Principal Product Manager, M365 Core

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. 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. 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. Integrate AI-informed analysis into strategic feature prioritization and investment decisions, with roadmap alignment tied directly to organizational and AI growth objectives. Define Key Performance Indicators (KPIs), Quality of Service (QoS) targets, and Service Level Agreements (SLA) metrics for platform areas owned. Track and report progress against them with rigor; use data to drive continuous strategy refinement. Modernize and improve resource utilization efficiency of M365 core platform services, leveraging Azure primitives to evolve the platform while managing continuity and blast radius. Drive cross-group collaboration across M365 to align on priorities and deliver outcomes that depend on partner divisions. Communicate platform strategy and investment rationale to senior decision-makers — Chief Vice President and Executive Vice President level — in a clear, compelling, and business-outcome-oriented way. Bachelor's Degree AND 8+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 12+ years of experience in product/service/program management or software development, OR equivalent experience. 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).