here's why we might not be the right fit for you

• We work hard and have a high-velocity environment with lots of growth opportunities.

• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.

• You will be responsible and accountable for making high-impact decisions that determine Chai's future

Here are the top 2 reasons why you should join us

• Exponential growth. 1 Million MAU. Join the team that gets us to 100 million MAU

• Craftsmanship. Build something beautiful

We are happy to sponsor visas for the right candidates.

","hiringOrganization":{"@type":"Organization","name":"CHAI","sameAs":"https://www.chai-research.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA (Onsite)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-09-07","description":"About VoltaiVoltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing.
About the TeamOur founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn. At Voltai, we are combining the world’s best talent in the intersection of software and hardware.

Key ResponsibilitiesAs an Applied AI Engineer at Voltai, you’ll own the full lifecycle of deploying SOTA agentic systems for tool use, code generation, schematic synthesis, and verification—directly impacting leading semiconductor and electronics companies. This can include:

Architect AI systems integrating LLMs with domain-specific retrieval and reasoning across technical artifacts like documentation, datasheets, and design files.
Build structured evaluation pipelines combining benchmarks, user feedback, and task performance
Design scalable data pipelines and real-world datasets for training, fine-tuning, and evaluation

You'll collaborate across research and engineering at Voltai to not just build tools but capture the intuition behind solving complex semiconductor and electronics challenges.
Required Skill Sets

Expertise in Python, Go, or Rust
Proven software engineering experience with a strong foundation in latest AI concepts
Proficiency in Python and familiarity with AI frameworks such as Langchain, LlamaIndex, or Haystack
Experience with agentic software frameworks, including LangChain, LangGraph, CrewAI, or Microsoft's AutoGen
Understanding of LLM memory, large context management, context awareness, and ingestion of multiple modalities
Hands-on experience with vector databases such as Milvus, Vespa, Elasticsearch or Pinecone (or similar)
Additional experience with graph databases like Neo4j and JanusGraph
Knowledge of structured outputs, function/tool calling mechanisms, and more agentic techniques
Ability to quickly iterate and implement SOTA research papers in this domain

Bonus Points

Some background in hardware/electronics, gained through professional, academic, or personal projects
Contributions to open-source initiatives
Notable awards or publications in leading journals/conferences
Experience thriving in a fast-paced, hyper-growth startup environment

Our Benefits

Unlimited PTO: Recharge when you need it, no questions asked.
Comprehensive Health Coverage: Medical, dental, and vision insurance for you and your dependents.
Free Meals and Snacks: Daily lunches, dinners, and snacks in the office.
Professional Growth: We invest in your continuous learning and offer opportunities to expand your skills.
Visa Sponsorship: We welcome global talent and provide visa sponsorship to support qualified candidates.

","hiringOrganization":{"@type":"Organization","name":"Voltai","sameAs":"https://voltai.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Applied AI Scientist","datePosted":"2025-09-05","description":"

Hi, Future Homie!

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team. We’re not just building an app—we’re building unstoppable teams.

We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?

📍Your Impact Starts Here

As an Applied Scientist, you will work closely with cross-functional teams, including Product, Engineering, and other business stakeholders, to build data and data-driven features.

These are the key ways you’ll contribute and create impact in this role:

Drive advancements in LLMs and other AI technologies, navigating a rapidly evolving landscape over the coming years.
Leverage pre-existing models, train or fine-tune new ones, and oversee their deployment, scaling, inference, and monitoring.
Tackle critical business problems across diverse domains with innovative AI solutions.
Develop metrics to evaluate the end-user impact of ML models and ensure their alignment with business goals.
Effectively communicate data science experiment results to non-technical stakeholders.
Collaborate with data, platform, and product engineering teams to productionize models for real-time, batch, or streaming applications.
Support Product, Engineering, and leadership teams with data-driven decision-making.

