Principal Product Manager

Microsoft is seeking a Principal Product Manager in its Azure Supercomputing and AI Infrastructure Products organization. The role drives end-to-end capacity delivery for AI infrastructure, including GPU deployments and strategic partnerships, while coordinating cross-functional teams and improving delivery through automation, AI, and operational systems.

Responsibilities:

• Own, Define, and drive the end-to-end strategy and execution for large-scale GPU and AI cluster buildouts, from capacity planning and infrastructure readiness through deployment, validation, and production handoff. Communicate program strategy, roadmap, progress, risk, tradeoffs, and recovery plans to senior Microsoft leaders and customer stakeholders through concise, data-driven narratives
• Lead delivery of supercomputer-class infrastructure for strategic customers, translating business and customer requirements into infrastructure plans, milestones, dependencies, acceptance criteria, and measurable outcomes
• Partner with hardware and software engineering, capacity planning, supply chain, data center infrastructure, networking, operations, finance, and customer-facing teams to predictably deliver strategic capacity commitments
• Develop scalable processes, automation, telemetry, and deployment mechanisms that improve delivery predictability, deployment quality, and time to production
• Partner with senior leaders to frame complex technical and business tradeoffs, establish clear decision points, and drive timely resolution of critical issues
• Establish and maintain integrated execution plans, risk management mechanisms, milestone tracking, and operational review cadences
• Identify delivery bottlenecks, drive issue resolution, and accelerate execution across organizational boundaries
• Identify opportunities to apply AI, automation, and agentic workflows to infrastructure delivery processes
• Challenge existing assumptions and workflows, using data and customer outcomes to redefine how work gets done
• Navigate ambiguity and competing priorities to deliver outcomes that support Microsoft’s long-term AI infrastructure strategy. Communicate complex technical and business issues clearly to executive audiences
• Act as a force multiplier for the organization by identifying opportunities others miss and driving durable solutions

Requirements:

• Bachelor's Degree AND 8+ years experience in product/service/program management or software development
  • 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
• Bachelor's Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
• 6+ 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)
• 6+ years experience disrupting a market for a product, feature, or experience
• 10+ years of experience in product management, technical program management, infrastructure engineering, or related technical leadership roles, including leading large-scale cloud, AI/GPU, HPC, datacenter, networking, or distributed-systems initiatives
• 5+ years of proven experience leading complex, cross-functional technical programs from strategy and requirements through deployment and production readiness, driving roadmaps, critical dependencies, risk management, execution predictability, and measurable business outcomes across multiple organizations
• Demonstrated ability to influence senior and executive stakeholders, navigate complex technical and business tradeoffs, and drive innovation through automation, AI-powered systems, operational intelligence, or other solutions that improve scale, cycle time, efficiency, and operational rigor