Principal Product Manager

Microsoft is building next generation AI-powered skilling experiences to help individuals and organizations learn faster. As a Principal Product Manager, you will define the vision and strategy for AI skilling, lead cross-functional teams, and ensure the delivery of high-quality learning outcomes globally.

Responsibilities:

• 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

Requirements:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development + OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
• 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)