
Staff UX Quantitative Researcher, AI Enablement
Seattle, WAJob$188–274K/yrSeen todaySeen in employer's feed today
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Job overview
The Staff UX Quantitative Researcher will drive telemetry strategy for AI Data, partnering with engineering and product teams to measure strategic impact across company-wide workstreams. The role defines measurement and instrumentation strategies, identifies product opportunities and optimization vectors, and monitors outcome metrics. The researcher uses empirical methods to investigate user behavior and translates system performance data into measures of user friction and efficiency.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Staff UX Quantitative Researcher, AI Enablement
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corporate_fare Google place Sunnyvale, CA, USA; Seattle, WA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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info_outline
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:
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Health, dental, vision, life, disability insurance
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Retirement Benefits: 401(k) with company match
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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
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Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
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Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
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Baby Bonding Leave: 18 weeks
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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:
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Bachelor’s degree or equivalent practical experience.
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8 years of experience in an applied research setting, or similar.
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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).
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Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
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Experience researching AI/ML products, Developer APIs, or technical infrastructure.
Preferred qualifications:
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Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
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8 years of experience conducting UX research on products.
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7 years of experience working with executive leadership (e.g., Director level and above).
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5 years of experience managing projects, and working in a large, matrixed organization.
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Experience with software development.
About the job
At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.
You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive.
As a Staff Quantitative UX Researcher, you will drive and deliver the telemetry strategy for AI Data. You will work collaboratively with cross-functional engineering and product partners to inform our instrumentation strategy for tracking strategic impact across several company-wide workstreams. You will define and execute the measurement strategy to help define new product opportunities, identify key optimization vectors across our training pipelines and scaled work streams, and to monitor how changes affect critical outcome metrics.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs.
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Define, instrument, and track system-level key performance indicators (KPIs), backend performance metrics, and product health indicators.
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Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
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Partner deeply with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure our backend pipelines are correctly instrumented for downstream agentic analysis.
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Translate abstract system performance data (e.g., latency, GPU/TPU utilization, noise, storage toil) into quantifiable measures of user friction, efficiency losses, and "cognitive load".
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 4,524 open Researcher jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This posting$188–274K/yr
- Washington median$143–198K/yr68 salary ranges
- US median$103–155K/yr2,035 salary ranges
This range's midpoint, $231K, is 38% above the Washington median midpoint ($168K) — in the top quarter of Researcher salary ranges in Washington.
- Openings
- Olive Jobs lists 94 open Researcher jobs in Washington and 4,524 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon25 open
- Google (this employer)13 open
- Microsoft Corporation8 open
- Experience
- This posting asks for at least 8 years of experience — more than three in four Researcher postings that state a minimum ask for (median 3 years, across 1,410 postings).
- Education
- 2,998 of the 4,524 open Researcher jobs (66%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 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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