Principal Product Manager

Microsoft Microsoft · Big Tech · Redmond, WA +2 · Product Management

Principal Product Manager to define and drive the strategy for Vertical Knowledge Agents that combine structured data, licensed content, and AI grounding to deliver insights across Copilot, MSN, and Bing. The role involves influencing agent architecture, ranking frameworks, and multimodal UX, partnering with AI research and engineering to ship agentic experiences, and championing Responsible AI.

What you'd actually do

  1. Define and drive the vision for Vertical Knowledge Agents that unify structured data, licensed MSN content, and AI grounding to deliver authoritative and contextual insights in Copilot, MSN, and Bing.
  2. Influence end-to-end product direction, from agent architecture and ranking frameworks to multimodal UX experiences.
  3. Partner with AI Research, Design, and Engineering to develop, evaluate, and ship agentic experiences that turn information into proactive guidance.
  4. Establish evaluation metrics that balance grounding accuracy, user delight (SBS, CSAT), and business growth (DAU, retention, engagement).
  5. Scale experiences across surfaces through a unified grounding and data platform that powers both reactive (Copilot queries) and proactive (Discover, dashboards, notifications) intelligence.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Nice to have

  • Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
  • Proven success in building data-driven or AI-powered products at scale.
  • Demonstrated ability to translate complex AI/ML capabilities into intuitive user experiences.
  • Technical fluency with LLM-based evaluation loops and Responsible AI practices.
  • Domain experience in Finance, or News, or similar structured content domains.
  • Proven record of cross-functional leadership and multi-surface product delivery.
  • Deep passion for responsible and trustworthy AI.
  • Understands model behavior, grounding, and feedback loops; collaborates effectively with AI research and data science.

What the JD emphasized

  • agentic experiences
  • agent architecture
  • agentic pipeline
  • autonomous domain-aware agents
  • grounding accuracy
  • model behavior
  • grounding
  • feedback loops

Other signals

  • agentic experiences
  • reason across rich multimodal data
  • integrate advanced language models with authoritative content
  • develop Copilot-curated stories and autonomous domain-aware agents