Quantitative UX Researcher, Google Ads Sales Platform

Google • Mountain View, CA

12h

About The Position

At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible. Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses. As a Quantitative User Experience Researcher (Quant UXR), you’ll help inform your team of UXers, product managers, and engineers about user needs. You’ll play a critical role in creating useful, usable, and delightful products. You’ll work with stakeholders across functions and levels and have impact at all stages of product development. You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You’ll combine skills in behavioral research design, statistical methods, and general programming to improve user experience. The Quantitative UXR community at Google will help you do your best work. You’ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Requirements

• Bachelor's degree or equivalent practical experience.
• 4 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 methods (e.g., significance testing, regression, experimental design) to behavioral data.
• Experience with two or more of the following methodological areas: causal inference frameworks (e.g., Campbellian, Rubin’s Potential Outcomes, or Pearl’s DO Calculus), observational methods (e.g., matching, weighting, or causal graphical models), or quasi-experimental methods (e.g., instrumental variables, diff-in-diff, regression discontinuity, or synthetic controls/interrupted time series).

Nice To Haves

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
• 3 years of experience working with executive leadership (e.g., Director level and above).
• Experience analyzing user behavior in B2B contexts, enterprise software, CRM platforms, or support tooling.
• Experience analyzing or measuring AI features, outputs or capabilities.
• Ability to influence product decisions and strategy with data.

Responsibilities

• Plan and execute quantitative studies to evaluate user behavior and improve the experience across Customer Engagement (CE) platforms.
• Apply advanced statistical methods to large-scale log and survey data to identify user pain points and measure satisfaction.
• Design and interpret A/B experiments to measure the impact of product changes on key success metrics and user behavior.
• Partner with Program Managers, engineers, and other researchers to define metrics, ensure data instrumentation, and provide a holistic view of the user journey.
• Translate complex quantitative findings into clear, actionable recommendations for cross-functional stakeholders at all levels.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees