Principal Technical Program Manager - CoreAI
Microsoft
- Location
- United States, Washington, Redmond; United States, California, Mountain View
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 2,066 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
Overview
Business Group Overview CoreAI is creating the next era of computing, and that work runs on Azure capacity that has to stay ahead of the frontier. The most ambitious technical products in the world are built by small groups of exceptional people operating at peak clarity and pace, on a team defined not by titles but by capability, judgment, and the will to build. As a Principal Technical Program Manager in our Foundry Agent Platform organization, you will sit at the center of how we plan, secure, and execute the Azure capacity that powers Microsoft's AI platform. Job Purpose Overview You will own the execution strategy for Azure capacity management across Foundry Agent Platform, turning demand signals into forecasts, plans, and firm commitments while keeping engineering, product, and infrastructure leaders aligned on timelines and tradeoffs. This role is where clarity gets created: you will define what success looks like, drive delivery across teams, and build deep technical and business judgment in one of the fastest-moving areas of the company. You will also have flexible work options, including the ability to work from home up to half of the week, to support how you do your best work. Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
Own the end-to-end execution strategy for Azure capacity management across Foundry Agent Platform, aligning engineering, product, and infrastructure leadership on capacity forecasts, timelines, and tradeoffs. Drive Azure compute and accelerator capacity planning, forecasting, and allocation for AI workloads, translating demand signals into staging and implementation plans and partnering with supply and infrastructure teams to secure availability. Lead cross-functional delivery of large-scale, complex programs, tracking roadmaps and schedules, defining success criteria and metrics, and driving program health across multiple teams. Identify risks and dependencies early, propose data-driven mitigations, and course-correct without waiting, standardizing best practices for risk, governance, and release across teams. Partner directly with engineering leaders and the CVP organization to inform capacity and investment decisions, and to keep the organization aligned on metrics and release planning. Establish the operating rhythms, dashboards, and reporting that create clarity and measurable, cross-team impact at scale. Mentor senior TPMs and act as a multiplier for product and engineering leadership, shaping the execution culture of the organization.
Qualifications
Required Qualifications: Bachelor's Degree in a relevant field AND 6+ years of experience in engineering, product or technical program management, data analysis, or product development, OR equivalent experience. 3+ years of experience managing cross-functional or cross-team projects. Other Requirements: 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 Preferred Qualifications: Bachelor's Degree AND 10+ years of experience in engineering, product or technical program management, data analysis, or product development, OR equivalent experience, including 8+ years managing cross-functional or cross-team projects. Experience with cloud infrastructure, capacity planning or demand forecasting, and large-scale distributed systems, ideally on Azure. Demonstrated ability to operate in highly