AI Capacity Operations Manager
Microsoft
- Location
- United States, Washington, Redmond
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 2,066 approvals (FY2023)
- Posted
- 1h ago
Skills
About this role
Overview
MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market. Want to help shape the AI era? AI and cloud technologies are transforming industries, and Microsoft helps customers seize that opportunity. Trusted for mission-critical workloads, Azure provides a secure, responsible path to build with AI — with AI and non-AI capacity as a strategic lever for success. The AI Capacity Operations Manager is responsible for driving the strategy, execution, and operational excellence of AI model capacity programs across Microsoft AI platforms. This role serves as the connective tissue between Engineering, Finance, Capacity Planning, Product Groups, Sales, and Operations to ensure AI models are deployed, prioritized, governed, and scaled in alignment with customer demand and business objectives. This is part of AI and non-AI Cloud Capacity Programs Team. The role combines capacity strategy, business operations, process automation, data-driven decision making, and executive stakeholder management to maximize customer impact, accelerate revenue realization, and improve operational efficiency for AI model capacity. The successful candidate will build repeatable processes, influence across organizations, and create scalable systems that transform AI capacity management from reactive operations into strategic business enablement. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Program Strategy & Execution Lead end-to-end AI model capacity programs, including demand management, prioritization, allocation, governance, and resource optimization. Drive cross-functional execution across Engineering, Capacity Planning, Finance, Product, Data & AI GTM, and Shared Services teams to ensure successful delivery of strategic capacity initiatives. Partner with stakeholders to align capacity investments and resources with business objectives, customer demand, revenue opportunities, and organizational priorities. Contribute to long-range planning by evaluating capacity trends, business requirements, and future growth needs to support scalable operations. Business Planning & Operational Excellence Establish and optimize operating rhythms, business processes, governance frameworks, and decision-making mechanisms that improve execution transparency, accountability, and business performance. Identify operational bottlenecks and implement process simplification, automation, and continuous improvement initiatives to increase efficiency and scalability. Drive operational readiness and execution excellence across capacity planning workflows and business programs. Analytics, Insights & Decision Support Develop and deliver data-driven insights, forecasting models, dashboards, executive reporting, and business reviews that inform capacity planning, investment decisions, and strategic priorities. Leverage business metrics and performance indicators to identify risks, opportunities, and trends, enabling informed decision-making across stakeholders. Monitor program health, measure outcomes, and provide