AI Product Manager Jobs in Seattle, USA

Looking for an AI product manager job in Seattle? Choose from 74 open roles at 16 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

74 Open roles
16 Companies hiring
โ€” Average salary

What do AI product managers in Seattle work on?

The roles in these postings centre on owning product strategy, roadmap, and end-to-end delivery for AI-driven systems. In practice that means defining what an AI product should do, setting priorities against business and engineering constraints, and seeing features through design, testing, and launch.

Several of the sample summaries illustrate how varied the domain context can be. The Brex Senior Product Manager, AI focuses on an AI agent for finance administrators, requiring evaluation frameworks to measure quality. The Amazon Sr. Product Manager, Event Automation & Intelligence involves designing multi-agent systems that orchestrate large-scale commercial events across dozens of marketplaces. The Amazon Principal Product Manager for AI & Cloud Media Services adds P&L ownership and partnership with applied scientists for a video understanding service.

Across the sample, common threads include stakeholder alignment across engineering, data science, and business teams; data-informed roadmap decisions; and responsibility for products that directly touch end customers or enterprise clients.

Skills and experience employers ask for

These figures reflect how often each term appears in job descriptions across the postings on this page, not formal requirements. A/B testing and AWS are the most frequently mentioned, followed by references to agents, model evaluation, and working knowledge of APIs and LLMs. SQL and cloud platforms such as GCP and Azure appear in a minority of postings. The sample is limited to these listings only, so the counts describe this snapshot rather than the broader field.

A/B testing 30%
AWS 26%
Agents 24%
Evaluation 23%
Go 23%
APIs 19%
LLMs 18%
SQL 9%
Statistics 7%
GCP 5%
Azure 5%
Master's degree 5%
Recommender systems 4%
Prompt engineering 3%

Seattle office, hybrid or remote?

The large majority of postings on this page are listed as on-site, with a smaller share explicitly marked hybrid and only a handful marked fully remote. None have an unknown work mode, so the picture here is relatively clear. That said, on-site and hybrid arrangements will vary by employer and team โ€” the postings themselves are the place to check exact expectations. Candidates who require remote flexibility should look closely at the small subset of postings where that is explicitly stated before applying.

Make your application specific to the work

  1. Read the full posting carefully Experience requirements vary considerably across seniority levels here, from a few years managing technical products to seven or more years combined with software development experience. Confirm that the specific criteria match your background before proceeding.
  2. Prepare evidence of shipped AI products Multiple sample summaries ask for demonstrated experience shipping products end-to-end, particularly with ML or AI components such as agents or evaluation systems, so concrete examples from past roles will be central to your application.
  3. Tailor your materials to the domain These roles span finance, media, e-commerce, and cloud infrastructure, so adapt your CV and cover letter to reflect relevant domain knowledge for each specific posting rather than submitting a single generic version.
  4. Apply through each employer's own system Each posting links to the hiring employer's application process directly; note that some employers, such as Amazon, require you to create an account on their own careers site before you can submit.

Questions about AI Product Manager jobs in Seattle

None of the postings on this page include an advertised pay range, so no salary comparison is possible from these listings alone. You would need to ask about compensation directly during the hiring process or consult other sources.

Most postings on this page are at senior or staff level, with a notable share at lead level as well. A smaller portion are mid-level, and there is one director-level posting. Entry-level positions are not represented in this snapshot.

Visa sponsorship is not stated in the fact pack for any of these postings. You would need to check each individual posting or contact the employer directly to find out their position on sponsorship.

Amazon accounts for the largest share of postings here, followed by Brex, Databricks, Axon, and Anthropic. Stripe, Moloco, and Truveta also appear, along with several other employers represented by smaller numbers of postings.

A master's degree is mentioned in only a small number of postings on this page. One of the sample summaries notes a bachelor's degree requirement explicitly. For most postings the degree expectation is not stated in the available information, so you should check the full text of each posting.

Jobs checked 11 hours ago. ยท Guide reviewed 9 September 2026.