Senior UX Quantitative Researcher, Search

Google•Mountain View, CA

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. This role supports one of our core AI Model Quality teams, driving the creation of trusted and helpful experiences for users interacting with AI on Search. You will set the direction for both near-term improvements and the long-term vision for AI interactions on Google Search. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. The US base salary range for this full-time position is $159,000-$233,000 + 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 [https://careers.google.com/benefits/].

Requirements

Bachelor's degree or equivalent practical experience.
6 years of experience in product research in an applied research setting, 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.
5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
Experience working with AI model training and communicating research to cross-functional partners, stakeholders, and executives.
Experience shaping and executing research programs in ambiguous spaces with a focus on understanding the product/market landscape.
Knowledge of a wide range of research methodologies, including their strengths, weaknesses, and optimal application in the product life-cycle.

Responsibilities

Conduct primary research to support teams working on quality and trust of AI features on Search.
Partner with cross-functional partners across product, content design, and data science to develop insights and align model training methods to best serve user needs.
Establish a decisive user-centered point of view to guide product strategy.
Support the development of the research roadmapping and aligning, recommending how research resources are allocated on this roadmap.
Understand and utilize the strengths and shortcomings of different research methods, including when and how to apply them during the product development process.