[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Alphabet jobs](https://jobs.opennash.com/companies/alphabet/) · [Search jobs](/search/) Alphabet · Mountain View, CA # Quantitative UX Researcher, Customer Engagement Mountain View, CA, USA Design Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there. [Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/81082840262812358-quantitative-ux-researcher-customer-engagement) [OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Quantitative UX Researcher, Customer Engagement ## Job description ### Minimum qualifications 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). Experience applying statistical modeling, including mixed-effects and item response modeling, to behavioral data. Experience in experimental design and survey research instrument design for evaluating systems. ### Preferred qualifications 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). 3 years of experience managing projects, and working in a large, matrixed organization. Experience analyzing user behavior in Business-to-Business (B2B) contexts, enterprise software, Customer Relationship Management (CRM) platforms, or support tooling. Experience evaluating multi-agent architectures, agentic workflows, orchestrators, or subagent routing systems. 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. Our Customer Relationship Management (CRM) platform powers Google Ads Sales. As we transform the platform with agentic AI, we are building intelligent workflows that route, synthesize, and resolve complex seller and advertiser tasks across general and specialized agents. In this role, you will define the measurement frameworks and behavioral models behind how users interact with multi-agent systems. You will help answer critical platform-level questions surrounding routing efficiency, AI quality calibration, and human-in-the-loop patterns to improve the overall product experience. 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 $159000 - $230000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 23, 2026 - Last checked: Oct 23, 2026 - Listed for: Under a day - Location: Mountain View, CA, USA[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/81082840262812358-quantitative-ux-researcher-customer-engagement) ## More jobs at Alphabet ### [Antenna Design Engineer, Google Pixel](https://jobs.opennash.com/companies/alphabet/jobs/d1c2ffa61ddf7e4e5285/) Mountain View, CA, USA ### [Pixel Watch Industrial Designer, Devices and Services](https://jobs.opennash.com/companies/alphabet/jobs/6c57a892d7edae4d4dc5/) Mountain View, CA, USA ### [Product Design Architect, Platforms and Devices](https://jobs.opennash.com/companies/alphabet/jobs/4b8482d8095e03dc5d3b/) Mountain View, CA, USA ### [Product Design Engineer, Pixel Hearables](https://jobs.opennash.com/companies/alphabet/jobs/69744548ab20ec101aaa/) Mountain View, CA, USA ### [RTL Design Engineer, Silicon](https://jobs.opennash.com/companies/alphabet/jobs/53bdee89292e4a176225/) Mountain View, CA, USA ## Similar jobs at other companies ### [Quantitative Trading Researcher [Multiple Positions Available]](https://jobs.opennash.com/companies/jpmorganchase/jobs/e95c539056a08f692d5c/) JPMorganChase · New York, NY, United States ### [Quantitative Researcher - Model Scaling](https://jobs.opennash.com/companies/msci/jobs/a26941fdb85abf6d543a/) MSCI · San Francisco, California ### [Senior Quantitative Researcher (Data & AI)](https://jobs.opennash.com/companies/ubs/jobs/c0ef169b50c2d724b4e1/) UBS · United States ### [Quantitative UX Researcher](https://jobs.opennash.com/companies/adidas/jobs/bf66e21252fb467b8110/) Adidas · Amsterdam, NH, NL ### [Wealth Management Solutions, Investment & Research Team: Vice President Quantitative Researcher](https://jobs.opennash.com/companies/jpmorganchase/jobs/049b4dc64cef3b6107cd/) JPMorganChase · New York, NY, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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