Partner Product Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Product Management

Partner Product Manager for Microsoft Dynamics 365 Sales, focusing on leading the product vision and strategy for AI Agents and Copilot capabilities. The role involves driving execution, managing a team of PMs, championing customer needs, and ensuring operational excellence for enterprise-grade AI solutions.

What you'd actually do

  1. Set product vision & strategy for the “build” side and align it with company goals.
  2. Own the Copilot/AI agents surface. The role operates at the intersection of enterprise-grade reliability, AI innovation and global scale
  3. Drive execution excellence—ship criteria, customer-driven quality gates, workbacks for executive reviews, and transparent status, working with an extremely capable and proven engineering team.
  4. Lead leaders—hire, grow, and coach PM; set standards for product craft and decision quality; be accountable for Rhythm of Business
  5. Champion customers—run structured previews/councils, close the loop on signals, and represent with field and community.

Skills

Required

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

Nice to have

  • Bachelor’s Degree AND 12+ year experience in product management with 8+ years leading teams
  • Proven track record shipping large-scale CRM Sales software having in-depth functional expertise in the Sales Domain
  • Demonstrated leadership across engineering/design/PM in executive forums.
  • Exposure to AI-assisted product experiences and agent/Copilot-style integrations.
  • Depth in enterprise requirements (policy, governance, data protection, compatibility).
  • Experience with measurable improvements to client performance, reliability, accessibility, and security at scale.
  • Strength in customer programs, external evangelism, and crisp product narratives.
  • Familiarity with Microsoft planning and quality rhythms (e.g., OKRs, ADO, ship gates).

What the JD emphasized

  • enterprise-grade reliability
  • AI innovation
  • global scale
  • customer-driven quality gates
  • proven engineering team
  • executive forums
  • enterprise requirements
  • measurable improvements to client performance, reliability, accessibility, and security at scale

Other signals

  • AI Agents
  • Generative AI
  • Predictive Analytics
  • Copilot