Principal Product Manager, M365 Core

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

Principal Product Manager for Microsoft 365 Core Platform, focusing on infrastructure (Data Availability, Durability, Reliability, Data Protection, Resource Efficiency, Capacity Modeling, Infra Provisioning, Degradations, Modernization) to support AI and agentic workloads like Copilot and Agent 365. The role involves defining product vision and strategy, driving roadmap for platform evolution to meet AI/agentic demands, and ensuring the platform scales effectively for these new scenarios.

What you'd actually do

  1. Work with core M365 platform engineering teams to deliver a secure, continuously available, durable, performant, and hyperscale storage platform operated cost-effectively — enabling best-in-class experiences for M365 product customers and Copilot-era AI workloads.
  2. Define and drive the platform's evolution to support agentic and AI growth: identifying where current architecture creates retrieval latency, freshness, or capacity constraints for Copilot, Agent 365, and Microsoft Graph — and owning the roadmap to close those gaps ahead of demand.
  3. Craft a compelling product vision and multi-year strategy for M365 Fleet Infrastructure. Use AI-informed analysis, platform telemetry, and partner signals to rally engineering and leadership around a coherent direction.
  4. Take end-to-end ownership of key business scenarios — from problem definition and investment framing through technical solution design, partner adoption strategy, and measurable outcomes. Drive clarity in ambiguous spaces and alignment across team and leadership.
  5. Integrate AI-informed analysis into strategic feature prioritization and investment decisions, with roadmap alignment tied directly to organizational and AI growth objectives.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
  • Ability to meet Microsoft, customer and/or government security screening requirements

Nice to have

  • Bachelor's Degree AND 12+ years of experience in product/service/program management or software development
  • 8+ years of experience driving product strategy and roadmap ownership for platform, infrastructure, or AI/ML systems at hyperscale.
  • Experience with AI or agentic workload patterns — retrieval-augmented generation, semantic search, vector or graph storage, stateful agent context — and how platform design choices affect AI product quality and AI user experience.
  • Demonstrated ability to influence cross-group strategy and drive alignment across large, matrixed organizations without direct authority, including at senior engineering and business leadership levels.
  • Track record of translating complex infrastructure investment decisions into executive-level business narratives tied to measurable AI or product outcomes.
  • 6+ years' experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).

What the JD emphasized

  • AI growth
  • agentic and AI growth
  • AI-informed analysis
  • AI or agentic workload patterns
  • AI product quality
  • AI user experience
  • AI or product outcomes
  • AI workloads

Other signals

  • enabling AI and agentic era
  • scale for AI and agentic era
  • AI-driven scenarios
  • Copilot, Agent 365