Senior UX Quantitative Researcher, Human Factors

📍 Job Overview

Job Title: Senior UX Quantitative Researcher, Human Factors

Company: Google

Location: San Francisco, California, United States; San Jose, California, United States; Miami, Florida, United States; New York, New York, United States

Job Type: Full-Time

Category: User Experience Research / Human Factors Operations

Date Posted: May 28, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Spearhead quantitative UX research initiatives, focusing on human factors and empirical methods within a large-scale technology organization.

• Design and implement rigorous research methodologies to define, measure, and analyze user behavior using statistical modeling and data analysis.

• Collaborate cross-functionally with Product Management, Engineering, Design, and Data Science to translate complex data insights into actionable product improvements.

• Drive product strategy and development by generating hypotheses and executing research plans that directly impact user experience and product innovation.

• Contribute to the advancement of the quantitative UX research community through knowledge sharing, mentorship, and the utilization of internal tools and resources.

📝 Enhancement Note: While the role title is "Senior UX Quantitative Researcher, Human Factors," the responsibilities and required skills strongly align with a specialized function within broader GTM operations, particularly in bridging the gap between user behavior data and product development. This role requires a deep understanding of how quantitative insights can optimize the user journey, influence product roadmaps, and ultimately drive adoption and satisfaction, which are key GTM objectives. The emphasis on empirical methods, statistical modeling, and actionable insights makes it a critical function for ensuring product-market fit and scalable growth.

📈 Primary Responsibilities

• Define, measure, and track key quantitative UX goals and metrics in close collaboration with cross-functional teams including Designers, Qualitative Researchers, Data Scientists, Engineers, and Program Managers.

• Develop and implement sophisticated code and statistical models to deeply understand user experience, identify patterns, and predict user behavior.

• Conduct empirical research leveraging methodologies from computer science, quantitative social science, statistics, econometrics, and other relevant fields to analyze large datasets and extract meaningful insights.

• Proactively examine existing data, product designs, and user interaction logs to generate well-formed hypotheses and detailed research plans for high-impact investigations.

• Prioritize and lead research efforts to iteratively improve user experience, ensuring findings are compelling, actionable, and effectively communicated to diverse stakeholders across the company, including executive leadership.

• Translate complex statistical findings into clear, concise, and persuasive narratives that resonate with both research experts and non-experts, driving informed decision-making.

• Contribute to the development and refinement of research processes and best practices within the quantitative UX research team.

• Stay abreast of emerging trends and technologies in quantitative research, human-computer interaction, and the broader XR/AI landscape.

📝 Enhancement Note: The responsibilities highlight a critical link to GTM success by focusing on user behavior analysis which directly informs product strategy, market positioning, and customer adoption. The emphasis on defining and measuring UX goals and metrics is fundamental to establishing benchmarks for product performance and user satisfaction, key indicators for GTM effectiveness.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a quantitative field or equivalent practical experience.

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related quantitative field is strongly preferred. Experience:

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

• Preferred candidates will have 5 years of experience conducting UX research on consumer or enterprise products and have experience working directly with executive leadership (e.g., Director level and above).

• 3 years of experience managing complex research projects and working within large, matrixed organizations is a plus.

• Experience conducting research specifically within Augmented Reality (AR) and Virtual Reality (VR) product environments is highly desirable.

• Experience in physical product environments, driving research for ergonomics and physical design decisions, is also preferred. Required Skills:

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

• Deep understanding of quantitative research methodologies, including experimental design, statistical modeling, survey design, and causal inference.

• Proven ability to analyze large, complex datasets to extract actionable insights and identify user behavior patterns.

• Strong analytical and problem-solving skills with a demonstrated ability to formulate hypotheses and design research to test them.

• Excellent communication and presentation skills, with the ability to convey complex quantitative findings to diverse audiences, including non-technical stakeholders.

• Experience in defining and tracking key performance indicators (KPIs) and metrics related to user experience and product adoption. Preferred Skills:

• Expertise in Human-Computer Interaction (HCI) principles and theories.

• Familiarity with log analysis techniques and tools for understanding user behavior at scale.

• Understanding of human physiology, human performance, visual processing, attentional demands, and ergonomics.

• Experience with statistical software and libraries for advanced data analysis and visualization.

• Knowledge of econometrics or other quantitative social science research methods.

• Experience researching and developing products in the XR (Extended Reality) space, including AR and VR.

