Sr Staff Quantitative User Researcher

📍 Job Overview

Job Title: Sr Staff Quantitative User Researcher

Company: Mozilla

Location: Remote US

Job Type: Full-Time

Category: User Research / Data Science / Product Strategy

Date Posted: April 28, 2026

Experience Level: 10+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead strategic and tactical quantitative user research initiatives to deeply understand user experiences, needs, motivations, and behaviors at scale.

• Partner cross-functionally with product managers, designers, engineers, marketers, and data scientists to embed quantitative insights into the end-to-end product development lifecycle.

• Apply advanced statistical methods and analytical techniques to translate complex data sources into clear, actionable recommendations that shape product roadmaps and business strategies.

• Champion user-centered decision-making across the organization by advocating for user needs and influencing leaders through evidence-based research.

• Elevate the quantitative research practice within the Firefox team by mentoring peers, refining methodologies, and scaling approaches to increase insight impact.

📝 Enhancement Note: This role is a Senior Staff level position, indicating a high degree of autonomy, strategic influence, and potential for mentorship. The emphasis on "strategic quantitative research initiatives" and "shaping roadmaps and strategies" points to a need for a researcher who can not only execute studies but also define the research agenda and drive significant product direction. The expectation to "elevate the quantitative practice" suggests a thought leadership component.

📈 Primary Responsibilities

• Own the end-to-end execution of strategic quantitative research initiatives, from defining business needs and designing rigorous survey methodologies to synthesizing complex data and communicating impactful, actionable recommendations.

• Drive quantitative research across multiple phases of the product development lifecycle, including opportunity sizing, user segmentation, concept testing, feature prioritization, and post-launch measurement and tracking.

• Collaborate strategically with cross-functional teams (Product Management, Design, Engineering, Data Science, Marketing) to develop and maintain a comprehensive research roadmap, identify high-impact research opportunities, and ensure alignment of insights with key business priorities and OKRs.

• Analyze and interpret diverse quantitative data sources, including survey responses, behavioral data, usage metrics, and market intelligence, to construct cohesive, evidence-based perspectives that guide critical product and business decisions.

• Act as a key advocate for user-centered decision-making by integrating research findings into core product strategy discussions, championing user needs, and influencing decision-makers at all levels of the organization.

• Contribute to the advancement of the quantitative user research discipline by mentoring junior researchers, refining established research methods and tools, and developing scalable approaches to amplify the visibility and impact of user insights across the Firefox product ecosystem.

• Apply expertise in empirical survey methods, including survey planning, sampling strategies, weighting techniques, and advanced statistical analysis, to ensure the validity and reliability of research findings.

• Leverage hands-on experience with mixed-methods research, working collaboratively with qualitative researchers to design integrated research approaches that provide a holistic understanding of user behavior and needs.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership and hands-on execution. The emphasis on "end-to-end execution," "shaping roadmaps," and "influencing leaders" signifies a senior-level role requiring strong strategic thinking and communication skills beyond just data analysis. The inclusion of "mentoring peers" and "elevating the practice" points to a leadership and development aspect.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 8 years of progressive experience in user research, product research, applied research, or a closely related field, with a demonstrated and substantial focus on quantitative research methodologies.

Required Skills:

• Deep expertise in empirical survey design and methodologies, encompassing planning, sampling techniques, weighting procedures, and robust statistical analysis.

• Proven ability to apply a wide range of quantitative research applications, including opportunity sizing, user needs assessment, prioritization frameworks, concept testing, panel surveys, intercept surveys, and post-launch performance measurement.

• High proficiency in R for statistical programming, data manipulation, and in-depth analysis of survey data.

• Extensive hands-on experience manipulating large behavioral datasets using SQL, and integrating these datasets with survey findings to construct comprehensive, user-centric narratives.

• Demonstrated capability to craft compelling and persuasive narratives from complex quantitative data, supported by effective data visualizations.

• Proven success operating effectively within fast-paced, agile development environments, with the ability to adapt to shifting priorities while consistently delivering high-impact research insights.

• Strong judgment and decision-making skills, balancing the need for research depth with the requirement for timely delivery of actionable insights for product and business teams.

• Hands-on experience with mixed-methods research, enabling effective collaboration with qualitative researchers to design integrated research studies and roadmaps.

• Exceptional communication and interpersonal skills, with a proven ability to build strong cross-functional partnerships and drive alignment through evidence-based insights.

Preferred Skills:

• Experience in mentoring junior researchers or leading research initiatives within a team.

• Familiarity with additional statistical software or programming languages relevant to data analysis.

• Experience with A/B testing design and analysis.

• Understanding of web browser technology, open-source development, or the digital privacy landscape.

📝 Enhancement Note: The requirement for 8+ years of experience, coupled with "Senior Staff" title, indicates a need for a seasoned professional. The specific mention of R and SQL, along with expertise in empirical survey methods, sampling, and weighting, are critical technical requirements for this specialized quantitative role. The preference for mixed-methods experience suggests a holistic approach to research.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 significant quantitative research projects that demonstrate end-to-end ownership, from initial problem definition to actionable recommendations and impact measurement.

