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 a range of 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.

User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”

Responsibilities

• Define and measure quantitative UX and business goals and metrics in collaboration with Designers, Qualitative Researchers, Data Scientists, Engineers, and Product Managers. Develop code and statistical models to understand user experience.
• Prioritize and drive research to improve user experience, communicate findings to stakeholders in the company, and make research findings convincing for both research experts and non-experts.
• Choose appropriate metrics to understand the use of Material Design throughout Google and its impact on the end users and key product success measures.
• Work with teams across the company to conduct Live Experiments on their user interfaces and synthesize the data to explore the impact of various design components and tactics.
• Using AI to transform the metrics and data processes in our organization including agentic analysis of user interface code.