Principal Product Manager- M365 Core

MicrosoftRedmond, WA
4d

About The Position

Join the M365 Copilot organization at the core of Microsoft’s AI strategy. Our team builds the foundational capabilities that power M365 Copilot—including orchestration, grounding, memory, agent collaboration, extensibility, and Copilot experience hosting, among others. If you’re energized by big, bold challenges, high‑impact product leadership, and fast‑paced execution at the epicenter of the AI transformation, this is your team. As a Principal Product Manager / PM Architect, you will define strategy and partner across engineering, applied science, design, product, and marketing to deliver breakthrough AI capabilities that transform the lives of hundreds of millions of users around the world. In this role, you will help foster a culture of experimentation, inclusion, and excellence. While this is not a people‑management position, it is a role of deep product and thought leadership. You will set the standard for what great AI‑forward product management looks like - balancing strategic vision with hands‑on execution, and long‑term thinking with rapid iteration. You will serve as a mentor and role model to a group of high‑performing PMs and engineers. The future is waiting to be built. Join us. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

  • Bachelor's Degree AND 8+ years experience in product management, 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.

Nice To Haves

  • 10+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 10+ 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).
  • 2+ years of direct, hands-on experience in coding, working with APIs/SDKs, or implementing software engineering solutions.
  • 2+ years experience & familiarity with AI/ML systems, evaluation, and responsible AI practices.
  • 2+ years experience building and designing AI systems - spanning orchestration layers, user experience, agent frameworks, and GenAI tools/platforms.

Responsibilities

  • Own strategy and roadmap for Microsoft’s most visible AI experiences - defining capabilities that unlock 1P innovation and 3P extensibility, at scale.
  • Deliver core AI platform capabilities (e.g., multi‑turn orchestration, grounding, memory, agent‑to‑agent collaboration, extensibility, etc.), define how we evaluate quality and trust, and scale responsibly across massive audiences.
  • Provide strategic direction across divisions: define business impact, success criteria, and long‑term investment opportunities; ensure teams engage the right partners and track measurable outcomes.
  • Guide customer‑centered product development: lead discussions with customers, drive scenario & product clarity, and oversee alignment of capabilities across divisions.
  • Drive go‑to‑market readiness: shape roll‑out plans, ensure robust customer & developer support, and anticipate future customer needs from ongoing feedback & usage.
  • Orchestrate cross‑org execution with engineering, applied science, design, and partner product teams to land complex, high impact experiences on time with clear milestones and crisp communication.
  • Mentor and be a role model for a team of high‑performing PMs and engineers, fostering a culture of clarity, creativity, inclusion, and accountability; set an example for AI‑forward product leadership that balances long‑term vision with rapid iteration.
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