Technical Program Manager, Supercomputing

At Microsoft AI, we build the frontier models and products that reach millions of people, from pretraining through post-training, evaluation, and launch. The infrastructure behind this work operates at massive scale, requiring tight coordination across datacenter buildout, capacity delivery, cluster bring-up, platform readiness, and production operations. 

We are looking for a Technical Program Manager for Supercomputing to organize and drive the end-to-end portfolio required to deliver and operate the large-scale AI infrastructure supporting Microsoft AI. 

This role will connect programs across the full infrastructure lifecycle: 

Buildout → Bring-up → Operationalize 

You will partner closely with MAI leadership, Supercomputing engineering teams, capacity and infrastructure owners, and Azure partner organizations to translate MAI strategy and capacity needs into coordinated execution across infrastructure delivery, cluster readiness, validation, and production operations. 

This role will establish operating mechanisms that connect priorities, execution, risks, dependencies, and decision-making across Supercomputing programs. 

You will need enough technical depth to engage credibly across datacenter infrastructure, compute, GPU systems, networking, storage, cluster bring-up, schedulers, platform services, and production operations, combined with the program leadership required to drive complex initiatives across organizational boundaries. 

What You'll Do 

As a TPM for Supercomputing, you will help establish the program architecture and operating rhythm connecting MAI infrastructure priorities to execution. 

You will organize Supercomputing programs around the lifecycle of capacity, from datacenter and infrastructure buildout, through cluster bring-up and validation, to production operationalization and ongoing health. 

You will establish clear milestones, ownership, dependencies, readiness criteria, risks, and decision points across these stages so that leadership has an integrated view of whether capacity will arrive when needed and be usable by MAI workloads. 

A central part of the role will be driving the partnership between MAI and Azure. You will build strong relationships across Azure partner organizations, establish effective engagement and escalation mechanisms, clarify cross-organizational dependencies, and ensure MAI requirements and priorities are represented in joint infrastructure planning and execution. 

You will connect priorities to the operating cadence of Supercomputing programs, helping teams identify systemic gaps, resolve cross-team dependencies, and maintain accountability for key outcomes. 

Responsibilities 

• Own the end-to-end Supercomputing program portfolio across Buildout → Bring-up → Operationalize, creating a clear lifecycle from infrastructure delivery through production readiness and ongoing operations. 

• Translate MAI strategy, model roadmaps, and capacity requirements into coordinated Supercomputing priorities, milestones, dependencies, and execution plans. 

• Establish the program structure connecting datacenter buildout, capacity delivery, hardware and network readiness, cluster bring-up, validation, workload certification, and transition into production. 

• Define clear readiness gates and exit criteria between Buildout, Bring-up, and Operationalize so that capacity transitions predictably between teams and stages. 

• Drive cross-functional execution across Supercomputing, AI Infrastructure, capacity, datacenter, compute, networking, storage, scheduling, platform, and operations teams. 

• Lead Azure partner engagement for Supercomputing, establishing operating rhythms, ownership models, escalation paths, dependency tracking, and joint planning mechanisms between MAI and Azure organizations. 

• Represent MAI requirements and priorities in Azure infrastructure discussions and ensure partner commitments, risks, and dependencies are visible to Supercomputing leadership. 

• Create an integrated portfolio view of capacity, milestones, readiness, risks, dependencies, and operational health, enabling leadership to quickly identify where intervention or decisions are required. 

• Proactively identify cross-program risks and systemic bottlenecks spanning infrastructure buildout, cluster readiness, capacity availability, validation, and production operations. 

• Establish executive operating mechanisms including portfolio reviews, milestone and readiness reviews, risk reviews, partner reviews, and leadership decision forums. 

• Connect Supercomputing priorities with execution and ensure decisions translate into clear ownership, actions, and measurable outcomes. 

• Drive alignment without formal authority across MAI and Azure organizations, establishing accountability around shared infrastructure and capacity outcomes. 

• Communicate Supercomputing strategy, portfolio health, critical milestones, risks, trade-offs, and decisions to senior leadership in a concise and actionable manner. 

Qualifications 

• Significant experience in technical program management, infrastructure engineering, capacity delivery, datacenter infrastructure, HPC, AI infrastructure, or large-scale distributed systems. 

• Demonstrated experience leading large, complex portfolios spanning multiple engineering and infrastructure organizations. 

• Experience driving programs across multiple stages of an infrastructure lifecycle, such as capacity planning, datacenter buildout, infrastructure delivery, cluster bring-up, validation, production readiness, and operations. 

• Technical fluency in large-scale AI/HPC infrastructure, including areas such as accelerators, compute, networking, storage, schedulers, capacity, telemetry, datacenter infrastructure, and distributed systems. 

• Demonstrated ability to translate organizational strategy and technical requirements into structured programs, milestones, dependencies, readiness criteria, and execution mechanisms. 

• Experience managing complex cross-organizational dependencies and driving execution where ownership is distributed across multiple teams. 

• Strong ability to build relationships and influence engineering and infrastructure organizations without formal authority. 

• Experience establishing executive operating rhythms, portfolio reviews, risk-management mechanisms, and decision frameworks. 

• Excellent written and verbal communication skills, with the ability to translate complex infrastructure topics into clear outcomes, risks, decisions, ownership, and actions for leadership. 

Preferred Qualifications 

• Experience delivering GPU or accelerator-based AI/HPC capacity at datacenter or fleet scale. 

• Experience coordinating infrastructure programs spanning datacenter construction/buildout, hardware deployment, networking, storage, cluster bring-up, validation, and production operations. 

• Experience partnering across large cloud-provider organizations on infrastructure delivery, capacity management, or production readiness. 

• Experience establishing portfolio-level mechanisms for capacity planning, cluster readiness, utilization, reliability, and operational health. 

• Experience serving as a TPM for a technically complex engineering or infrastructure organization. 

Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year