Microsoft Logo

Microsoft

Principal Technical Program Manager, AI Supercomputer Operations

Posted 3 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
143K-304K Annually
Expert/Leader
Remote
Hiring Remotely in United States
143K-304K Annually
Expert/Leader
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.
The summary above was generated by AI
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.

Microsoft Cambridge, Massachusetts, USA Office

255 Main Street, Cambridge, MA 02142, Cambridge, United States, 02142

Similar Jobs

4 Minutes Ago
Easy Apply
Remote or Hybrid
California, USA
Easy Apply
113K-150K Annually
Senior level
113K-150K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Targets and closes new business with Fortune 1000 and other strategic customers. Builds enterprise relationships, uncovers cloud-scale technology challenges, sells Datadog solutions, negotiates pricing, expands existing accounts, develops pipelines, and maintains accurate forecasts. Requires enterprise technology sales experience, strong prospecting and closing skills, large-deal experience, and regular travel to client sites.
Top Skills: Command Of The MessageDatadogIt InfrastructureMeddicSaaS
6 Minutes Ago
In-Office or Remote
73K-130K Annually
Mid level
73K-130K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Strategically develops and writes competitive healthcare proposal responses by researching customer needs, articulating value propositions, incorporating product and financial information, and collaborating with sales and proposal teams. The role manages deadlines, reviews final proposals, uses RFP and marketing tools, and maintains knowledge of healthcare and managed care trends.
Top Skills: LoopioExcelMicrosoft WordQvidianResponsiveRfpio
6 Minutes Ago
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads engineering, strategy, and operational maturity for enterprise end-user experience observability platforms. Oversees network, application, synthetic, and service-path telemetry; improves monitoring, alerting, automation, and incident diagnosis; and integrates observability technologies. Partners with engineering, operations, cloud, infrastructure, and AI Operations teams while managing vendors and governance. Develops engineers and communicates platform performance and risks to senior leaders.
Top Skills: AiopsAnsibleAPIsCi/CdCisco ThousandeyesDnsGitGithub ActionsNetscout NgeniusoneNetscout NgeniuspulsePythonSd-WanTcp/Ip

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account