• Experience with A/B testing and other experimentation frameworks for product optimization.

📝 Enhancement Note: The "Preferred Skills" section strongly points towards candidates who can not only analyze data but also understand the underlying human elements that drive product success. This dual capability is crucial for GTM strategies that rely on deep customer understanding and product-market fit. Proficiency in languages like Python and R, alongside statistical modeling, directly supports the data-driven decision-making essential for optimizing go-to-market efforts.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable examples of research projects that led to significant product improvements or strategic shifts, showcasing a clear impact on user experience and business objectives.

• Case studies detailing the research process, from problem definition and hypothesis generation to methodology selection, data collection, analysis, and actionable recommendations.

• Evidence of ability to handle and analyze large, complex datasets, including examples of data cleaning, transformation, and feature engineering.

• Documentation of statistical models developed and applied, with clear explanations of their purpose, assumptions, and interpretation of results.

• Examples showcasing the ability to translate quantitative findings into clear, compelling narratives and visualizations for diverse stakeholders. Process Documentation:

• Detailed descriptions of how quantitative research projects were planned, executed, and managed, highlighting efficiency and rigor.

• Examples of frameworks or processes developed for defining and tracking quantitative UX metrics and KPIs.

• Documentation of collaboration processes with cross-functional teams (Design, PM, Eng, Data Science) to ensure research alignment and impact.

• Evidence of experience in iterating on research methodologies and tools to improve efficiency and effectiveness.

📝 Enhancement Note: For a role focused on quantitative research and human factors, a portfolio should emphasize the candidate's ability to design and execute data-driven research that directly informs product strategy and user adoption. This aligns with the GTM focus on understanding customer behavior to optimize product-market fit and drive growth. The portfolio should clearly articulate the impact of the research, not just the methods used.

💵 Compensation & Benefits

Salary Range:

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

• 📝 Enhancement Note: This salary range is an estimate based on publicly provided information for this role at Google in the US. Actual compensation will be determined by factors including job location (e.g., San Francisco/New York typically command higher salaries than Miami), job level, relevant experience, and specific skills acquired. Google's compensation structure often includes a base salary, annual bonus, and equity grants, which collectively form the total compensation package. For operations roles at this level in major tech hubs, this range is competitive, reflecting the demand for specialized quantitative research skills. Benefits:

• Annual Bonus: Performance-based bonus opportunities.

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

• Comprehensive Benefits Package: This typically includes health insurance (medical, dental, vision), retirement savings plans (e.g., 401k with company match), paid time off (vacation, sick leave, holidays), parental leave, life insurance, disability insurance, and employee assistance programs.

• Professional Development: Access to internal learning resources, mentorship programs, and opportunities to attend industry conferences.

• Wellness Programs: Initiatives and resources to support employee well-being.

• On-site Perks: Depending on the specific office location, this may include subsidized food, fitness centers, and other amenities. Working Hours:

• This is a full-time position, typically requiring approximately 40 hours per week dedicated to core responsibilities, research, analysis, and collaboration.

• 📝 Enhancement Note: While a standard 40-hour work week is expected, the nature of research and project deadlines may necessitate flexibility. Given the on-site requirement and focus on collaboration with global teams, some adaptation to working hours may be beneficial.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services and Software)

Company Size: Over 10,000 employees (Google is a very large, global technology company).

Founded: 1998. Google's mission is to organize the world's information and make it universally accessible and useful. The company is known for its data-driven culture, emphasis on innovation, and a strong focus on user experience.

Team Structure:

• The Quantitative UX Researcher will be part of a multi-disciplinary team, likely within a larger product development or research division focused on Extended Reality (XR) and Artificial Intelligence (AI).

• This team will include Engineers, Product Managers, Designers, Qualitative Researchers, and Data Scientists, fostering a collaborative environment.

• The role is expected to interface with various levels of leadership, including Director-level executives, requiring effective communication and stakeholder management.

• The role also mentions a "Quant UXR community" within Google, suggesting a supportive network for specialized researchers. Methodology:

• Data-driven decision-making is central, utilizing empirical methods like log analysis, survey research, and regression to understand user behavior.

• A strong emphasis is placed on scientific rigor, statistical proficiency, and programming skills to uncover actionable insights.

• The team operates with a user-centric approach, prioritizing user needs and behaviors in product development.

• Collaboration is key, with a focus on cross-functional partnerships to achieve product goals.

• Continuous learning and innovation are encouraged,