🚀 The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:

A strong foundational understanding of ML principles.
Experience working with LLMs in industry or academia.
Adaptability to learn and evolve as newer AI models emerge.
Proficiency in SQL and Python for data manipulation and model development.
The ability to break down complex business problems into manageable components.
Exceptional problem-solving skills and meticulous attention to detail.
Strong communication and collaboration skills to work effectively with cross-functional teams.

🤝 The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.

💡 Be Customer Obsessed – Solve problems with empathy and creativity.
⚡ Move Fast, Learn Fast – Experiment, take action, and grow every day.
🎯 Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.
🏆 Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.
🏅 Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.

What We Offer

💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
⏰ Time Flexibility: Flex time off + company holidays + designated focus periods
👨‍💻 Ideal Setup: 3 collaborative office days (Tue/Wed + Flex)
👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
🛡️ Protection Plans: Life insurance + short/long-term disability coverage
🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days

What to Expect During the Interview Process (please add the names and LinkedIn profiles of the hiring team)

Meet the Talent Acquisition team, Mavel W.
Meet the Hiring Manager, Kanchana P.
Participate in a Talent Showcase
Meet Cross-functional Partners
Background Check + Offer Stage
Welcome to the team, Homie 🎉

💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!

Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

👋 Hey, We’re Homebase

Unstoppable teams start here.

Homebase is the everything app for hourly teams—built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 100,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2.5+ million workers—and we’re just getting started.

At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know—we’re committed to ensuring fair and equitable access for all.

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Heard is a Series A startup on a mission to become the AI business partner for small health and wellness businesses. Thousands of customers trust us daily to manage their financial and compliance workflows. Our goal is to democratize access to an AI assistant that helps business owners build and grow their businesses while keeping them focused on what they love doing most - helping their client. We believe many of today’s pain points can be solved with creative, applied AI — and we’re looking for a founding Applied AI Engineer to make that vision real. We've raised $26M to date with the support of the best in the market - Founders' Co-op, Footwork, Headline, and Notable Capital. \n

What You’ll Do

Rapidly prototype and ship AI-powered features that simplify and eliminate manual workflow
Work closely with the Seattle based VP of Product to experiment, validate, and iterate on new user experiences
Build scrappy demos in days, then harden the best ideas into production-ready features
Apply state-of-the-art AI models (LLMs, embeddings, RAG, agents, etc.) to real-world product problems
Design lightweight evaluation frameworks for prototype success (accuracy, speed, cost, usability)
Help shape the culture and foundation of our AI usage at Heard

What We’re Looking For

Strong engineering fundamentals with fluency in prototyping and building full-stack features (Python/TypeScript/React)
Applied AI experience using APIs, libraries, and frameworks (e.g., OpenAI, Anthropic, LangChain, HuggingFace)
Product-mindedness: You care about solving real user problems, not just building cool tech
Bias to action: You thrive in ambiguity, build fast, and aren’t afraid to throw away work
Startup DNA: Resourceful, collaborative, low-ego, and energized by solving messy problems
Excited to work in person in Seattle with a small, fast-moving team

What Success Looks Like

Within 1-2 months: You’ve shipped prototypes that automate manual workflows that are tested with users
Within 3-6 months: You’ve transitioned successful experiments into production features with measurable impact
6-12 months: You’ve helped establish a repeatable process for turning messy workflows into elegant AI-driven experiences.

Bonus Points

Experience automating workflows in SaaS products
Familiarity with vector DBs, prompt engineering, and eval frameworks
History of shipping 0→1 features in a startup environment

Benefits

Market salary and equity — and flexibility to choose distribution.
Unlimited PTO
401k
Healthcare and dental
Mental Wellness Stipend
Remote Work Stipend

Our mission of helping therapists does not resonate with you
You prefer highly structured, well-defined environments
You’re uncomfortable with ambiguity or “being the first” in figuring something out

Heard is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!","hiringOrganization":{"@type":"Organization","name":"Heard","sameAs":"https://joinheard.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Applied AI Engineer","datePosted":"2025-09-10","description":"

Blend is a diverse team of problem solvers who believe that the world’s financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters.

