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Senior Leadership Technical Program Manager, Core ML

Google • Full-time • Mountain View, California, United States • $240k - $333k / year • 7h ago

Minimum qualifications:

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 at scale. The 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.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Advocate programs through the Core ML Product Lifecycle (Concept, Planning, Development, Pilot, and GA).
Partner closely with Engineering Leads, PMs, and cross-Product Area customers (e.g., Cloud, Search, Ads, YouTube) to align roadmaps, capture dependencies, and unblock execution bottlenecks.
Apply technical understanding to evaluate architectural trade-offs, drive design discussions, and manage complex cross-group dependencies.
Define and monitor program health metrics, report on OKR progress to leadership, and streamline communication across virtual and dedicated engineering structures.

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