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Added 2 days ago
Technical Program Manager, Cross-Product Execution and Model Feedback Operations, DeepMind
Google
Mountain View, CA · San Francisco, CA · San Bruno, CA
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.…
Added 3 days ago
Technical Program Manager, End-to-End AI Systems Integration, DeepMind
Google
Mountain View, CA
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Added 5 days ago
Cloud AI Protection Manager
Google
Seattle, WA
As a part of the Engineering Analyst Manager for Cloud AI Security and Abuse, you will lead a high-performing team protecting Google Cloud’s cutting-edge AI products and developer platforms…
Added 7 days ago
AI Outcome Customer Engineer IV, Forward Deployed Engineering
Google
Austin, TX
…technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle…
Added 8 days ago
GenAI Technical Engagement Strategy Lead, DeepMind
Google
Mountain View, CA
The GenAI Technical Engagement team within DeepMind is responsible for translating complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts,…
Added 9 days ago
GenAI Technical Engagement Strategy Lead, DeepMind
DeepMind
Mountain View, CA
The GenAI Technical Engagement team within DeepMind is responsible for translating complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts,…
Added 10 days ago
US AI Policy Manager, DeepMind
Google
Mountain View, CA
Lead and scale DeepMind and Google's frontier AI policy advocacy across US federal and state jurisdictions.
Added 11 days ago
US Frontier AI Policy Manager, DeepMind
Google
Mountain View, CA
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Added 11 days ago
Technical Program Manager, Frontier Security and Privacy, DeepMind
Google
Mountain View, CA · San Francisco, CA
corporate_fare DeepMind place Mountain View, CA, USA; San Francisco, CA, USA
Added 12 days ago
US AI Policy Manager, DeepMind
DeepMind
Washington, DC · Mountain View, CA
Lead and scale DeepMind and Google's frontier AI policy advocacy across US federal and state jurisdictions.
Added 13 days ago
AI Outcome Customer Engineer II, Forward Deployed Engineering
Google
New York, NY
…you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture…
Added 15 days ago
Manager, Technical Program Manager, GenAI Safety, DeepMind
Google
Mountain View, CA
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Added 15 days ago
Senior Technical Program Manager, AGI Safety and Alignment, DeepMind
Google
Mountain View, CA
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Added 15 days ago
Technical Program Manager, Scientific Intelligence for Gemini, DeepMind
Google
Mountain View, CA
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Added 15 days ago
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Technical Program Manager, Scientific Intelligence for Gemini, DeepMind (Full Time Contract)
Google
Mountain View, CA
- Full-time
Share Technical Program Manager, Scientific Intelligence for Gemini, DeepMind (Full Time Contract)
Added 15 days ago
Group Product Manager, Architectural Advances, Frontier AI, DeepMind
Google
Mountain View, CA
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Added 16 days ago
Research Engineer, Tech Lead Manager, Frontier and AGI Security, DeepMind
Google
New York, NY
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Added 16 days ago
Group Product Manager, Frontier Model Protection, DeepMind
Google
New York, NY
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Added 16 days ago
External Safety Testing Manager, Responsible Development and Innovation, DeepMind
Google
New York, NY
You will work with teams across Google and DeepMind, including Product Management, Research, Legal, Engineering, Public Policy, Trust and Safety (T&S), and Frontier Safety and Governance,…
Added 16 days ago
Product Manager, CBRNE, DeepMind
Google
New York, NY
As the Product Manager for the Chemical, Biological, Radiological, Nuclear and Conventional Explosives team (CBRNE), you will sit at the intersection of frontier artificial intelligence,…
Added 16 days ago
Product Manager, CBRNE, DeepMind
DeepMind
New York, NY
As the Product Manager for the Chemical, Biological, Radiological, Nuclear and Conventional Explosives team (CBRNE), you will sit at the intersection of frontier artificial intelligence,…
Added 17 days ago
External Safety Testing Manager, Responsible Development and Innovation, DeepMind
DeepMind
New York, NY
You will work with teams across Google and DeepMind, including Product Management, Research, Legal, Engineering, Public Policy, Trust and Safety (T&S), and Frontier Safety and Governance,…
Added 21 days ago
CB
AISST/MAIA Workshop Lead
Cambridge Boston Alignment Initiative
Cambridge, MA
- $110,000 to $165,000 USD / year
…opportunity: you will regularly interface with professionals at frontier AI safety organizations, develop deep familiarity with the field’s key people and ideas, and build relationships…
Added 21 days ago
F
Senior Software Engineer, GPU Cluster Infrastructure
FAR.AI
Remote, United States
- $150,000 to $275,000 USD / year
In frontier AI research, working out the infrastructure is often part of the science. You'd work directly with researchers and other engineers to keep our large-scale experiments performant…
Added 21 days ago
F
Staff Accountant
FAR.AI
Remote, United States
- $125,000 to $145,000 USD / year
- Partner with the Head of Finance and the Finance Manager to develop and document accounting policies, internal controls, and financial processes suited to a scaling organization

Google

Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

Mountain View, CA, United States

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Job details

Experience: 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).
Posting language: English
Posted: Oct 3, 2026

Original job description

Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

Share Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

Share Technical Program Manager, Scientific Intelligence for Gemini, DeepMind

Minimum qualifications:

Bachelor's degree in a Life Science (e.g., Computational Biology, Chemistry), Physical Science (e.g., Physics, Materials Science), Mathematics, or Computer Science, or equivalent practical experience.
5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).

Preferred qualifications:

Experience analyzing model reasoning traces on graduate-level science problems, spotting flawed assumptions or hallucinations, and translating fixes into the training pipeline.
Experience designing lightweight, high-leverage systems for fast-moving empirical research; comfortable writing quick scripts or digging directly into datasets.
Knowledge of SFT data quality, RL reward signals, verifier calibration, and capability tradeoffs across model sizes.
Ability to audit individual tasks and rubrics beyond benchmark metrics.
Ability to thrive in ambiguous, high-velocity research environments; fluent in LLMs, SFT, RL, agentic evaluations, and Python-based scientific computing stacks.

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 projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager for Science & Reasoning, you will sit at the intersection of frontier AI model development and rigorous scientific domains across the life and physical sciences.

You will be in the technical weeds of model development - auditing scientific benchmarks, inspecting model reasoning trajectories and computational workflows, stress-testing RL verifiers, and shaping data and training priorities alongside research scientists and engineers.

You will drive stellar execution for our Science & Reasoning workstreams: turning research hypotheses into high-signal training data, verifiable RL environments, frontier evaluations, and deliverable model milestones across Gemini releases.

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: $217000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

Partner with research leads in life/physical sciences and formal reasoning to translate hypotheses into structured roadmaps, data mixtures, and Gemini release milestones.
Drive end-to-end execution for human data collection, synthetic data generation, SFT, and verifiable RL training environments like computational tool-use and code execution.
Curate and audit the evaluation suite for scientific reasoning and agentic workflows, ensuring benchmarks measure real-world scientific validity.
Work with post-training and RL leads to analyze checkpoints, inspect reasoning traces, identify capability gaps, and translate findings into immediate training interventions.
Manage cross-functional dependencies across data infrastructure, evaluation platforms, compute allocations, and external domain-expert vendors. Synthesize training dynamics and bottlenecks into clear launch criteria and actionable updates for tech leads.

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.

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More about this job

Skills

Materials science
Computer science
Research
ML
Python
Leadership
Manage several projects
Auditing
Artificial intelligence
Recruitment

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