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UX Research Manager, AI Mode

Job in San Francisco, San Francisco County, California, 94103, USA
Listing for: Google
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 188000 - 275000 USD Yearly USD 188000.00 275000.00 YEAR
Job Description & How to Apply Below
UX Research Manager, AI Mode

_corporate_fare_ Google _place_ San Francisco, CA, USA;
New York, NY, USA; +2 more; +1 more

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

_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:
** San Francisco, CA, USA;
New York, NY, USA;
Mountain View, CA, USA** .

*
* Minimum qualifications:

*
* + Bachelor's degree or equivalent practical experience.

+ 8 years of experience in an applied research setting, or similar.

+ 3 years of experience leading design projects and managing people or teams.

+ Experience in developing, launching products, technologies within Artificial Intelligence/Machine Learning (AI/ML).

*
* Preferred qualifications:

*
* + Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.

+ 7 years of experience working with executive leadership (e.g., Director level and above).

+ 5 years of experience managing projects, and working in a large, matrixed organization.

** About the job*
* UX Research Managers are advocates for the people who use our products as well as the members of their teams. You are an expert at using qualitative research methods such as field studies, interviews, and diary studies to shape product development and influence overall strategy.

In this role, you will take the time to understand not just the execution side of UX, but also the business aspects of the products we build. You will collaborate with leaders of other UX, Engineering, and Product Management teams to create innovative experiences across all of Google's products, leveraging your passion for brand, craft, and design quality. You will lead a team of researchers at the forefront of shaping the future of information discovery.

Your team will be responsible for understanding the evolving needs and behaviors of users as they interact with AI-powered search results. You will guide your team in conducting foundational and iterative research to inform the development of AI Mode, AI Overviews, and other related features. Collaborating closely with product managers, designers, and engineers, you will ensure that the user is at the center of the product development process.

Your work will directly influence how millions of users interact with Google Search, making it more intuitive, intelligent, and helpful.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $275000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google () .

** Responsibilities*
* + Lead and mentor a team of UX researchers, fostering their growth and development.

+ Develop and execute a comprehensive user research roadmap for our AI models, aligning with product priorities and business goals.

+ Design and oversee a wide range of research studies, including usability testing, user interviews, surveys, and contextual inquiries, to gather insights into user needs, behaviors, and pain points.

+ Evaluate the quality of AI output in relation to user instructions, and identify common failure modes or areas where the AI misunderstands user intent.

+ Define and refine the research methodologies and processes used by the team to ensure high-quality, impactful research.

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 also Google's EEO Policy () ,Know your rights: workplace discrimination is illegal ( Know Your Rights  10 20.pdf) ,Belonging…
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