
Technical Program Manager, Physical AI and Creative Technologies, DeepMind
San Francisco, CAJob$192–278K/yrSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Technical Program Manager will scale Physical AI and Creative Technologies research at Google DeepMind. The role partners with research leadership and core modeling teams to shape strategy, build roadmaps, coordinate cross-functional work, and move research from exploration toward measurable results and integration into mainline models. It spans complex technical programs involving model development, data, evaluation, infrastructure, and resource planning.
Skills & qualifications
Skills
Qualifications
Full job description
Technical Program Manager, Physical AI and Creative Technologies, DeepMind
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corporate_fare DeepMind place Mountain View, CA, USA; Cambridge, MA, USA; +3 more; +2 more
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info_outline
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; Cambridge, MA, USA; New York, NY, USA; San Francisco, CA, USA .
Minimum qualifications:
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Bachelor’s degree in Computer Science, Engineering, a related technical field.
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8 years of experience in technical program management in a technical or research environment.
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Experience in machine learning and working with researchers and engineers on model design, training, data, and evaluation.
Preferred qualifications:
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Experience driving generative model research from early exploration through to measurable results.
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Experience landing research into production models or products, working across research and core modeling teams on data, evaluations, integration.
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Experience with AI agents or agentic systems, or with physical AI areas (i.e. robotics, embodied AI, world models, simulation).
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Track record of building programs from 0-1 in ambiguous, rapidly evolving technical spaces.
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Strong problem-solving skills, and ability to understand technical systems and identify opportunities for optimization.
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Passion for the future of AI and the ability to grow in a dynamic, fast-paced environment where technology meets real-world impact.
About the job
As a TPM in Frontier Research, you will help scale two high-priority research areas. Within the Physical AI space, you will work alongside research leadership, sharpening strategy, building scalable roadmaps, and driving execution as the portfolio grows. Within Creative Technologies, you will help turn bold, frontier research ideas into proven breakthroughs and build the bridges that bring them into our mainline models. Across both, you will navigate immense technical complexity, manage critical cross-functional dependencies, perform engineering due diligence, and accelerate the path from research idea to model impact. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions in a fast-paced, competitive scientific landscape.
You will partner with Research Leads to bring structure, strategy, and momentum to a growing body of research on AI that perceives, understands, and interacts with the physical world. You will own program planning, cross-team alignment, and execution across a different and fast-moving portfolio.
You will help drive blue-sky, frontier research in media generation and agents for media creation, pushing the state of the art in how models generate and refine images, video, and audio. You will help take ambitious ideas from early exploration to proven results, land them, and push them into our mainline models, partnering closely with core modeling teams on priorities and landing timelines.
Technical knowledge in robotics, world models, media generation, AI agents, or multimodal model development is beneficial but not required; curiosity and the ability to ramp quickly on deep technical topics are essential.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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 diverse 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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Translate complex research and engineering efforts into execution plans and measurable goals to actively drive delivery. Build and optimize scalable operational frameworks to monitor program performance and anticipate technical risks.
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Engage deeply with model architectures, training, and data to establish roadmaps and influence technical direction.
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Build and guide effective cross functional partnerships across different disciplines (research, modeling, data, infrastructure, evaluation, responsibility, safety) and partner teams across Google, to ensure alignment on shared objectives.
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Identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
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Drive strategic planning for mission-critical resources (compute and data management, allocation) to respond to a rapidly changing competitive landscape.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 3,575 open Technical Program Manager jobs on Olive Jobs, counted November 14, 2026.
- Pay
- This posting$192–278K/yr
- California median$168–237K/yr703 salary ranges
- US median$129–215K/yr3,304 salary ranges
This range's midpoint, $235K, is 16% above the California median midpoint ($202K) — in the middle half of Technical Program Manager salary ranges in California.
- Openings
- Olive Jobs lists 801 open Technical Program Manager jobs in California and 3,575 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Technical Program Manager postings that state a minimum ask for 7 years at the median (2,764 postings).
- Education
- This posting asks for a bachelor's degree; 560 of the 3,575 open Technical Program Manager jobs (16%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.
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