Microsoft

Senior Technical Program Manager, Global AI Scaling

Microsoft$119K — $234K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree AND 4+ years in engineering, technical program management, or related fields
  • 2+ years managing cross-functional projects
  • Bachelor's Degree in a relevant field preferred, with 6+ years of experience
  • Knowledge of datacenter power, cooling, and networking infrastructure
  • Experience with GPU-based infrastructure and AI hardware deployments
  • Ability to influence outcomes across diverse organizations without direct authority
  • Passion for addressing complex technical challenges in cloud and AI infrastructure

Responsibilities

  • Lead readiness efforts for next-gen GPU infrastructure and incorporate requirements into deployment plans
  • Partner with teams to assess impacts of new AI hardware technologies
  • Support development of deployment methodologies to enhance speed and scalability
  • Establish scalable processes for global deployment of GPU technologies
  • Conduct feasibility assessments for emerging AI platforms
  • Resolve complex datacenter infrastructure and operational challenges
  • Translate technical risks and challenges into actionable leadership recommendations
  • Utilize lessons learned from AI infrastructure deployments to improve future efficiencies

Benefits

  • Comprehensive health and wellness programs
  • Professional development and training opportunities
  • Flexible work arrangements
  • Collaborative and inclusive work environment
  • Access to innovative projects in AI and cloud technology
Full Job Description
Responsibilities

We are seeking a Senior Technical Program Manager, Global AI Scaling to drive CO+I readiness to scale the next generations of AI hardware into our global datacenter infrastructure. In this role, you will drive technical readiness for emerging GPU technologies, partnering across engineering, infrastructure, supply chain, and deployment organizations to enable rapid global adoption of new AI platforms. You will help define how new technologies are introduced into Microsoft's datacenter ecosystem, ensuring infrastructure, deployment, supply chain and operational capabilities evolve to meet the demands of rapidly evolving AI workloads.

This role requires a technically strong leader who can navigate complex infrastructure challenges, drive alignment across diverse stakeholders, and simplify complex topics into clear recommendations to support effective leadership decision-making.
Responsibilities
  • Lead readiness efforts for next-generation GPU infrastructure, ensuring datacenter, deployment, operational, and supply chain requirements are understood and incorporated into future deployment plans.
  • Partner across engineering, supply chain, datacenter design, deployment, and operations teams to assess the impact of new AI hardware technologies and enable successful global adoption at scale.
  • Support development of improved deployment methodologies to increase speed, predictability, scalability, and operational readiness for future generations of AI infrastructure.
  • Collaborate with stakeholders to establish scalable processes and frameworks that support rapid worldwide deployment of new GPU technologies.
  • Drive infrastructure-related feasibility assessments for new programs, identifying technical risks, dependencies, constraints, and readiness gaps associated with emerging AI platforms.
  • Lead cross-functional efforts to resolve complex technical challenges related to datacenter infrastructure, power, cooling, deployment readiness, and operational scale.
  • Translate technical risks, infrastructure tradeoffs, and deployment challenges into actionable recommendations for leadership and partner organizations.
  • Capture and operationalize lessons learned from large-scale AI infrastructure deployments to improve future delivery efficiency, quality, and scalability.
  • Drive alignment across a broad range of stakeholders to identify practical, technically sound solutions that balance business objectives, deployment timelines, and infrastructure constraints.
  • Contribute to planning and execution activities that shape Microsoft's future AI infrastructure deployment capabilities.


Qualifications

Required Qualifications:
  • Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 2+ 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 in Electrical Engineering, Mechanical Engineering, Computer Science, Industrial Engineering, Business or related field AND 6+ years of experience in Technical Program Management, Engineering, Product Management, Infrastructure Delivery, Hardware Deployment, Datacenter Infrastructure, Technology Strategy or related disciplines
    • OR equivalent experience
  • Experience with datacenter power systems, cooling systems, networking infrastructure, electrical systems, or facility design considerations
  • Experience with GPU-based infrastructure, AI clusters, accelerated computing platforms, or large-scale AI hardware deployments
  • Experience evaluating infrastructure feasibility, deployment readiness, operational readiness, or technology introduction programs
  • Experience supporting the launch and scaling of new technology platforms in production environments
  • Knowledge of supply chain planning, manufacturing, deployment operations, or infrastructure scaling processes
  • Experience working across engineering, operations, and business organizations to deliver complex technology programs
  • Passion for solving difficult technical problems and enabling the next generation of cloud and AI infrastructure
  • Experience with hyperscale cloud infrastructure, AI infrastructure, datacenter delivery, hardware deployment, or large-scale technology deployment programs
  • Experience driving ambiguous technical challenges to resolution through structured analysis, technical leadership, and cross-functional collaboration
  • Demonstrated ability to influence outcomes and drive alignment across organizations without direct authority

#COICareers | #EPCCareers | #DCDCareers

Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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