Senior UX Quantitative Researcher, Ecosystem Growth, Core

Google • Kirkland, WA

2d

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 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.

At Core Experience organization, our mission is to help all teams at Google
build unified products that people continue to use, by improving the
desirability and cohesion of our products. The mission of the Ecosystem Growth
team is to seamlessly connect people, products, and AI experiences so more users
unlock the full value of Google. Our goal is to drive engagement with Google
products across platforms, by helping users discover, onboard, and experience
everything Google has to offer.

The Core team builds the technical foundation behind Google’s flagship products.
We are owners and advocates for the underlying design elements, developer
platforms, product components, and infrastructure at Google. These are the
essential building blocks for excellent, safe, and coherent experiences for our
users and drive the pace of innovation for every developer. We look across
Google’s products to build central solutions, break down technical barriers and
strengthen existing systems. As the Core team, we have a mandate and a unique
opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $159,000-$231,000 +
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.
• Experience navigating the complexities of AI technologies to facilitate integrated ecosystems that connect people and products, driving user engagement across platforms.
• Experience driving 0-to-1 product development through strategic, human-centered research.
• Experience in quantitative research design utilizing various methods (e.g., descriptive statistics, multivariate data visualization, multivariate regression, logs analytics, and text analytics).
• Knowledge of qualitative methods (e.g. usability testing, contextual inquiry, diary study, RITE, etc.).

Responsibilities

• Drive complex research programs to identify high-value opportunities for our team and across our product area partners while managing priorities and high-profile initiatives.
• Partner closely with Product, Data Science, UX Design, UX Writing, Engineering, and Marketing leaders to drive product strategy and ensure product excellence through strategic and tactical research.
• Demonstrate effective problem-framing, build upon existing knowledge, integrate appropriate quantitative and qualitative methods, and deliver excellence in research execution and communication of insights.
• Leverage a quantitative methodological toolsets (e.g., surveys, logs analysis, experiments) and qualitative methods (e.g. usability testing, contextual inquiry, diary study, RITE, etc.).
• Facilitate healthy team dynamics, build cross-functional relationships, and increase adoption of strategic/tactical research insights at the team, product, and organizational level.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level