Senior UX Quantitative Researcher, YouTube

Google
Full-time$151k-222k/year (USD)San Bruno, United States

📍 Job Overview

Job Title: Senior UX Quantitative Researcher, YouTube

Company: Google

Location: San Bruno, California, United States

Job Type: Full-Time

Category: User Experience Research (UXR) / Data Science

Date Posted: February 24, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

  • Drive user-centered product strategy for YouTube's youth and family experiences through rigorous quantitative research methodologies.

  • Utilize advanced data analysis techniques, including logs analysis, survey design, and statistical modeling, to uncover actionable user insights.

  • Collaborate closely with cross-functional teams (UX, Product Management, Engineering, Policy) to translate research findings into impactful product roadmaps and user experience improvements.

  • Apply innovative research approaches, including the exploration and integration of generative AI tools, to enhance research efficiency and impact.

  • Define and track key user experience metrics specifically tailored for youth audiences across YouTube Kids and the main YouTube platform.

📝 Enhancement Note: This role is positioned as a Senior UX Quantitative Researcher, indicating a need for significant independent work, strategic thinking, and the ability to influence product direction. The focus on youth experience and family needs within YouTube suggests a specialized area of UX research with a strong emphasis on ethical considerations and user safety, particularly relevant for a platform like YouTube.

📈 Primary Responsibilities

  • Define and establish critical user-centered metrics for evaluating the experience of youth users across both YouTube Kids and the primary YouTube application.

  • Conduct in-depth logs analysis to identify behavioral patterns and unmet needs within family user segments, informing product enhancements.

  • Design, implement, and analyze comprehensive surveys and controlled experiments to validate hypotheses and explore user behaviors.

  • Act as a key research partner to UX Designers, Product Managers, Engineers, and Policy teams, effectively translating complex data into clear, actionable product recommendations.

  • Proactively identify and integrate innovative research methods and tools, including generative AI, to amplify the scope and impact of quantitative research efforts.

  • Lead research initiatives from conception to completion, ensuring alignment with business objectives and user needs.

  • Present research findings and strategic recommendations clearly and persuasively to stakeholders at various levels, including executive leadership.

  • Contribute to the broader Quantitative UXR community at Google through knowledge sharing, mentorship, and participation in community initiatives.

📝 Enhancement Note: The responsibilities highlight a blend of strategic metric definition, hands-on data analysis, and cross-functional collaboration. The emphasis on "translating data into product roadmaps" and working with "executive leadership" points to a senior-level role where research directly influences strategic product decisions. The inclusion of "generative AI tools" signals a forward-thinking approach to research methodologies.

🎓 Skills & Qualifications

Education:

  • Bachelor's degree in Human-Computer Interaction (HCI), Computer Science, Statistics, Psychology, Anthropology, Data Science, or a related quantitative field, or equivalent practical experience.

Experience:

  • Minimum of 6 years of experience in applied product research or quantitative user experience research.

  • Preferred: 5 years of experience conducting UX research on consumer-facing products and working directly with executive leadership (e.g., Director level and above).

  • Preferred: 3 years of experience managing complex projects and navigating organizational change.

  • Experience conducting

Application Requirements

Minimum requirements include a Bachelor's degree or equivalent experience, coupled with 6 years in product research using programming languages for data manipulation and statistics like Python or R. Preferred qualifications involve a Master's or PhD, 5 years of UX research experience on products, and experience working with executive leadership.