Principal Product Manager

Microsoft•,
•$142,800 - $304,200

About The Position

Microsoft is seeking a Principal Product Manager to lead the user experience strategy for its internal capacity intelligence and decision platform. The platform supports global compute capacity planning and allocation by combining trusted data, constraint-aware reasoning, and artificial intelligence. The role defines how planners, operators, and executives interact with data, workflows, and AI-powered experiences to make faster, more confident decisions. The position works across Product Management, Engineering, Data Science, and stakeholders in Azure Engineering, Supply Chain, Data Center, Finance, Sales, and Capacity Operations. It transforms complex operational systems into intuitive experiences and defines how users discover insights, navigate tradeoffs, understand recommendations, and act across important planning and operational workflows. The product leader is expected to simplify complex workflows, champion user-centered design, shape investments in AI-powered and data-driven experiences, and drive adoption among internal customers. Success is measured by helping users find answers faster, understand decisions more clearly, and act with greater confidence while reducing operational complexity.

Requirements

  • Bachelor's degree and 8+ years of experience in product management or software development, or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including 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, or 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, internal tool, or framework.
  • 6+ years of experience improving product metrics such as adoption, usage, user satisfaction, task completion, or operational effectiveness.
  • 6+ years of experience disrupting a market for a product, feature, or experience, such as through competitive disruption or replacing an established competing product.
  • Demonstrated experience defining data-rich, analytical, or decision-support products with user empathy, design judgment, and experience craft.
  • Experience using coding and design-assistive agents to build and test functional prototypes.
  • Demonstrated ability to lead across organizational boundaries, align diverse technical and business stakeholders, and influence decisions without direct authority.
  • Experience delivering agentic or AI-powered experiences.

Responsibilities

  • Set and communicate the experience direction for the capacity intelligence platform across data-rich interfaces, decision-support workflows, and agentic experiences, translating the direction into scenarios, prototypes, priorities, and shipped outcomes.
  • Serve as the product’s experience and design lead; establish interaction patterns, design principles, and quality standards for a coherent product.
  • Own and adapt the experience roadmap across feature areas, prioritize high-value user problems, manage dependencies, and make timely tradeoffs.
  • Define and deliver agentic experiences integrated with existing agents, agent harnesses, data platforms, and operational workflows; identify new capabilities and establish agent behaviors, evaluation criteria, and boundaries between autonomous action and human judgment.
  • Build and test ideas using coding and design-assistive agents to create functional prototypes, explore interaction models, and validate concepts with users; work with engineering and data science to bring successful prototypes to production.
  • Develop empathy for internal users through direct engagement, observation, rapid research, scenario walkthroughs, usage data, and telemetry; identify unmet needs and make complex decisions clear, efficient, and trustworthy.
  • Define and use measures for adoption, usability, trust, decision quality, and workflow effectiveness; continuously improve experiences using telemetry and user feedback while meeting accessibility, privacy, security, and responsible AI requirements.
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