Product Manager Technical - AI - Redmond, WA at ManpowerGroup
Redmond, WA
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Jul 21, 2026
Redmond, WA
Jul 23, 2026
What this job asks for AI summary
This role centers on defining and delivering AI-powered products — spanning machine learning, generative AI, and agentic workflows — from initial strategy through launch and ongoing improvement. The position involves setting roadmaps, translating complex business problems into product requirements, and working across engineering, data science, and operations teams. It suits an experienced technical product manager with a background in AI/ML product development and a comfort with model evaluation, responsible AI governance, and data-driven prioritization.
Senior level · 5+ years · Bachelor's required
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location is specified in the posting; CBSA and state fields are left blank. The role may be remote or hybrid but this is not stated.
The SOC classification is a judgment call: Technical Product Manager is not a standard BLS occupation. 15-1299 (Computer Occupations, All Other) is the closest fit for a hands-on technical PM; 11-3021 (Computer and Information Systems Managers) is a plausible alternative given the strategic scope, but the role appears to be an individual contributor rather than a people manager.
The Basic Qualifications section lists experience with 'Architecture, APIs, Data platforms, Scalability, Reliability, Security, Integration design' as a single grouped requirement around working with engineering teams. APIs and data platforms are the only concrete named technologies in that list and are captured as required; the rest are non-tool concepts.
AI/ML and Generative AI appear in the Basic Qualifications section as examples of what the PM will work with, making them required context for the role. Agentic AI, LLMs, agent-based architectures, orchestration frameworks, cloud-based AI services, enterprise integrations, and A/B testing all appear under Preferred Qualifications and are marked accordingly.
The degree requirement is a hard gate: the Basic Qualifications list a Bachelor's degree in a specific set of fields with no 'or equivalent experience' language.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): cloud-based AI services.
Read the full posting
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