AI Product Owner Jobs in Seattle, WA
AI Product Owner jobs in Seattle, Washington are concentrated in South Lake Union, the Eastside corridor near Bellevue, and Capitol Hill, across cloud infrastructure, enterprise software, and healthtech. Employers hiring right now include Amazon, Google, and Dell Technologies. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
Ready to shape the trajectory of applied AI and build breakthrough solutions that redefine what's possible for customers?
We are seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform how millions of customers experience Amazon. This role combines deep technical acumen with business strategy to drive products that don't just meet requirements, they redefine what's possible in customer service and experience at global scale.
The Data Intelligence team is a new function within Amazon Customer Service, a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities. We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and obsess over getting customer experience right, because our work succeeds only when it creates meaningful impact and improves outcomes for customers.
Key job responsibilities
- Own the Complete Product Lifecycle: You will define and communicate strategic vision and long-term roadmaps, drive cross-functional teams toward successful execution, and maintain accountability for customer outcomes and product reliability.
- Develop Product Strategy and Communications: You will craft clear, differentiated value propositions tailored for diverse audiences including leadership.
- Navigate Ambiguity and Drive Invention: You will identify where invention is needed, take smart risks, distinguish between one-way and two-way doors, and ensure gaps and opportunities within or between regions, architectures, and business organizations are identified and addressed.
- Build Consensus Across Functions: You will partner effectively with design, engineering, science, and other leaders to align roadmap priorities and influence cross-functional strategies.
- Develop and Mentor Technical Product Leaders: You will actively contribute to talent acquisition, participate in hiring and interview processes, and play a role in the career development of other product managers.
A day in the life
A typical day as an AI Product Manager, Technical, in the Data Intelligence team involves combining strategic vision with hands-on problem-solving across machine learning, generative AI, natural language processing, agentic AI, multi-agentic AI architectures, and advanced data science. You will own complex product initiatives, ensure alignment with customer needs and business objectives, and translate customer and business requirements into practical AI-driven solutions.
Working collaboratively with cross-functional teams including applied scientists, data engineers, software engineers, and business leaders, you will define product direction, evaluate technical approaches, and focus on customer impact, efficiency, and scalability.
Daily activities include reviewing customer feedback and performance data, identifying product opportunities and risks, and operating like a startup leader.
About the team
The Data Intelligence team is a new function within Amazon Customer Service, a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities and creating meaningful impact for customers.
We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agentic AI Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and prioritize getting customer experience right, because our work is only successful when it meaningfully improves outcomes for customers.
BASIC QUALIFICATIONS
- Bachelor's degree
- 7+ years of end to end product delivery experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
PREFERRED QUALIFICATIONS
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
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.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $179,900.00 - $243,400.00 USD annually
DESCRIPTION
Ready to shape the trajectory of applied AI and build breakthrough solutions that redefine what's possible for customers?
We are seeking an experienced AI Principal Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform how millions of customers experience Amazon. This role combines deep technical acumen with business strategy to drive products that don't just meet requirements, they redefine what's possible in customer service and experience at global scale.
The Data Intelligence team is a new function within Amazon Customer Service, a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities. We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and obsess over getting customer experience right, because our work succeeds only when it creates meaningful impact and improves outcomes for customers.
Key job responsibilities
- Own the Complete Product Lifecycle: You will define and communicate strategic vision and long-term roadmaps, drive cross-functional teams toward successful execution, and maintain accountability for customer outcomes and product reliability.
- Develop Product Strategy and Communications: You will craft clear, differentiated value propositions tailored for diverse audiences including leadership.
- Navigate Ambiguity and Drive Invention: You will identify where invention is needed, take smart risks, distinguish between one-way and two-way doors, and ensure gaps and opportunities within or between regions, architectures, and business organizations are identified and addressed.
- Build Consensus Across Functions: You will partner effectively with design, engineering, science, and other leaders to align roadmap priorities and influence cross-functional strategies.
- Develop and Mentor Technical Product Leaders: You will actively contribute to talent acquisition, participate in hiring and interview processes, and play a role in the career development of other product managers.
A day in the life
A typical day as an AI Product Manager, Technical, in the Data Intelligence team involves combining strategic vision with hands-on problem-solving across machine learning, generative AI, natural language processing, agentic AI, multi-agentic AI architectures, and advanced data science. You will own complex product initiatives, ensure alignment with customer needs and business objectives, and translate customer and business requirements into practical AI-driven solutions.
Working collaboratively with cross-functional teams including applied scientists, data engineers, software engineers, and business leaders, you will define product direction, evaluate technical approaches, and focus on customer impact, efficiency, and scalability.
Daily activities include reviewing customer feedback and performance data, identifying product opportunities and risks, and operating like a startup leader.
About the team
The Data Intelligence team is a new function within Amazon Customer Service, a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities and creating meaningful impact for customers.
We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agentic AI Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and prioritize getting customer experience right, because our work is only successful when it meaningfully improves outcomes for customers.
BASIC QUALIFICATIONS
- Bachelor's degree
- 7+ years of end to end product delivery experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
PREFERRED QUALIFICATIONS
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
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.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $179,900.00 - $243,400.00 USD annually
See All 40 AI Product Owner Jobs in Seattle
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Find AI Product Owner JobsAI Product Owner Job Market in Seattle
Who's Hiring
- Amazon10
- Google5
- Dell Technologies4
- Databricks3
- ARMADA1
Top Industries Hiring
- Technology & Software26
- Retail10
- E-Commerce & Online Marketplaces10
- Artificial Intelligence6
- Accounting & Auditing1
AI Product Owner Jobs in Seattle: Frequently Asked Questions
How do I get a ai product owner job in Seattle?
The strongest entry point in Seattle is targeting cloud platforms, enterprise SaaS, and healthtech companies, which collectively post the highest volume of ai product owner roles in the city. South Lake Union and the broader Eastside tech corridor are where most hiring concentrates. Candidates who can demonstrate experience with LLM integration, prompt engineering pipelines, or AI roadmap prioritization stand out in Seattle's market, where technical depth is expected alongside classic product skills.
Which companies hire ai product owners in Seattle?
Employers hiring ai product owners in Seattle right now include Amazon, Google, and Dell Technologies, based on current listings on Migrate Mate as of June 2026. Seattle's hiring is dominated by large cloud and platform companies alongside a dense layer of growth-stage SaaS and digital health startups.
Are there remote ai product owner jobs in Seattle?
Yes, ai product owner work is well-suited to remote arrangements given its analytical and cross-functional coordination nature. About 50% of ai product owner openings tied to Seattle are remote or hybrid as of June 2026, reflecting the city's strong remote culture in tech. Discovery and stakeholder alignment work tends to stay hybrid, while roadmap planning and backlog grooming are often fully remote.
How can I get a ai product owner job in Seattle with little or no experience?
The most realistic entry path in Seattle is moving laterally from a technical analyst, data analyst, or ML engineer role at one of the city's mid-size SaaS or healthtech companies, where internal transfers into product are common. Entry-level associate PM programs at Seattle's larger tech employers are another direct route. Building a portfolio with AI prototypes or contributing to open-source product tooling gets attention in a market where employers expect candidates to show, not just describe, their AI instincts.
Which industries hire the most ai product owners in Seattle?
The sectors hiring the most ai product owners in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of June 2026. Seattle's position as a global cloud computing hub and its growing digital health ecosystem drive unusually strong and consistent demand for ai product owners compared to other U.S. cities.
Related Jobs in Washington
See All 40 AI Product Owner Jobs in Seattle
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