Senior Leadership Technical Program Manager, Core ML

Google Inc.; Mountain View (CA); On-site; USD 240,000 - 303,000; Full time

Job summary

Google is seeking an Senior Leadership Technical Program Manager for Core ML in Mountain View, CA. This role leads complex, multi-disciplinary engineering programs, plans requirements with internal customers, and shepherds projects through the full lifecycle, from planning to production.

The ideal candidate has extensive experience in program management and leadership, with the ability to influence stakeholders and navigate ambiguous problems.

Qualifications

• Experience owning outcomes and decision making; ability to solve ambiguous problems and influence stakeholders.
• 10 years of experience in program management.
• 7 years of experience in leadership roles with/without direct reports.

Responsibilities

• Lead complex, multi-disciplinary engineering programs and projects.
• Plan requirements with internal customers and manage the full project lifecycle.
• Manage schedules, identify risks, and clearly communicate them to stakeholders.
• Explain analyses and recommendations to executives and discuss technical trade-offs with engineers.

Skills

Program management

Leadership

Stakeholder management

Education

Bachelor's degree in a technical field

Job description

Senior Leadership Technical Program Manager, Core ML

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corporate_fare 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 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.

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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.