Group Product Manager

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Lead the Planner Enterprise roadmap and AI-first experiences that help organizations plan and execute work at scale across M365 and Teams—connecting ideas to plans to outcomes.

Microsoft’s Path organization powers work management and visual collaboration across Microsoft 365 and Teams—Project, Planner, To Do, Whiteboard, and Visio—contributing ~$2B in ARR. We’re creating the Future of Work with large language models and agentic AI to augment ideation, planning, and execution, bringing autonomous/async agentic AI collaborators into everyday work.

As a Group Product Manager in Planner team, you will help us define and build the Future of Microsoft Planner Enterprise and create the AI first premium capabilities that help customers fulfill their advanced project management needs, and back that with a strong business model, all this while maintaining a strong customer trust and continuity on a unified extensible platform. You’ll also influence how Planner interoperates with 1P/3P tools (e.g., across M365 and popular external systems) using frameworks like MCP and A2A.

This opportunity will allow you to accelerate your career growth in building AI / agentic experiences for Enterprises, develop deep business acumen and hone your customer engagement skills.

If this sounds like something you are interested, we welcome your application and look forward to connecting!

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field
  • OR equivalent experience.
    
• 14+ years in product management building and shipping cloud/enterprise software at scale.
• 6+ years leading PMs (people management) with proven cross‑functional leadership across Design/Engineering.
• Demonstrated ability to prioritize with data, define success metrics, and drive measurable product outcomes in complex environments.

Preferred Qualifications:

• Track record shipping AI or agentic experiences (LLMs, copilots, workflow/grounding) that improved task/plan outcomes or customer satisfaction.
• Experience with platform extensibility/integrations (Microsoft Graph, Teams apps, connectors/APIs) and interoperability with 3P tools (e.g., Jira/ADO).
• Depth in enterprise & compliance scenarios (permissions/auth, data boundary/sovereign cloud, tenant policies) turning constraints into product design.
• Solid customer/field engagement skills—executive briefings, partner alignment, GTM collaboration; ability to translate feedback/NPS into roadmap change.

• Engage deeply with customers and field—run executive readouts, synthesize feedback signals/NPS, and turn insights into roadmap changes that de‑risk large accounts and improve satisfaction.
• Hire, lead, and grow PMs—set crisp outcomes, mentor the team, and foster a culture of agility, iteration, and continuous learning.
• Own the Planner Enterprise premium roadmap end‑to‑end—craft strategy, define scenarios, and deliver features that unlock enterprise‑grade planning, portfolio visibility, and governance across M365/Teams. Be accountable for business impact, adoption, and customer trust.
• Build AI‑first project management experiences, including agentic capabilities (e.g., Project/Planner agents in meetings and plans) that accelerate planning, execution, and follow‑through with measurable outcomes. Partner with Loop/Teams and engineering/design to land coherent end‑to‑end scenarios.
• Champion enterprise, compliance, and regional requirements (e.g., sovereign cloud constraints, data residency, auth) by translating regulatory/tenant needs into product requirements and staged rollouts.
• Drive cross‑discipline execution—align v‑teams across PM/Design/Eng, partner orgs and field, and land clear prioritization with data‑informed decisions, stack‑ranking, and success criteria.