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Product Manager, GenAI, DeepMind

Google

Mountain View, CAJob$163–236K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$163–236K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Product Manager will join DeepMind’s Applied team, working across Gemini Research teams and Google product areas to deliver model capabilities for first-party product experiences. The role defines product strategy, roadmap, and features that help users and developers adopt Gemini for high-priority use cases. It also involves partnering with research teams and Google products to develop and bring AI-powered experiences to users.

Skills & qualifications

RequiredNice to have

Skills

Product ManagementAdvanced AI TechnologiesLarge Language ModelsAI-Powered Consumer ProductsMachine Learning Products

Qualifications

Bachelor's Degree or Equivalent Practical Experience5+ Years Product Management or Related Technical Experience

Full job description

Product Manager, GenAI, DeepMind

Share Product Manager, GenAI, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA

Share Product Manager, GenAI, DeepMind

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience in product management or a related technical role.

  • Experience with advanced AI technologies, including Large Language Models (LLMs).

Preferred qualifications:

  • Experience in building AI-powered consumer products.

  • Experience building ML products.

About the job

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 varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort.

In this role, you will have an opportunity to join DeepMind’s Applied team, working across Gemini Research teams and Google product areas to deliver the best model capabilities for first-party product experiences. You will define the product strategy, roadmap, and key features that will enable users and developers to adopt Gemini for high priority use cases.

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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

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

Responsibilities

  • Own the roadmap for delivering Gemini capabilities to first-party products by identifying and prioritizing high-value use cases to address.

  • Partner with research teams to define, benchmark, and productionize new model capabilities.

  • Experiment rapidly with agentic harnesses to demonstrate capabilities and discover new opportunities.

  • Collaborate with Google products to re-invent, prioritize, and build AI-powered experiences for users.

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 8,504 open Product Manager jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$163–236K/yr
  • California median$171–241K/yr1,524 salary ranges
  • US median$139–212K/yr6,832 salary ranges

This range's midpoint, $200K, is 3% below the California median midpoint ($206K) — in the middle half of Product Manager salary ranges in California.

Openings
Olive Jobs lists 1,816 open Product Manager jobs in California and 8,504 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Product Manager postings that state a minimum ask for 5 years at the median (7,383 postings).
Education
3,092 of the 8,504 open Product Manager jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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