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AI Job Summary

Design and build agent-assisted systems to parse and analyze large-scale logs—telemetry, clickstream, operational—and extract behavioral insights. Define KPIs and performance metrics aligned with user journeys, then develop scripts in Python or R to transform messy infrastructure data into validated patterns. Lead complex experiments and multivariate testing to optimize configurations. Requires a bachelor's degree, six years of quantitative product research in applied settings, and programming experience. Knowledge of AI/ML products, developer APIs, or infrastructure, plus logs analysis and measurement skills, are essential.

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Job Description

  • 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.

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.
  • 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).
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  • Role Senior Quantitative UX Researcher, AI Enablement
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

176K – 235K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 23 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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