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Director Product Management (Artificial Intelligence Hardware)

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted January 22, 2026
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Job Description

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross team collaboration, with business insight and strategy? Join the Strategic Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live. We are looking for a Director Product Manager (Artificial Intelligence Hardware) to join our team!

Job Responsibility

  • Collaborate with customers and partner organizations to define future generations of Artificial Intelligence (AI) Hardware for Azure at Microsoft
  • Lead the strategic product vision, roadmap and product requirements for our next generations of AI hardware platforms
  • Identify and prioritize customer needs, market opportunities, and competitive gaps, and translate them into clear and actionable product requirements and specifications
  • Drive executive decision making for new investments, including competitive analysis, program goals and business requirements, architectural concepts, risk management strategies, financial analysis, schedule and hardware strategy
  • Lead technical programs from concept to execution, collaborating with architecture, engineering and business teams to develop and drive end-to-end product development
  • Develop and maintain a high level of technical proficiency in AI workload requirements, AI technology landscape and AI Industry roadmaps
  • Engage with senior leadership, highlighting risks across functional teams and providing recommendations to support product level decisions
  • Operate effectively in ambiguity. Apply process where it creates value, and design process where it’s needed. Recognize the situations where each approach is most appropriate

Requirements

  • Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development OR equivalent experience
  • 3+ years of experience working on AI systems as an architect or a product manager
  • 7+ years of technical product management experience, including products within datacenter Hardware systems and/or Cloud infrastructure
  • 7+ years experience creating product roadmap(s) from conception to launch, driving end-to-end program execution, defining product go-to-market strategy, and leading program direction discussions
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Nice to have

  • Bachelor's Degree AND 10+ years of experience in product/service/project/program management or software development OR equivalent experience
  • Understanding of several of the below areas: GPU Architecture, Scale Up and Scale out networking, Data Center Specifications, Model Architecture and System Reliability
  • Experience leading teams in silicon, Hardware systems & Software ecosystem setup within technical contexts
  • Ability to deal with disparate stakeholders in highly ambiguous situations and drive clear results and progress
  • Understanding and passion for program management including presentation skills and written communication
  • ability to build relationships and influence in a matrix organization
  • managing cross team deliverables including program costs, schedules, risks and issues mitigation, establishing process and framework for large scale collaboration

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