AI Product Owner Jobs in Washington
AI Product Owner jobs in Washington are among the most actively recruited product roles in the country, concentrated in software platforms, cloud infrastructure, enterprise AI, and defense technology across seniority levels from associate product manager through director. Seattle and the greater Eastside corridor anchor the bulk of demand, with secondary clusters in Bellevue and Redmond, where Microsoft, Amazon, and Boeing maintain large AI and product organizations. The most sought-after specializations in Washington are conversational AI, MLOps platform ownership, and AI-enabled enterprise software. Find a role that fits below and apply directly.
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DESCRIPTION
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As the product owner for AI enablement in this space, you will start by auditing how beta teams work today, mapping workflows, pain points, and repetitive manual tasks to identify the highest-impact opportunities for AI automation or augmentation. You will turn those opportunities into a clear, prioritized roadmap and partner with beta program leads, engineering, and AI teams to build, integrate, and deploy solutions. You will stay current on emerging generative AI models, agentic frameworks, and beta-specific AI tooling, and you will test, evaluate, and benchmark candidate tools against real team use cases to make informed build-versus-adopt recommendations. You will collaborate with the broader Amazon AI and beta communities to surface best practices, reuse existing solutions, and find opportunities to partner. To drive impact, you will lead and document trainings that drive adoption among beta program leads and the wider Experience Validation team.
Key job responsibilities
Success in this role is measured by real, sustained impact on how your beta programs operate. You will establish clear KPIs for adoption and value—active user rates, time saved per task, output quality improvements, and cycle-time reduction—and track them over time to demonstrate ROI and guide your roadmap. You will use data and user feedback to iterate, retire what isn't working, and double down on what is. The ideal candidate is comfortable both exploring emerging AI technology and getting close to operational workflows to understand where the friction really is. You are a self-directed builder who thrives in ambiguity, communicates crisply, and is energized by using AI to help a fast-growing organization do more with less.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- 5+ years of product management, technical program management, or equivalent experience owning products or programs end to end
- Experience identifying process/workflow inefficiencies and delivering tooling or automation to address them
- Hands-on familiarity with generative AI models and/or agentic workflows and how to apply them to real use cases
- Experience defining KPIs, measuring outcomes, and using data to prioritize and demonstrate impact
- Strong stakeholder management skills and the ability to drive adoption and influence without authority
PREFERRED QUALIFICATIONS
- Experience with AI/ML technologies
- Familiarity with beta, early-access, pilot, or experience-validation programs
- Experience driving team-level tool adoption and change management
- Background in connectivity, hardware, telecommunications, or other technical products
- Experience partnering with engineering and applied-science teams to ship AI capabilities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 151,200.00 - 204,600.00 USD annually
DESCRIPTION
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As the product owner for AI enablement in this space, you will start by auditing how beta teams work today, mapping workflows, pain points, and repetitive manual tasks to identify the highest-impact opportunities for AI automation or augmentation. You will turn those opportunities into a clear, prioritized roadmap and partner with beta program leads, engineering, and AI teams to build, integrate, and deploy solutions. You will stay current on emerging generative AI models, agentic frameworks, and beta-specific AI tooling, and you will test, evaluate, and benchmark candidate tools against real team use cases to make informed build-versus-adopt recommendations. You will collaborate with the broader Amazon AI and beta communities to surface best practices, reuse existing solutions, and find opportunities to partner. To drive impact, you will lead and document trainings that drive adoption among beta program leads and the wider Experience Validation team.
Key job responsibilities
Success in this role is measured by real, sustained impact on how your beta programs operate. You will establish clear KPIs for adoption and value—active user rates, time saved per task, output quality improvements, and cycle-time reduction—and track them over time to demonstrate ROI and guide your roadmap. You will use data and user feedback to iterate, retire what isn't working, and double down on what is. The ideal candidate is comfortable both exploring emerging AI technology and getting close to operational workflows to understand where the friction really is. You are a self-directed builder who thrives in ambiguity, communicates crisply, and is energized by using AI to help a fast-growing organization do more with less.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- 5+ years of product management, technical program management, or equivalent experience owning products or programs end to end
- Experience identifying process/workflow inefficiencies and delivering tooling or automation to address them
- Hands-on familiarity with generative AI models and/or agentic workflows and how to apply them to real use cases
- Experience defining KPIs, measuring outcomes, and using data to prioritize and demonstrate impact
- Strong stakeholder management skills and the ability to drive adoption and influence without authority
PREFERRED QUALIFICATIONS
- Experience with AI/ML technologies
- Familiarity with beta, early-access, pilot, or experience-validation programs
- Experience driving team-level tool adoption and change management
- Background in connectivity, hardware, telecommunications, or other technical products
- Experience partnering with engineering and applied-science teams to ship AI capabilities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 151,200.00 - 204,600.00 USD annually
See All 51 AI Product Owner Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Product Owner JobsAI Product Owner Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Product Owner Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in AI product owner jobs across Washington.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Three or more years of product management experience with AI or machine learning products
- Demonstrated ability to write product requirements and user stories for ML-driven features
- Experience collaborating with data science or machine learning engineering teams on releases
- Proficiency with agile methodologies and product roadmap tools such as Jira or Aha
- Strong stakeholder communication skills bridging technical teams and business leadership
AI Product Owner Jobs in Washington: Frequently Asked Questions
How do you become a ai product owner in Washington?
Washington has no state-issued license or registration for ai product owners, so the path is credential and experience driven. Most Washington employers expect a bachelor's degree in computer science, engineering, data science, or business, plus hands-on exposure to machine learning products or agile delivery. Certifications such as Certified Scrum Product Owner or an AI-focused product management program strengthen applications. Building a portfolio of shipped AI features or completing a relevant graduate certificate at the University of Washington or Washington State University is a recognized starting point.
Which companies hire ai product owners in Washington?
Employers hiring ai product owners in Washington right now include Amazon, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of September 2026. Washington's concentration of cloud, enterprise software, and aerospace companies means hiring tends to favor candidates with platform-scale or regulated-industry product experience.
Which Washington cities have the most ai product owner jobs?
Seattle, Redmond, and Bellevue have the most ai product owner openings in Washington. Seattle drives the largest share because of its density of technology headquarters and AI research labs, while Bellevue and Redmond reflect the scale of Microsoft's product and engineering campuses, which generate a consistent pipeline of AI product roles across divisions.
Are there remote ai product owner jobs in Washington?
Yes, and more than most fields. About 67% of ai product owner openings tied to Washington are remote or hybrid as of September 2026, reflecting how naturally this desk-based, collaboration-and-tooling role adapts to distributed work. Strategic planning, backlog management, and stakeholder reviews are the parts of the role most commonly performed fully remote, while sprint ceremonies and cross-functional alignment meetings are more often kept in-person or hybrid.
How can I get hired as a ai product owner in Washington with little or no experience?
The most realistic entry path is a lateral move from a technical adjacent role such as software engineer, data analyst, or business analyst, where you can volunteer to own a feature roadmap or lead sprint planning before formally switching titles. Microsoft and Amazon both run associate product manager programs in Washington that accept candidates without prior PM titles. Building a case study portfolio demonstrating AI product decisions, completing the University of Washington's product management certificate, and targeting smaller Washington AI startups where role boundaries are broader all improve early candidacy significantly.
Where can I find and apply to ai product owner jobs in Washington?
You can find and apply to ai product owner jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the available roles, find the ones that fit your background and target location, and apply directly to each posting without needing to create a profile or sign up first.
See All 51 AI Product Owner Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Product Owner Jobs