Senior Product Manager - AI & AI Infrastructure
Seattle, WAJobPosted 2 days agoStill listed 1 day ago
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At a glance
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Job overview
The Senior Product Manager will lead strategy and execution for cloud platforms serving AI workloads. The role owns product direction and delivery for AI and infrastructure capabilities, translating enterprise customer needs and developer workflows into product requirements and outcomes. It partners with engineering and technical and commercial stakeholders, and is hybrid for candidates in the Seattle area or San Francisco Bay Area, with Seattle preferred.
Skills & qualifications
Skills
Qualifications
Full job description
About the role Our hiring partner is seeking a Senior Product Manager - AI & AI Infrastructure to lead product strategy and execution for cloud platforms serving AI workloads. This role requires demonstrated ownership of AI or AI infrastructure products, not simply general product management experience or use of AI productivity tools. Location and work arrangement This is a hybrid role available to candidates based in the Seattle area or the San Francisco Bay Area. Seattle is preferred; Bay Area candidates are welcome. Key responsibilities
- Own product vision, strategy, prioritization and roadmaps for AI and cloud infrastructure capabilities.
- Translate enterprise customer needs and AI developer workflows into clear product requirements and measurable outcomes.
- Partner with engineering on infrastructure supporting model training, post-training, inference or agentic workloads, balancing performance, reliability, scalability and cost.
- Lead discovery, competitive analysis, product launches and adoption initiatives across technical and commercial stakeholders.
- Define product success metrics and use customer feedback and workload insights to guide investment decisions.
- Communicate technical trade-offs and product direction clearly to customers, engineers and executives.
Required qualifications
- Strong senior-level product management experience with demonstrated leadership of product strategy and end-to-end delivery.
- A track record of owning AI or AI infrastructure products, with clear examples of customer impact and product outcomes.
- Experience with cloud infrastructure and platforms such as AWS or Google Cloud Platform; both providers are not required.
- Relevant exposure to at least one of model training, post-training, inference or agentic AI workflows. Experience in all four areas is not required.
- Ability to evaluate infrastructure performance, scalability, reliability and cost trade-offs with engineering teams.
- Strong customer discovery, prioritization and cross-functional communication skills.
- Based in the Seattle area or San Francisco Bay Area and available for hybrid work.
Preferred technical context
- GPU infrastructure, accelerated computing or AI compute platforms.
- Kubernetes, Docker and container orchestration for AI workloads.
- Familiarity with model serving, compute scheduling, resource utilization or distributed systems.
Technical familiarity is assessed from a product-management perspective; this is not a software engineering role, and proficiency in Go or Python is not required.
How this job compares
Set against the 8,529 open Product Manager jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This postingNot listed
- Washington median$151–206K/yr465 salary ranges
- US median$62–75/hr184 hourly ranges
- Openings
- Olive Jobs lists 493 open Product Manager jobs in Washington and 8,529 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon208 open
- Microsoft Corporation31 open
- Meta29 open
- Experience
- Product Manager postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 7 years (7,347 postings).
- Education
- 2,729 of the 8,529 open Product Manager jobs (32%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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