Staff Mixed-Methods UX Researcher, AI Enablement

Staff Mixed-Methods UX Researcher, AI Enablement

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corporate_fareGoogleplaceSunnyvale, CA, USA; Seattle, WA, USA

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

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.

Minimum qualifications:

• Bachelors degree in Human-Computer Interaction, Cognitive Science, Psychology, Information Science, Statistics, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience conducting user research in an applied product or technology setting or 6 years with an advanced degree.
• Experience leading mixed-methods research combining qualitative methods (interviews, usability testing, field studies) with quantitative methods (survey design, behavioral logs analysis, metrics definition).
• Experience analyzing quantitative and behavioral data using statistical or scripting tools such as Python, R, or SQL.

Preferred qualifications:

• Masters degree or PhD in Human-Computer Interaction, Cognitive Psychology, Information Science, Statistics, Computer Science, or a related field.
• Experience researching complex technical domains such as AI/ML products, data systems, developer APIs, or technical infrastructure.
• Experience defining and tracking user-centered

Key Performance Indicators (KPIs) and Product Health indicators aligned with Critical User Journeys.

• Experience partnering with cross-functional engineering, data science, and product leadership to translate mixed-methods insights into product and platform strategy.

About the job

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.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 about benefits at Google.

Responsibilities

• Design and execute end-to-end mixed-methods studies combining qualitative methods (in-depth interviews, workflow observations, usability studies, concept evaluations) with quantitative methods (surveys, telemetry, large-scale behavioral logs).
• Define, instrument, and track user-centered

key performance indicators and product health indicators, triangulating qualitative workflow pain points with quantitative impact attribution across AI data pipelines.

• Build and use agent-assisted pipelines, synthesis workflows, and analysis scripts to pair unstructured qualitative feedback with operational and telemetry logs.
• Investigate developer and data-practitioner mental models alongside system performance signals to diagnose and reduce user friction, efficiency losses, and cognitive load.
• Partner with Product Managers, Engineers, UX Designers, Data Scientists, and ML researchers to translate mixed-methods evidence into product direction.

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.