Principal Technical Program Manager, AI Supercomputer Operations

Microsoft • ,

6d • $142,800 - $304,200

About The Position

The Principal Technical Program Manager, AI Supercomputer Operations, leads end-to-end operational programs for Microsoft’s critical AI training supercomputers. The role partners with strategic AI customers and engineering teams to deliver reliable infrastructure and operational excellence for large-scale AI training and inference workloads.

This cross-functional, customer-facing role spans infrastructure availability, training reliability, incident management, repair and recovery, planned maintenance, and operational readiness. The program manager coordinates engineering, Business Development, and datacenter teams to manage operational risk and translate customer requirements and operational challenges into investments that improve infrastructure reliability and scalability.

Requirements

• Bachelor's degree 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 and/or cross-team projects.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Bachelor's degree and 12+ years of experience in engineering, product or technical program management, data analysis, or product development, or equivalent experience.
• 8+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year of experience reading and/or writing code, such as for sample documentation or product demos.
• 1+ year of experience leading large, technically complex programs across multiple engineering organizations.
• 1+ year of experience with AI/ML infrastructure, high-performance computing, GPU infrastructure, distributed training, or hyperscale cloud platforms.
• 1+ year of experience with reliability engineering, incident management, infrastructure maintenance, or fleet operations.
• 1+ year of experience defining and driving operational metrics, SLAs, or other contractual service commitments.
• 1+ year of experience translating operational needs and recurring challenges into scalable and automated engineering solutions.

Responsibilities

• Lead end-to-end operations for large-scale AI training supercomputers, establishing priorities, operating rhythms, accountability, and cross-team execution.
• Drive execution of critical AI training workloads by identifying infrastructure risks and coordinating teams to protect availability, reliability, and training progress.
• Serve as an operational partner to strategic AI customers, building relationships, communicating during high-pressure situations, and translating customer priorities and feedback into action.
• Deliver on customer and SLA commitments using operational and reliability metrics to assess performance, identify risks, and drive corrective actions.
• Lead response and recovery for complex infrastructure issues, coordinating engineering teams to mitigate customer impact and restore capacity.
• Turn operational learnings into scalable solutions by improving observability, automation, tooling, and operational processes across the Azure supercomputing fleet.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal