Principal Product Manager

Microsoft•,
•$142,800 - $304,200

About The Position

The Principal Product Manager will drive end-to-end capacity delivery across Microsoft’s AI infrastructure portfolio, including strategic NeoCloud partnerships and large-scale GPU deployments. The role spans cloud infrastructure, engineering execution, product strategy, and operational excellence, owning complex infrastructure programs from planning and contract commitments through customer-ready capacity delivery. The position collaborates with engineering, supply chain, datacenter operations, networking, finance, and strategic partners. The role requires technical curiosity and rigor, the ability to work through ambiguity, and a focus on transformation and measurable business impact. In addition to delivering infrastructure at scale, the Product Manager will help shape intelligent buildout systems by applying automation, AI, and agentic workflows to improve predictability, optimize effort, and accelerate Dock-to-Live execution.

Requirements

  • Bachelor's degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

  • Bachelor's degree and 12+ years of experience in product/service/program management or software development, or equivalent experience.
  • 4+ years of experience taking a product, feature, or experience to market, including design, product-market fit, and launch of a product or internal tool/framework.
  • 6+ years of experience improving product metrics, such as growing a customer base, expanding usage, or avoiding churn.
  • 6+ years of experience disrupting a market for a product, feature, or experience, such as through competitive disruption or replacing an established competing product.
  • 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 experience leading complex, cross-functional technical programs from strategy and requirements through deployment and production readiness, driving roadmaps, dependencies, risk management, predictable execution, and measurable business outcomes across multiple organizations.
  • Demonstrated ability to influence senior and executive stakeholders, navigate 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.

Responsibilities

  • Own, define, and drive 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, risks, tradeoffs, and recovery plans to senior Microsoft leaders and customer stakeholders using 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 deliver strategic capacity commitments predictably.
  • Develop scalable processes, automation, telemetry, and deployment mechanisms to improve predictability, quality, and time to production.
  • Partner with senior leaders to frame technical and business tradeoffs, establish decision points, and resolve critical issues promptly.
  • Establish and maintain integrated execution plans, risk management mechanisms, milestone tracking, and operational review cadences.
  • Identify delivery bottlenecks, resolve issues, 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 supporting Microsoft's long-term AI infrastructure strategy.
  • Communicate complex technical and business issues clearly to executive audiences.
  • Act as a force multiplier by identifying opportunities others miss and driving durable solutions.

Benefits

  • Certain roles may be eligible for benefits and other compensation; additional benefits and pay information is available through the linked Microsoft careers page.
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