Principal Technical Program Manager, AI Supercomputer Operations

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
143K-304K Annually
Expert/Leader
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead end-to-end operations for large-scale AI training supercomputers, coordinating engineering, datacenter, business, and customer teams. Manage infrastructure availability, training reliability, incident response, repair and recovery, maintenance, operational readiness, SLAs, and customer commitments. Identify operational risks, lead recovery from complex issues, and convert lessons learned into scalable improvements in observability, automation, tooling, and fleet operations.
Summary Generated by Built In
Overview

The world’s most advanced Artificial Intelligence (AI) workloads depend on infrastructure that must operate reliably at unprecedented scale. Our team operates Microsoft’s largest AI supercomputers, partnering with strategic AI customers and engineering teams to deliver the reliability and operational excellence required for large-scale AI training and inference workloads.
As a Principal Technical Program Manager, AI Supercomputer Operations, you will lead the end-to-end operational programs for some of Microsoft’s most critical AI training supercomputers. You will serve as a trusted operational partner to strategic AI customers, bringing together customer priorities, infrastructure health, engineering execution, and business commitments to ensure training workloads run reliably.

This is a highly cross-functional and customer-facing role spanning infrastructure availability, training reliability, incident management, repair and recovery, planned maintenance, and operational readiness. You will partner across multiple engineering teams, Business Development, and datacenter teams to manage operational risk and translate customer requirements and operational challenges into investments that improve infra reliability and scalability.


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

Qualifications

Required Qualifications:

  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 3+ years of experience managing cross-functional and/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 thereafter.

Preferred Qualifications:

  • Bachelor's Degree AND 12+ years experience engineering, product/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(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
  • 1+ year(s) experience leading large, technically complex programs across multiple engineering organizations.
  • 1+ year(s) experience with AI/ML infrastructure, high-performance computing, GPU infrastructure, distributed training, or hyperscale cloud platforms.
  • 1+ year(s) experience with reliability engineering, incident management, infrastructure maintenance, or fleet operations.
  • 1+ year(s) experience defining and driving operational metrics, SLAs, or other contractual service commitments.
  • 1+ year(s) experience translating operational needs and recurring challenges into scalable and automated engineering solutions. 

#azurecorejobs


Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • 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
  • Pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
  • 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
  • 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

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

Similar Jobs

Shield AI Logo Shield AI

Capture Manager

Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Remote
USA
280K-420K Annually

Headway Logo Headway

Senior Engineering Manager

Consumer Web • Healthtech • Professional Services • Social Impact • Software
Remote
USA
819 Employees
265K-332K Annually

Headway Logo Headway

Vendor Operations Lead, CX

Consumer Web • Healthtech • Professional Services • Social Impact • Software
Remote
USA
819 Employees
95K-140K Annually

General Motors Logo General Motors

Field Warranty Manager -Phoenix, AZ

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
United States
165000 Employees

Similar Companies Hiring

Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account