Senior Product Quantitative Researcher, Cloud Security
Google· enterprise· Internet & Cloud Services· Aug 11, 2026 · 3mo agoPosted 77 days ago
Seattle, WA, USA · Sunnyvale, CA, USA
In office
Full-time
Senior
$145K–$185K est.
6+ years exp
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Job description
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.
The Cloud Security Product Analytics team works within the Strategy and Operations group to equip Google Security business leaders with the data and insights they need to confidently make decisions that improve our business and products.
In this role, you will leverage your data engineering, data science, and analytical skills to build trusted data sets and executive-level insights tailored to the Cloud Security portfolio. You will analyze product utilization and feature usage to understand customer satisfaction, specifically focusing on how new tools drive engagement. You will manage the ambiguity and complexity of the current data environment while collaborating with Product Managers and UX teams to activate changes.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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 .
• Partner with Product, Engineering, and go-to-market (GTM) leadership to answer critical questions through data analysis.
• Conduct in-depth analyses to understand user behavior, identify trends, and uncover opportunities for product growth.
• Apply statistical methods and modeling techniques to extract insights and build predictive models for product performance.
• Develop and monitor core metrics and dashboards to track user engagement and business outcomes.
• Design and maintain data pipelines that aggregate and enrich key product data to power scalable analyses.
• 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 with SQL for data extraction and manipulation.
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 with SQL for data extraction and manipulation.
Preferred qualifications:
• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field.
• 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).
• Experience with machine learning techniques and libraries.
• Experience with datasets and distributed computing systems such as Google Cloud Platform or BigQuery.
• Experience building and maintaining data pipelines and extract, transform, load (ETL) processes to support product strategy.
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