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Staff UX Researcher, GeminiApp, DeepMind

Google

San Francisco, CAJob$188–274K/yrSeen 2w agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$188–274K/yr
Location
San Francisco, CA
Work Authorization
Not specified

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

Job overview

The Staff UX Researcher will lead foundational research into user needs for generative AI and inform Gemini’s multi-year product roadmap. The role defines signals for reinforcement learning from human feedback, partners with research, product, and strategy teams, and develops frameworks to evaluate AI experiences. Google DeepMind is an interdisciplinary AI lab focused on advancing AI for global challenges, product innovation, public benefit, and scientific discovery, with safety and ethics as priorities.

Skills & qualifications

RequiredNice to have

Skills

Qualitative Research Methods, requiredQuantitative Research Methods, requiredMachine Learning Systems, nice to haveExecutive Stakeholder Influence, nice to haveEvidence-Based Narratives, nice to have

Qualifications

Bachelor's in HCI, Psychology, Cognitive Science or Related Field or Equivalent Practical Experience, required8 Years UX Research, Product Strategy or Related Experience, required

Full job description

Staff UX Researcher, GeminiApp, DeepMind

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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 Francisco, CA, USA .

Minimum qualifications:

  • Bachelor's degree in Human-Computer Interaction, Psychology, Cognitive Science, or a related field, or equivalent practical experience.

  • 8 years of experience in User Experience Research, Product Strategy, or a related field within consumer-facing technology.

  • Experience in qualitative and quantitative research methods.

Preferred qualifications:

  • Experience working on systems (e.g., AI, search, algorithmic feeds, or cloud platforms) where the user experience is driven by machine learning.

  • Experience influencing executive stakeholders and managing product changes through evidence-based narratives.

About the job

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: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

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

Responsibilities

  • Identify the next wave of user needs in generative AI. Move beyond tactical testing to lead foundational research that informs the multi-year product roadmap.

  • Define the signals used for model tuning Reinforcement Learning from Human Feedback (RLHF) to ensure the AI’s personality and reasoning align with user expectations.

  • Partner with Research, Product Management, and Strategy and Operations to integrate user insights into the core business and technical strategy.

  • Develop and scale new frameworks for evaluating AI. You will pioneer ways to measure complex concepts like hallucination tolerance, creative agency, and collaborative trust that traditional UX metrics often miss.

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 1,884 open Product Strategy jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$188–274K/yr
  • California median$172–270K/yr337 salary ranges
  • US median$144–241K/yr1,578 salary ranges

This range's midpoint, $231K, is 6% above the California median midpoint ($219K) — in the middle half of Product Strategy salary ranges in California.

Openings
Olive Jobs lists 375 open Product Strategy jobs in California and 1,884 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience; Product Strategy postings that state a minimum ask for 7 years at the median (1,613 postings).
Education
431 of the 1,884 open Product Strategy jobs (23%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 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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