Technical Program Manager, Cross-Product Execution and Model Feedback Operations, DeepMind

Technical Program Manager, Cross-Product Execution and Model Feedback Operations, DeepMind

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corporate_fareDeepMindplaceMountain View, CA, USA; San Bruno, CA, USA; +2 more; +1 more

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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelors degree in a technical field, or equivalent practical experience.

• 8 years of experience in program management.

• Experience in technical program management, cross-functional collaboration, and software development.

• Experience working with Artificial Intelligence or Machine Learning technologies.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience with modern LLMs, multimodal models, and agentic systems.
• Experience with model training, evaluation design, and inference economics (latency, cost, and compute capacity).
• Experience building scalable operating models and repeatable processes across organizational boundaries.
• Experience with AI platforms, data acquisition, and Software Development Life Cycle (SDLC) management.

About the job

Artificial intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

To turn Google's product scale into a lasting advantage, DeepMind requires a strong, two-way bridge between our frontier AI research and Google's global product ecosystems.

As a Technical Program Manager for Cross-Product Engagements, you will build and scale the operating model connecting DeepMind's research teams with Google's major product divisions. Stepping above day-to-day launch execution, you will focus on the broader strategic ecosystem helping product teams adopt frontier models and shared AI capabilities faster, while channeling real-world product insights and evaluation signals back into research. By connecting model advancements with long-term product roadmaps, you will ensure DeepMind and our product partners maintain a shared technical goal and seamless alignment across major company priorities.

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Partner with executive leadership across DeepMind and Google's product divisions to align frontier research roadmaps, product strategy, and shared multi-year goals.
• Define clear rules of engagement and manage a prioritized portfolio of cross-product AI initiatives, leading executive review forums focused on strategic prioritization, resourcing trade-offs, and cross-organizational alignment.
• Partner with product and research teams to connect real-world product insights with core research, establishing scalable frameworks for outcome-based evaluations and structured product feedback that inform future model development.
• Accelerate how Google's products adopt new frontier models by driving structured model lifecycle planning and shared AI foundations across multiple surfaces.
• Synthesize model performance, infrastructure constraints, and roadmap dependencies across research and product teams to resolve cross-cutting bottlenecks and frame clear trade-offs for executive leadership.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.