Quantitative User Experience Researcher 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. SAGE (Search Ads and Ads on Google Experiences) is responsible for creating delightful commercial experiences that drive value for users, advertisers, and Google. Our portfolio includes some of the most visible commercial experiences on Search. Our UXR team is deeply multidisciplinary, drawing on survey science, behavioral science, vision science, and in-depth qualitative research. In this role, you will set and drive an ambitious research agenda, guiding highly-visible launches and new strategic areas of investment. You will help your team make better decisions based on solid science, and identify new product opportunities that drive billions in business and large gains in user happiness. You will partner closely with talented team across UX, Product Management, Data Science, and Engineering. As a senior research leader, you will influence UXR across the full Search Ads portfolio, while supporting innovation and best practices in research process, methodology, and infrastructure. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $236000 - $329000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google.
Minimum Qualifications:
Bachelor's degree or equivalent practical experience.10 years of experience 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).Experience with survey data (e.g., attitudes and perceptions) and behavioral data (e.g., usage data and interactions).Experience with experimental design.
Preferred Qualifications:
Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.10 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).7 years of experience managing projects, and working in a large, matrixed organization.5 years of experience presenting to executive leaders and managing executive stakeholders expectations. Experience leveraging AI tools in UXR workflows (e.g., development of LLM-based autoraters; LLM-based analysis of unstructured data at scale), with a focus on carefully validated applications.
Responsibilities:
Set and drive an ambitious research agenda on how users experience and interact with our products. Draw on your own and the team's expertise across a variety of areas (e.g., survey science, behavioral science, logs analysis, AI, vision science, qualitative research).Work closely with Product Management, Design, and Engineering leadership to prioritize the right research, mapped against product and business objectives. Advocate for UXR and contribute to a more evidence-based culture in UX.Demonstrate excellent scientific and statistical judgement, producing rigorous insights in a changing environment, and setting a high technical standard for the broader community of UXRs. Leverage a mix of methods and data sources, such as live-traffic experiments, logs analysis, in-product surveys, and interactive prototype experiments.