We are seeking an experienced Applied AI Engineer to join our team and contribute to the continued success of Blend. As an Applied AI Engineer, you will be responsible for designing, implementing, and maintaining our agentic solutions. You will work closely with our product development team to understand and translate customer needs into functional and scalable software solutions.

How you’ll contribute:

Collaborate with cross-functional teams to understand and translate business requirements into technical specifications & code.
Architect, design, and lead the implementation of complex AI/ML solutions, with a strong focus on leveraging and orchestrating large foundational models (e.g., GPT, Llama, Gemini, Claude, Stable Diffusion) and pre-trained AI services from cloud providers or open-source libraries.
Take a leading role in designing, implementing, and deploying sophisticated AI agents and multi-agent systems using frameworks like DSPy, LangChain, LlamaIndex, AutoGen, or similar, to automate complex tasks, enable advanced reasoning, and drive new product capabilities.
Define and build robust, scalable APIs and services that expose advanced AI functionalities, including those powered by foundational models and agentic systems, serving as core components for other engineering teams and product features.
Develop, evangelize, and refine advanced prompt engineering strategies and techniques to maximize the performance, safety, and desired outputs from foundational models across diverse applications.
Design and optimize robust data pipelines for efficient AI model consumption, with a particular emphasis on architecting and implementing highly performant and scalable Retrieval Augmented Generation (RAG) patterns for foundational models.
Develop a rigorous eval framework to assess model performance and track model drift, data quality issues, and performance degradation.
Identify and troubleshoot defects and issues, ensuring timely resolution.
Participate in the team’s on-call rotation
Participate in code reviews to maintain code quality and ensure best practices.
Encourage great habits to enhance team practices by participating in code reviews & offering peer mentorship and guidance.
Create your own story! Some of Blend’s best features have come from engineering initiatives. You’ll have an opportunity to propose new ideas and build features end-to-end.

Who you are:

5+ years of progressive professional experience as an Applied AI Engineer, Machine Learning Engineer, or a similar role, with a proven track record of architecting and deploying complex AI solutions in production, particularly involving large language models, other foundational models, and agentic systems.
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field.
Expert proficiency in Python and extensive experience with relevant libraries for data processing, API development, and advanced interaction with foundational models (e.g., Hugging Face Transformers, OpenAI API, Anthropic API, Google AI SDKs).
Deep understanding and hands-on experience with the practical application, fine-tuning, and deployment of large foundational models in real-world scenarios.
Expert-level experience with designing and implementing sophisticated AI agents and multi-agent systems using at least one major agentic framework (e.g., DSPy, LangChain, LlamaIndex, AutoGen).
Extensive experience with at least one major cloud platform (e.g., AWS, Google Cloud, Azure) for deploying, managing, and optimizing large-scale AI services. Deep understanding of cloud AI services is essential.
You are an excellent communicator and can operate independently & collaboratively in a fast-paced environment, driving projects to a successful outcome.
Ability and willingness to help others succeed and be productive.

\n\n

To comply with local legislation, as well as to provide greater transparency to candidates, we share base pay ranges on all job postings regardless of desired hiring location.

For full time hires, the hiring base pay range for this position is between $135,000 and $159,000. Beyond base pay, Blend benefits and perks are described below.

Final base pay offer amounts will vary depending on multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience. Base pay will be adjusted for part-time roles to reflect scheduled hours.

