Quantitative UX Researcher

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 Quantitative UX Researcher for Legal and Procurement within Corporate Engineering, you will quantify the user experience of Google’s internal governance systems. You will support research for AI-driven innovation across Legal and Procurement workflows. In this role, you will be a key partner to Product and Engineering, focusing on the evaluation of the AI development life-cycle. You will implement experimentation frameworks and analyze "live sandboxes" to help the team iterate on AI-powered workflows. You will drive multiple projects in a fast-paced environment to improve our quantitative insights, including instrumentation, metrics tracking, and data analysis. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Help mature our quantitative capabilities by driving the adoption of instrumentation and data infrastructure within your project area.
• Execute research using various sources of data (e.g., survey data with system logs), identifying key drivers of AI success.
• Partner with the engineering team to implement and run experiments in “live” prototyping environments, providing the data needed to optimize AI-powered experiences.
• Use your Quantitative UX Research toolkit to develop and execute a project-level research roadmap, ensuring user insights are integrated into the product development life-cycle.
• Create clear research narratives that communicate user behaviors to stakeholders, helping the team stay aligned on user needs.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in product research in an applied research setting, or similar.
• Experience in a user experience research role, applying quantitative methodologies, including advanced survey design/analysis and experimental design.
• Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go).

Preferred qualifications

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• Experience collaborating with engineering teams to define log schemas and data pipelines for product features.
• Experience presenting research findings to cross-functional teams (Product Management, Engineering, UX).
• Experience with SQL, R, or Python for analyzing datasets and user logs to complement primary research findings.
• Understanding of the strengths and shortcomings of different research methods, including when and how to apply them during the product development process.
• Understanding of user research questions and technical tools to analyze data and measure products' user experience and interaction.

Key skills/competency

• Quantitative UX Research
• User Behavior Analysis
• Survey Design and Analysis
• Experimental Design
• Log Analysis
• Statistical Proficiency
• Programming Skills (Python, R)
• Data Manipulation
• Research Roadmapping
• Stakeholder Communication