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Director, AI Infrastructure Strategy & Operations - AI Experiences

Microsoft· Business Strategy
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Mountain View, CA, Redmond, WA$155.8k - $277.2kFull-timePosted 2w ago

About the role

Strategic and analytical leadership role to plan, allocate, and manage AI infrastructure (GPU capacity and related resources) powering Microsoft AI Experiences (AIX) across Copilot, Bing, Edge, and partner surfaces. Responsible for forecasting, resource allocation frameworks, governance, and aligning infrastructure investments with product outcomes and business priorities.

Responsibilities

  • Lead forecasting and planning for GPU capacity and other AI infrastructure resources across AIX.
  • Develop demand models that incorporate product roadmaps, user growth, model transitions, workload characteristics, and migration plans.
  • Create and maintain frameworks for evaluating, prioritizing, and allocating constrained infrastructure resources across products and business priorities.
  • Drive governance processes for infrastructure requests, allocation decisions, escalations, and executive reviews.
  • Partner with Product, Engineering, Infrastructure, and Finance teams to connect infrastructure investments to business outcomes, including engagement, quality, revenue, efficiency, and customer experience.
  • Build quantitative models, scenario analyses, and business cases to support investment and resource-allocation decisions.
  • Define and improve telemetry, reporting, and dashboards required to understand infrastructure utilization, capacity, throttling, costs, and business impact.
  • Lead cross-organizational initiatives involving infrastructure migrations, workload transitions, capacity reallocations, and cost-optimization efforts.
  • Identify capacity risks early and develop mitigation strategies that preserve business objectives while improving efficiency.
  • Translate complex technical and operational information into clear recommendations and executive-ready communications.

Qualifications

  • Master’s Degree in Business, Economics, Finance, Engineering, Computer Science, Data Science or related field AND 6+ years experience in strategy, business planning, finance, product management, operations, or program management OR Bachelor’s Degree in same fields AND 8+ years of experience in those areas OR equivalent experience.
  • 6+ years of experience with AI infrastructure, cloud capacity planning, model serving, inference, training, or distributed systems.
  • 6+ years of experience building business cases and ROI models for technology investments.
  • 6+ years of experience partnering closely with Product, Engineering, and Finance organizations.
  • 6+ years of experience with SQL, Python, Power BI, Kusto, Excel, or other analytical tools.
  • Experience operating in fast-paced, highly ambiguous environments and creating structure where processes do not yet exist.

Skills

Required:ForecastingDemand modelingResource allocation frameworksGovernanceStakeholder collaboration

Benefits

  • There is a different base pay range applicable to San Francisco Bay Area and New York City metropolitan area.
  • Certain roles may be eligible for benefits and other compensation.
  • Base pay ranges provided: USD $155,800 - $277,200 per year nationwide; USD $202,400 - $303,600 per year for SF Bay Area and NYC metro areas.
Last updated Oct 9, 2026. Interested? Apply on the company site.

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