Group Product Manager-ai Skilling

Microsoft Microsoft · Big Tech · San Francisco, CA +4 · Product Management

Group Product Manager responsible for setting the vision, strategy, and roadmap for AI-powered skilling experiences. This role involves partnering with Design and Engineering to ship LLM-powered features, defining success metrics, prioritizing investments, and driving adoption and retention of AI learning products.

What you'd actually do

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

Skills

Required

  • Bachelor's Degree AND 10+ years of experience in product/service/program management or software development OR equivalent experience.
  • 3+ years people management experience.

Nice to have

  • Bachelor's Degree AND 15+ years of experience in product management OR equivalent experience.
  • 12+ years of product management experience building and scaling customer-facing products from 0 to 1 and 1 to N, across both startup and enterprise environments.
  • 5+ years of people management experience leading Product Managers or product leaders.
  • Proven track record of owning product vision, multi-year strategy, and portfolio-level prioritization, with measurable customer and business impact.
  • Experience building and shipping AI or data-powered products, with clear understanding of quality, safety, and cost/latency tradeoffs.
  • Proficient product sense grounded in customer insight (qualitative and quantitative) and the ability to translate that into scenarios, MVPs, and scalable systems.
  • Demonstrated ability to drive growth and adoption, including go-to-market strategy, product positioning, and experimentation.
  • Proficient cross-functional leadership and influence, with the ability to align Engineering, Design, Marketing, and executive stakeholders.
  • Experience in learning, skilling, credentials, or workforce development, or adjacent platforms involving content ecosystems and user journeys.
  • Well-Developed foundation in experimentation

What the JD emphasized

  • AI-powered skilling
  • LLM powered features
  • AI or data-powered products
  • customer insight
  • product vision
  • multi-year strategy
  • portfolio-level prioritization

Other signals

  • AI-powered skilling experiences
  • LLM powered features
  • AI or data-powered products