Principal Product Manager, Content AI at Microsoft
New York, NY
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Aug 12, 2026
New York, NY
Sep 24, 2026
What this job asks for AI summary
This role sits at the intersection of editorial strategy and AI-powered content systems, focused on the MSN platform. The primary work involves building quality and trust frameworks for video and creator content, designing and running evaluations for AI-driven editorial products, and leading cross-functional initiatives with product, engineering, and design teams. It suits an experienced program or product manager with a strong editorial background and hands-on exposure to generative AI content.
Senior level · 8+ 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
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 Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (4)
The experience requirement is stated as a two-tier gate: a Bachelor's degree plus 8+ years, OR a Bachelor's degree plus 12+ years, OR equivalent experience. The minimum hard gate is therefore 8 years with a degree (or 12 years without), so total experience minimum is set to 8.
The role blends editorial program/product management with AI evaluation work. It does not map cleanly to a single SOC code — 15-1299 (Computer Occupations, All Other) is used as the best fit for an AI content evaluation/editorial technology role; 11-3021 (Computer and Information Systems Managers) is a plausible alternative given the cross-functional leadership scope, though the posting reads more like a senior individual contributor than a people manager.
No concrete named technologies beyond AI/ML evaluation and prompt engineering are mentioned; the skills list reflects only what the posting explicitly names.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI/ML model evaluation.
Read the full posting
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