UX Quantitative Researcher, Geo Makers

Google•Mountain View, CA

1d•$109,000 - $155,000

About The Position

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 Quantitative UX Researcher on the Geo-Makers team, you will serve as a core quantitative engine driving user experience evaluation and measurement across Google’s geospatial developer and enterprise ecosystem, including Google Maps Platform APIs, Google Earth, Earth Engine, Environmental Capabilities, and emerging Agentic AI developer tooling. You will translate complex behavioral data into high-signal insights that land directly in product strategy and technical specifications, informing how developers and enterprise users build with geospatial intelligence. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives. The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Requirements

Bachelor's degree in Human-Computer Interaction, Statistics, Computer Science, Economics, Psychology, Data Science, or equivalent practical experience.
1 year of experience in an applied research setting (e.g., product or academic), or similar.
Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Nice To Haves

Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
1 year of experience conducting UX research on products and working in a large, matrixed organization.
Experience analyzing behavioral logs, telemetry, and prompt data for artificial intelligence applications.
Experience working with developer platforms, APIs, cloud tools, technical enterprise products, or geospatial software.

Responsibilities

Query, clean, and model user interaction logs and product telemetry to understand developer workflows, drop-off points, and platform engagement across critical user journeys.
Define, validate, and track user-centric metrics and UX key results to support product-led growth initiatives in partnership with cross-functional teams.
Translate statistical analyses into clear and concise research briefs, dashboards, and decision frameworks for cross-functional stakeholders.
Advance analysis-friendly telemetry schemas, logging standards, and taxonomies to evaluate emerging AI tooling, developer kits, and APIs.
Analyze prompt and log data for artificial intelligence applications to uncover insights for product strategy and technical specifications.