Director, AI Infrastructure Strategy & Operations AI Experiences

Microsoft AI Experiences (AIX) is building the future of AI experiences across Copilot Bing Edge and partner surfaces that reach hundreds of millions of people.

As AI products grow in reach and sophistication access to compute and infrastructure is increasingly central to product strategy customer experience and business performance. We are looking for a strategic and analytical leader to shape how AIX plans allocates and manages the infrastructure that powers our AI experiences.

This role sits within the AIX Strategy organization and will lead cross-functional planning and decision-making for GPU capacity and related infrastructure investments. Working across Product Engineering Finance and Infrastructure teams you will develop forecasting models establish resource-allocation frameworks drive infrastructure governance and ensure capacity investments are aligned to business priorities and product outcomes.

The ideal candidate combines strong strategic thinking quantitative rigor business judgment and operational excellence. They are equally comfortable discussing infrastructure constraints with engineering teams evaluating business tradeoffs with finance partners and presenting recommendations to senior executives.

AI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• 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 the 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.

Required Qualifications:

• Masters 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 Bachelors Degree in Business Economics Finance Engineering Computer Science Data Science or related field AND 8 years of experience in strategy business planning finance product management operations program management

  • 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.

Preferred Qualifications: