Senior Quantitative UX Researcher, AI Enablement

Google; Sunnyvale (CA); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO: 20 days/year

Sick time: 40 hours/year (Seattle 69)

Maternity leave: 28–30 weeks

Baby bonding leave: 18 weeks

13 paid holidays

Job summary

Google is seeking a Senior Quantitative UX Researcher to advance measurement frameworks for Alphabet’s AI infrastructure. You will join a multi-disciplinary team and translate complex telemetry into actionable user insights, partnering with engineers, product management, and AI researchers.

You will design experiments, analyze logs, and develop Python or R scripts to uncover behavioral patterns that inform product decisions and developer workflows across the AI pipeline.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in product research in an applied research setting.
• Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
• Experience researching AI/ML products, Developer APIs, or technical infrastructure.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python).

Responsibilities

• Design and implement agent‑assisted pipelines to parse, audit, and analyze massive‑scale system logs to accelerate insight generation.
• Define, instrument, and track system‑level KPIs and backend performance metrics, aligning with Critical User Journeys.
• Develop scripts or agentic wrappers in Python or R to parse complex logs and transform them into patterns.
• Lead the design and analysis of complex experiments, multivariate testing, and rollout strategies.
• Collaborate with Infrastructure Engineers, Applied Data Scientists, and ML researchers to ensure pipelines are instrumented for downstream analysis.

Skills

Quantitative research

Logs analysis

Data analysis

Metrics analysis

AI/ML product research

Programming (Python)

Developer APIs knowledge

Statistical modeling

Experiment design

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in related field

Tools

Python

R

Job description

Benefits

In 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

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in product research in an applied research setting.
• Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.
• Experience researching AI/ML products, Developer APIs, or technical infrastructure.
• Experience in programming languages used for data manipulation and computational statistics (e.g., "Python" is the preference).

Preferred qualifications

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
• Experience with code reviews.
• Experience analyzing behavioral telemetry/log data (e.g., AI logs or SQL) to inform product decisions.
• Experience working with agentic AI tools, Loop Engineering principals, and AI/ML training phases and methods.

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 log analysis, survey research, and regression. We value various 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 Senior Quantitative UX Researcher, you will drive product excellence for Alphabet’s core AI infrastructure by translating complex system telemetry into actionable user insights. As a part of the AI Enablement side of the ACE UX research team, you will execute on partnerships with AI Data and Research-to-Production (R2P). You will lead the development of next-generation measurement frameworks, leveraging advanced statistical models and agentic AI workflows to analyze system logs at scale. You will partner closely with Engineering, Product Management, and agentic developers, pioneer how we measure and optimize frictionless, high-velocity developer workflows across the AI pipeline.

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: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Design and implement agent‑assisted pipelines to parse, audit, and analyze massive‑scale system logs (e.g., telemetry, clickstream, operational logs) to accelerate insight generation.
• Define, instrument, and track system‑level Key Performance Indicator (KPIs), backend performance metrics, and Product Health indicators, aligning them directly with Critical User Journeys.
• 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.
• Lead the design and analysis of complex experiments, multivariate testing, and rollout strategies to optimize system configurations, documentation, and tooling.
• Collaborate with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure backend pipelines are correctly instrumented for downstream agentic analysis.

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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.