Technical Program Manager, Gemini Post-Training (Physical Engineering)

Technical Program Manager, Gemini Post-Training (Physical Engineering)

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

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelors degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience managing post-training or agentic tool-use programs in fast-paced environment.
• Experience coordinating domain-expert data acquisition, vendor operations, or verifiable simulation environments across physical engineering domains.
• Knowledge of software, hardware/physical engineering, and machine learning development life-cycles.

About the job

Googles 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. Youre equally at home explaining your teams 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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager in Gemini Post-Training (Physical Engineering), you will apply program management methodologies across multiple post-training data, evaluation, simulation environment, harness, and modeling initiatives. You will partner with researchers, engineers, and product managers to define project scope, goals, and timelines, turning research priorities into high-quality training data flywheels and deliverable model milestones. You will drive programs to enable Gemini to generate executable, physically valid, and spec-compliant engineering designs.

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 about benefits at Google.

Responsibilities

• Organize and optimize post-training initiatives across hardware, physical systems, and infrastructure into clear goals, milestones, and release plans.
• Scope and execute domain-expert data acquisition, design ingestion pipelines, synthetic task generation, and RL environments.
• Partner with modeling leads to build customer-centric benchmarks and simulation/rule verifiers grading executability, physical well-formedness, and spec satisfaction.
• Manage project planning using lightweight methodologies to improve research velocity, release predictability, and align cross-functional dependencies.
• Evaluate technical trade-offs between geometric plausibility versus true functional engineering correctness, manufacturability constraints, and reward hacking risks.

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.