\n\nBenefits and Perks:\n

Meaningful equity
401(k) plan with employer matching contribution
Comprehensive health benefits
8 weeks of paid parental, medical and pregnancy leaves
Generous vacation policy
Wellness benefits covering a variety of wellness activities, gym memberships, fitness classes and more

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Minimum qualifications:

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
2 years of experience in system software development (e.g., firmware, BIOS, BSP, Linux kernel, BMC, device drivers, and system libraries).
2 years of experience coding in C/C++.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
Experience in Solid-State Drive (SSD)/NAND or Hard Disk Drive (HDD) based storage technologies, interfaces (e.g., NVMe, SATA/SAS), and security standards (TCG).
Experience in developer operations, release management, integration testing, and open source development.
Experience in storage software stack with Linux or firmware in storage controllers (e.g., RAID/AFA/NAS).
Experience in large-scale and secure fleet management of servers and components.
Experience in Python and scripting languages (e.g., shell).

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

Design and implement the system software for storage systems to maximize the performance, reliability, security, and capacity.
Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance for storage components and systems.
Develop and implement solutions for collecting and analyzing metrics for storage products in the cloud infrastructure to deliver insights.
Collaborate with internal and external partners to plan and execute the engineering programs, including product development and productivity improvements.
Contribute innovative ideas and skills to the team.

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
15 years of experience in technical or GTM planning for a cloud business in a customer-facing or support role.
Experience executing scaled GTM motions; leading the business through insights into performance.

Preferred qualifications:

Experience with content creation and narrative development.
Experience selling cloud products.
Ability to collaborate effectively across organizational boundaries, build relationships, and import and export talent and ideas to achieve broader organizational goals.
Ability to learn, understand, and work with new and emerging technologies, methodologies, and solutions in the cloud/IT technology space.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As the Go-to-Market (GTM) Infrastructure Lead, EMEA for Google Cloud, you will drive the regional application and operationalization of the GTM plan for your practice area of infrastructure. The GTM Infra Lead is responsible for providing dedicated accountability by play in a region and implementing a tight feedback loop to inform changes required to accelerate goal attainment. This role will partner with the sub-regional Growth Leaders who will lead execution of the plays in partnership with the sub-regional business leaders.

You will showcase strong leadership capabilities and judgement by crafting the application of the GTM plan and orchestrating the right execution model for Google Cloud’s objectives and the regional landscape. You will partner with key cross-functional stakeholders across GTM and Engineering to manage and iterate on the plan. Finally, you will recommend ways to adapt as the market and customer needs change.

Responsibilities

Orchestrate cross functional application of the regional infrastructure plan across stakeholder teams such as Enablement, Marketing, Partners, Services and others.
Collaborate with the Global Practice Lead and Regional GTM Practice Leader to refine the GTM plan and strategy, incorporating regional performance insights.
Drive measurable field engagement with GTM plays, monitoring adoption through enablement and progress towards financial goals.
Track and analyze critical success metrics and Key Performance Indicators for GTM plays, providing insights to regional sales leaders and aligning with Global Practice Leads on performance and necessary adjustments.
Conduct quarterly and monthly business reviews for infrastructure, reporting on the progress of GTM initiatives and facilitating a continuous feedback loop.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland; Warsaw, Poland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Storage Technologies, Google Cloud Platform","datePosted":"2025-08-07","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
Experience in Unix/Linux environments.
Experience in C or C++ programming.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
1 year of experience in a technical leadership role.\n
Experience with developer operations, release management, integration testing, and open source community collaborations.
Experience in Python/Go and scripting languages (e.g. shell).
Experience in enterprise server or storage systems.
Experience in secure fleet management of servers and components.

About the job

Responsibilities

Develop and execute on technical charters for owned areas. Influence roadmap decisions, and define and implement the known practices across teams.
Lead the programs of system software development for next-generation storage devices and systems to introduce the latest technologies of performance, reliability, security, and cost-effectiveness to the infrastructures.
Lead the programs of system software development for system verification, automating diagnostics, system configuration management, and operation metrics collection.
Mentor the team by modeling standards, providing guiding feedback, and implementing new practices to improve productivity.
Contribute innovative ideas and skills to the team.

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