• Clearly articulate the business problem or user need addressed by each project, detailing the research questions and hypotheses.

• Provide insights into the quantitative methodologies employed, including survey design, sampling strategy, data collection methods, and statistical analysis techniques.

• Highlight the specific tools and software used for data analysis (e.g., R, SQL).

• Present key findings and insights in a clear, compelling manner, utilizing effective data visualizations (e.g., charts, graphs) to illustrate complex data.

• Detail the actionable recommendations derived from the research and, where possible, provide evidence of the impact these recommendations had on product decisions, strategy, or user outcomes (e.g., increased adoption, improved satisfaction).

Process Documentation:

• For each portfolio project, be prepared to discuss the research design process, including how the research questions were formulated, how the target audience was defined, and how potential biases were mitigated.

• Explain the workflow for data analysis, from data cleaning and transformation to statistical modeling and interpretation.

• Be ready to articulate how research insights were communicated to stakeholders (e.g., product managers, designers, engineers) and how feedback was incorporated into subsequent research or product iterations.

📝 Enhancement Note: While not explicitly stated as a formal portfolio requirement, the detailed responsibilities and required skills strongly imply the need for a demonstrable portfolio. Candidates should be prepared to showcase their quantitative research projects, emphasizing their strategic impact, methodological rigor, and analytical prowess, particularly with R and SQL.

💵 Compensation & Benefits

Salary Range:

• US Tier 1 Locations: $178,000 - $238,000 USD Annually

• US Tier 2 Locations: $164,000 - $219,000 USD Annually

• US Tier 3 Locations: $152,000 - $202,000 USD Annually

Benefits:

• Generous performance-based bonus plans, sharing company success.

• Comprehensive medical, dental, and vision coverage.

• Generous retirement contributions with 100% immediate vesting.

• Quarterly all-company wellness days for collective pauses.

• Country-specific holidays plus a personal day off for your birthday.

• One-time home office stipend to set up an effective remote workspace.

• Annual professional development budget for continuous learning and skill enhancement.

• Quarterly well-being stipend to support personal health and wellness.

• Considerable paid parental leave for new parents.

• Employee referral bonus program for recommending qualified candidates.

Working Hours:

• Standard full-time role, typically around 40 hours per week, with flexibility expected for a remote position.

📝 Enhancement Note: The salary ranges are provided with tiered location adjustments, common for remote roles to account for cost of living variations. The extensive list of benefits reflects a company that invests in employee well-being, professional growth, and work-life balance, which is attractive for senior-level operations and research professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, Internet Services, Open Source)

Company Size: 1,000-5,000 Employees (Based on typical Greenhouse job postings for Mozilla)

Founded: 1998 (Mozilla Foundation), 2005 (Mozilla Corporation)

Team Structure:

• The Firefox User Research team operates within the broader Firefox product organization.

• It is a cross-functional team composed of both quantitative and qualitative researchers, working closely with product managers, designers, engineers, and data scientists.

• Researchers are embedded within product teams or focus on strategic initiatives that span multiple product areas.

Methodology:

• Mozilla champions an open-source, mission-driven approach to technology development, prioritizing user privacy, accessibility, and a healthy internet.

• The User Research team employs a human-centered exploration methodology, combining quantitative rigor with qualitative insights to deeply understand user needs and behaviors.

• Emphasis is placed on evidence-based decision-making, using data and insights to inform product strategy, design, and development.

• Agile methodologies are prevalent, requiring researchers to be adaptable and to integrate research seamlessly into iterative product cycles.

Company Website: https://www.mozilla.org/

📝 Enhancement Note: Mozilla's identity as a non-profit-backed, open-source company is a significant cultural differentiator. This implies a focus on mission, user advocacy, and community, which should be reflected in how research is conducted and its impact is measured. The "Firefox User Research team" context suggests a dedication to understanding and improving the experience of a widely used, critical internet product.

📈 Career & Growth Analysis

Operations Career Level: Senior Staff Quantitative User Researcher

Reporting Structure:

• Typically, a Senior Staff Researcher would report to a Research Manager, Director of Research, or a Head of Product Insights.

• They would be expected to work autonomously and lead research initiatives, often guiding or mentoring more junior team members.

Operations Impact:

• The primary impact of this role is on product strategy and execution. By providing rigorous quantitative insights into user needs, motivations, and behaviors, the researcher directly influences:
  • Product roadmap prioritization and feature development.
  • User experience design and optimization.
  • Market opportunity sizing and validation.
  • Measurement of product success and user satisfaction.

Growth Opportunities:

• Specialization: Deepen expertise in specific quantitative areas (e.g., advanced statistical modeling, causal inference, behavioral economics applied to user research).

• Leadership: Transition into a management role, leading a team of researchers, or take on more strategic leadership of research programs across multiple product areas.

• Cross-functional Influence: Expand influence across different product lines or even into broader company strategy through impactful research.

• Methodological Innovation: Lead efforts to develop and implement new quantitative research methods or tools within Mozilla.

• Industry Contribution: Contribute to the broader research community through publications, presentations, or open-source contributions.

