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We’re building next generation AI-powered skilling experiences that help people and organizations learn faster, prove what they know, and keep pace with Ai driven work. As a Principal Product Manager, you’ll set the vision, shape the roadmap, and lead cross functional teams to deliver delightful, measurable learning outcomes on a global scale.
Job Responsibility:
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
Embody our culture and values
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
Microsoft Cloud Background Check
Bachelor's Degree 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
6+ years experience improving product metrics for a product, feature, or experience in a market
6+ years experience disrupting a market for a product, feature, or experience
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
Nice to have:
Advance Degree in (e.g. MS in Computer Science, Engineering, Human Computer Interaction, Data/AI, or MBA) is a plus
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)