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Principal Product Manager

Set the North Star - Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics. Turn Insight into Product - Use qualitative and quantitative research...

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Microsoft US Source published Sep 10, 2026 Verified 1 week ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
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Principal Product Manager opportunity at Microsoft
DeadlineTue Mar 9 10:18 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

Set the North Star - Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics. Turn Insight into Product - Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs. Lead the Portfolio - Prioritize data informed investments; make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance. Build AI First Experiences - Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy. Raise the Bar on Quality - Establish measurement for engagement, learning outcomes, credential attainment, reliability, and performance; iterate based on evidence. Launch and Grow - Collaborate with Product Marketing and field teams to craft narrative

Full job description

Full Job Description

Set the North Star - Define the vision and strategy for AI skilling across learner, manager, and enterprise scenarios; translate it into clear success metrics. Turn Insight into Product - Use qualitative and quantitative research to uncover unmet needs and convert them into crisp scenarios, roadmaps, and MVPs. Lead the Portfolio - Prioritize data informed investments; make tradeoffs across content, platform, telemetry, cost/latency, privacy, and compliance. Build AI First Experiences - Partner with Design and Engineering to ship LLM powered features (recommendations, coach, pathways, assessment) that are usable, accessible, and trustworthy. Raise the Bar on Quality - Establish measurement for engagement, learning outcomes, credential attainment, reliability, and performance; iterate based on evidence. Launch and Grow - Collaborate with Product Marketing and field teams to craft narratives, land launches (e.g., major events), and drive adoption and retention. Win with Partners - Work with internal/external partners (e.g., content providers, platform teams) to expand catalog depth, credentials, and enterprise integrations. Model Reliable Product Leadership - Create clarity, build energy, and deliver results across multiple squads/epics through inclusive, transparent execution. Bachelor's Degree AND 8+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree in in Computer Science, Engineering, Human Computer Interaction, Data/AI, or related technical field or equivalent practical experience AND 12+ years of product leadership with enterprise SaaS/platform experience OR equivalent experience. Advance Degree in (e.g. MS in Computer Science, Engineering, Human Computer Interaction, Data/AI, or MBA ) is a plus. 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). 6+ years of experience end to end product management experience shipping largescale, cross functional products or platforms. 6+ years of experience leading product teams building consumer products. 6+ years of experience in machine learning and/or AI. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). Domain expertise in learning/skilling, credentials/assessment, or workforce development; familiarity with content pipelines and role based learning paths. Handson experience bringing generative AI to production (prompting, evaluation, safety & governance, cost/perf optimization). Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis). Demonstrated executive storytelling and external thought leadership (talks, blogs, community).

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