Senior Product Manager, AI and Compute Infrastructure

Google LLC

Kirkland, WA

JOB DETAILS
SKILLS
Android, Artificial Intelligence (AI), CPU (Central Processing Unit), Cloud Computing, Cloud Storage, Consumer Packaged Goods, Cross-Functional, Customer Service Management, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Genetics, Infrastructure as a Service (IaaS), Japanese Language, Kernel Programming, Leadership, Machine Learning, Manufacturing, Microservices, Microsoft Windows Operating System, Network Operations Center, Operating Systems, Operational Support Systems (OSS), Operations Research, Presentation/Verbal Skills, Product Development, Product Documentation, Product Management, Product Support, Product/Service Launch, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Sales, Sales Management, Software Development, Software Engineering, Stock Purchase Plans, Structural Engineering, Team Player, Technical Consulting, Technical Delivery, Technical Presentation, Ubuntu
LOCATION
Kirkland, WA
POSTED
10 days ago

Senior Product Manager, AI and Compute Infrastructure - Google Careers

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Senior Product Manager, AI and Compute Infrastructure

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corporate_fareGoogleplaceKirkland, WA, USA; Seattle, WA, USA; +2 more; +1 more

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.

  • 8 years of experience in product management or related technical role.

  • 2 years of experience working with Infrastructure as a Service (IaaS) and Kubernetes.

  • 2 years of experience in infrastructure platforms, microservices, or agentic architectures.

  • Experience in the development or launch of products or technologies within artificial intelligence or machine learning (AI/ML).

Preferred qualifications:

  • Master"s degree in a technology or business related field.

  • 4 years of experience in a role preparing and delivering technical presentations to executive leadership.

  • 3 years of experience in software development or engineering.

  • Experience with AI/ML in security.

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.

ACI Infrastructure delivers the secure, reliable, and unified compute infrastructure powering Google Cloud's scale. As the foundational glue between hardware NPIs, orchestration, and workloads, we are accountable for the non-negotiable bedrock of platform security and reliability.

The opportunity ahead puts us in the middle of the most impactful work for Google Cloud.

Our mission is to deliver the world"s most complete and powerful AI substrate into an uneventful, predictable, and infinitely scalable utility for the Agentic era. This high-stakes engineering represents a unique chance to decouple revenue from hardware constraints.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Evolve the GKE Node OS roadmap (COS, Ubuntu, Windows), aligning release cadences with Kubernetes and optimizing for security and reduced downstream toil.
  • Drive the customization strategy, including GKE Image Builder, balancing customer demands for flexibility (BYONI, non-mainstream OSs, custom kernels) with platform supportability.
  • Oversee predictable upgrade-in-place strategies to eliminate customer-experienced downtime during capacity constraints.
  • Guide the transition and technical enablement for new CPU NPIs across GKE Standard and Autopilot, including Day 0 support.
  • Partner with engineering to deliver runtime primitives for GPU/TPU workloads, including containerd strategic alignment, Pod Snapshotting, and image streaming.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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