Senior UX Quantitative Researcher, Ecosystem Growth, Core

Google
Full-time$159k-231k/year (USD)Kirkland, United States

📍 Job Overview

Job Title: Senior UX Quantitative Researcher, Ecosystem Growth, Core

Company: Google

Location: Kirkland, Washington, United States

Job Type: Full-Time

Category: User Experience (UX) Research / Data Science / Product Development

Date Posted: April 07, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

  • Lead complex, cross-functional research programs focused on understanding and enhancing user behavior within Google's interconnected product ecosystem, driving strategic product decisions.

  • Apply rigorous quantitative research methodologies, including logs analysis, survey design, and statistical modeling, to uncover actionable insights that inform product strategy and development for Google's core infrastructure and user-facing products.

  • Collaborate closely with Product Management, Engineering, Data Science, UX Design, and Marketing teams to champion a user-centric approach throughout the product lifecycle, from initial concept to iteration.

  • Contribute to the development of AI-integrated ecosystems that connect people and products, aiming to increase user engagement and unlock the full value of Google's offerings across platforms.

  • Champion the adoption of research insights at organizational levels, fostering healthy team dynamics and building strong cross-functional relationships to ensure research impact translates into product excellence.

📝 Enhancement Note: This role sits within Google's Core Experience organization, specifically focused on the Ecosystem Growth team. The emphasis is on driving user engagement across platforms by improving the cohesion and desirability of Google's products, with a strong component of AI integration. The "Core" aspect implies working on foundational technical elements and infrastructure that underpin Google's flagship products, requiring a deep understanding of how users interact with a complex, interconnected system.

📈 Primary Responsibilities

  • Spearhead complex research programs, identifying high-value opportunities for the Ecosystem Growth team and partner product areas, effectively managing multiple priorities and high-profile initiatives.

  • Partner strategically with Product, Data Science, UX Design, UX Writing, Engineering, and Marketing leaders to define product strategy and ensure product excellence through both strategic and tactical research execution.

  • Demonstrate advanced problem-framing skills, build upon existing knowledge bases, integrate appropriate quantitative and qualitative research methods, and deliver excellence in research execution and communication of actionable insights.

  • Leverage a robust quantitative methodological toolset, including surveys, logs analysis, and experimentation, alongside qualitative methods such as usability testing, contextual inquiry, diary studies, and RITE.

  • Facilitate healthy team dynamics, cultivate strong cross-functional relationships, and drive the adoption of strategic and tactical research insights across the team, product areas, and the broader organization.

  • Contribute to the 0-to-1 product development lifecycle by employing human-centered research strategies to identify unmet user needs and validate new product concepts.

  • Analyze user behavior through empirical methods like logs analysis, survey research, and regression techniques to inform product iteration and development.

  • Navigate the complexities of AI technologies to facilitate integrated ecosystems that connect people and products, aiming to drive user engagement across various platforms.

📝 Enhancement Note: The primary responsibilities highlight a leadership role in driving research programs, emphasizing strategic impact, cross-functional collaboration, and the application of a diverse methodological toolkit. The focus on "0-to-1 product development" and "AI technologies" indicates a forward-thinking research role contributing to new product initiatives and the evolution of Google's integrated ecosystem.

🎓 Skills & Qualifications

Education:

  • Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, Computer Science, or a related field, or equivalent practical experience.

Experience:

  • Minimum of 6 years of experience in product research within an applied research setting, or similar, with a strong focus on quantitative methodologies.

  • Experience driving 0-to-1 product development through strategic, human-centered research is highly desirable.

Required Skills:

  • Proficiency in programming languages commonly used for data manipulation and computational statistics, such as Python, R, MATLAB, C++, Java, or Go.

  • Expertise in quantitative research design and execution, including descriptive statistics, multivariate data visualization, and multivariate regression.

  • Strong analytical skills, with experience in logs analysis and text analytics to derive user insights from large datasets.

  • Proven ability to conduct qualitative research, including usability testing, contextual inquiry, diary studies, and RITE methods.

Preferred Skills:

  • Experience working with AI technologies and understanding their impact on user behavior and ecosystem integration.

  • Familiarity with survey research design and implementation for large-scale user studies.

  • Demonstrated ability to manage complex research programs, prioritize initiatives, and influence product strategy.

  • Strong understanding of team dynamics and experience fostering cross-functional collaboration and insight adoption.

📝 Enhancement Note: The qualifications emphasize a blend of deep quantitative research skills, programming proficiency, and an understanding of product development lifecycles, particularly in the context of AI and integrated ecosystems. The preference for advanced degrees and specific experience in 0-to-1 development points to a role requiring significant expertise and strategic thinking.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 3-5 complex research projects that demonstrate end-to-end ownership, from problem definition to insight delivery and impact.

  • For each project, clearly articulate the research problem, the chosen methodology (with justification for quantitative and/or qualitative approaches), the research execution, key findings, and measurable impact on product strategy or user experience.

  • Highlight projects that involved driving product strategy or influencing product roadmaps, particularly those related to ecosystem growth, AI integration, or 0-to-1 product development.

  • Include examples of how you've utilized programming languages (Python, R, etc.) for data analysis, statistical modeling, or automation in your research projects.

Process Documentation:

  • Projects should illustrate a well-defined research process, including problem definition, hypothesis generation, research design, data collection, analysis, and synthesis.

  • Detail how you've integrated quantitative and qualitative research methods to provide a holistic understanding of user behavior and product opportunities.

  • Showcase experience in developing and executing research plans in collaboration with cross-functional teams (Product, Engineering, Design, Data Science).

  • Evidence of managing research timelines, resources, and stakeholder expectations for complex, high-visibility initiatives.

  • Examples of how research insights have been socialized and driven adoption within product teams and the broader organization.

📝 Enhancement Note: For a Senior UX Researcher role at Google, a strong portfolio is critical. It should not only showcase research projects but also demonstrate strategic thinking, end-to-end ownership, cross-functional collaboration skills, and a clear impact on product development. The emphasis on quantitative methods, AI, and ecosystem growth indicates specific areas candidates should highlight.

💵 Compensation & Benefits

Salary Range:

  • The US base salary range for this full-time position is $159,000 - $231,000 annually.

Benefits:

  • Bonus: Performance-based bonus opportunities.

  • Equity: Stock options or grants as part of the overall compensation package.

  • Health Insurance: Comprehensive health, dental, and vision insurance plans.

  • Retirement Savings: 401(k) plan with company matching.

  • Paid Time Off: Generous vacation, sick leave, and paid holidays.

  • Parental Leave: Extended paid leave for new parents.

  • Wellness Programs: Access to various wellness initiatives and resources.

  • Professional Development: Opportunities for continuous learning, training, and conference attendance.

  • Employee Assistance Program (EAP): Confidential counseling and support services.

Working Hours:

  • This is a full-time position, typically requiring 40 hours per week.

  • While the role is on-site, Google often offers flexibility in daily schedules to accommodate work-life balance, provided core business needs and team collaboration are met.

📝 Enhancement Note: The provided salary range is a base salary only and does not include potential bonuses, equity, or other benefits. Google is known for its comprehensive benefits package, which typically includes robust health coverage, retirement plans, and ample paid time off, aiming to support employee well-being and professional growth. The specific details of equity and bonus structures are usually discussed during the hiring process.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology

Application Requirements

Requires a bachelor's degree and at least 6 years of experience in applied product research. Proficiency in programming languages for data manipulation and statistical analysis is mandatory.