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Senior Leadership Technical Program Manager, Core ML

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-08-03
Job specializations:
  • Engineering
    Systems Engineer
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 240000 - 303000 USD Yearly USD 240000.00 303000.00 YEAR
Job Description & How to Apply Below

Senior Leadership Technical Program Manager, Core ML

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Google place Mountain View, CA, USA

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • 7 years of experience in leadership roles with/without direct reports.
Preferred qualifications:
  • 10 years of experience managing cross-functional/team projects.
  • Proven experience managing highly complex, high-stakes, and cross-functional technical programs in the AI/ML space.
  • Demonstrate technical judgment and architectural understanding.
About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle.

This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

Accelerate Google's delivery of the world's most advanced AI products and compute by providing services, infrastructure, and frameworks that are efficient and reliable  Core ML PMO is responsible for driving standard, repeatable software stacks, reducing technical fragmentation, and accelerating the transition from research to production.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle.

This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

Accelerate Google's delivery of the world's most advanced AI products and compute by providing services, infrastructure, and frameworks that are efficient and reliable  Core ML PMO is responsible for driving standard, repeatable software stacks, reducing technical fragmentation, and accelerating the transition from research to production.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or…

Position Requirements
10+ Years work experience
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