Staff UX Quantitative Researcher, AI Enablement

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

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

• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

• Experience in quantitative research, logs analysis, measurement and attribution, data analysis, and metrics analysis.

• Experience researching AI/ML products, Developer APIs, or technical infrastructure.

Preferred qualifications:

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

• 8 years of experience conducting UX research on products.

• 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.

• 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 about benefits at Google. Responsibilities:

• Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs.

• Define, instrument, and track system-level key performance indicators (KPIs), backend performance metrics, and product health indicators.

• 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.

• Partner deeply with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure our backend pipelines are correctly instrumented for downstream agentic analysis.

• 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".