Staff Product Manager, US Public Sector
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Looking for an AI product manager job in Washington, D.C. (DC)? Choose from 21 open roles at 11 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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As of 23 September, 19 AI product manager roles are open in Washington, D.C. at 9 employers. 1 new roles have been posted since 21 September. Of the roles that say how they work, 26% are remote or hybrid.
Among the AI product manager roles listed on the board for Washington DC, mid-level positions account for nearly half of those stating a seniority level, with senior roles making up roughly a third and lead-level positions the remaining fifth. Openings are spread across several posting dates, with the largest share added within the past two months and smaller portions arriving more recently. Hiring is notably concentrated: the five largest hirers account for the vast majority of roles listed here. Agents and APIs are the most commonly mentioned technical areas, each appearing in well over a third of descriptions, followed by evaluation practices in about a third. There is not yet enough weekly history to describe any trend in the number of open roles.
Figures are measured every Monday.
An AI product manager defines and drives the development of products that incorporate machine learning, large language models or related capabilities, working across engineering, design, data science and business teams to translate user needs into a product roadmap. In Washington DC, the role frequently intersects with federal government priorities: contractors and technology companies serving agencies need product managers who understand policy constraints, compliance requirements and, as research from the Greater Washington Partnership has noted, the security-clearance landscape that shapes much of the region's tech hiring. Institutions such as Georgetown's Center for Security and Emerging Technology and the TRAILS consortium reflect the city's particular interest in responsible, policy-aware AI, a context that often shapes how product decisions are framed and communicated to stakeholders.
Role descriptions mention agents and APIs most often, suggesting familiarity with agentic AI workflows and integration patterns is valued. Evaluation — measuring model and product performance — appears in roughly a third of descriptions. Cloud platforms including Azure, AWS and GCP each appear in a minority of postings, as does computer vision. LLMs and retrieval-augmented generation are mentioned by a smaller share. Python appears rarely in descriptions, though it is commonly used in the broader field.
Among roles on the board that state a work mode, the strong majority call for on-site presence, which is consistent with the region's concentration of government contractors and federal clients where in-person access is often expected. A small minority of roles are described as hybrid, and a somewhat larger minority as fully remote.
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