About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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)
More about this role
- 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.
- 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...
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