📝 Enhancement Note: The "Sr Staff" designation implies a recognized expert level. Growth opportunities would likely involve increasing strategic scope, leadership responsibilities, or deepening specialized expertise, rather than just moving up a hierarchical ladder. The impact on product strategy is paramount for this level.

🌐 Work Environment

Office Type: Remote-First Organization

Office Location(s): Fully Remote within the United States. Specific locations are not tied to an office, but candidates should be aware of potential time zone considerations for collaboration.

Workspace Context:

• As a remote role, candidates will be expected to maintain a productive home office environment.

• Collaboration will primarily occur through digital tools (e.g., Slack, Zoom, email, collaborative documents).

• The work environment emphasizes asynchronous communication where possible, balanced with synchronous meetings for strategic discussions and team alignment.

Work Schedule:

• Standard full-time hours (approximately 40 hours/week) are expected.

• Flexibility is a hallmark of remote work, allowing individuals to manage their schedules, but availability for core collaboration hours and critical meetings is essential.

• Frequent communication and collaboration with team members across different US time zones will be required.

📝 Enhancement Note: The "Remote US" designation is key. While there's no physical office to describe, the environment is characterized by digital collaboration, asynchronous communication, and the need for self-discipline and effective remote work habits.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on alignment with core requirements (experience, R/SQL proficiency, quantitative focus).

• Hiring Manager Interview: A deeper dive into candidate experience, research philosophy, and approach to quantitative research. This may include behavioral questions about past projects.

• Technical/Skills Assessment: This could involve a take-home assignment or a live coding exercise focusing on R and/or SQL for data analysis, or a case study presentation.

• Cross-Functional Interviews: Interviews with potential collaborators (Product Managers, Designers, Engineers, Data Scientists) to assess collaboration style, communication skills, and ability to translate research into actionable product insights.

• Research Team Interview: Discussion with fellow researchers to evaluate methodological depth, strategic thinking, and fit with the team's culture and practice.

• Final Round/Executive Interview: Potentially with senior leadership to discuss strategic vision, leadership potential, and overall impact.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly state the business problem, your role, the methodology used, key findings, and crucially, the impact or outcome of your research. Use metrics where possible (e.g., "Our insights led to a 15% increase in feature adoption" or "Identified a user pain point that was subsequently addressed, reducing support tickets by 10%").

• Showcase R & SQL: If your portfolio includes projects where you heavily utilized R for statistical analysis or SQL for data manipulation, highlight this.

Be prepared to discuss specific analyses you performed.

• Structure: Organize your portfolio logically, perhaps by project type or by phase of the product lifecycle. For each project, include:

  • Project Title/Overview
  • Business/User Problem
  • Your Role & Responsibilities
  • Methodology (Survey Design, Sampling, Analysis Techniques)
  • Key Tools Used (R, SQL, Survey Platforms)
  • Key Findings & Insights (with visualizations)
  • Recommendations & Impact

• Be Prepared to Discuss: Have detailed answers ready for "why" you chose certain methods, how you handled challenges, and how you communicated your findings to different audiences.

Challenge Preparation:

• Quantitative Case Study: Be ready to analyze a dataset (potentially provided) or discuss a hypothetical scenario requiring quantitative research design and analysis. Focus on how you would approach the problem, what data you would need, what methods you would use, and how you would interpret the results.

• Methodology Deep Dive: Be prepared to discuss your expertise in survey design, sampling, weighting, and statistical testing in detail.

• Stakeholder Alignment: Practice articulating complex quantitative findings in a simple, actionable way for non-technical audiences. Demonstrate how you would influence product decisions based on your research.

📝 Enhancement Note: The interview process is likely rigorous, emphasizing both technical quantitative skills (R, SQL, survey design) and strategic impact. A well-prepared portfolio, with a strong focus on quantifiable outcomes and demonstrated use of key tools, will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Programming: R (Highly proficient, required)

• Data Manipulation: SQL (Extensive hands-on experience, required)

• Survey Platforms: Experience with various survey tools (e.g., Qualtrics, SurveyMonkey, Google Forms, custom platforms) for design, deployment, and data collection.

• Data Visualization Tools: Tools for creating compelling narratives from data (e.g., R packages like ggplot2, potentially Tableau, Looker, or similar).

Analytics & Reporting:

• Behavioral Data Analysis: Tools and techniques for analyzing user behavior data, likely involving internal data warehouses and query engines.

• Metrics & Tracking: Understanding of product analytics frameworks and tools used to track user engagement and product performance.

CRM & Automation:

• While not directly a CRM role, understanding how user research integrates with CRM data or customer feedback systems might be beneficial.

• Familiarity with project management and collaboration tools (e.g., Jira, Asana, Confluence) for workflow management and documentation.

📝 Enhancement Note: The explicit mention of R and SQL as required skills makes these the cornerstone of the technical stack for this role. Proficiency in survey platforms is also essential.

👥 Team Culture & Values

Operations Values:

• Mission-Driven: A strong commitment to Mozilla's mission of making the internet a public resource, accessible to all, with a focus on user privacy and a healthy web.

• Openness & Transparency: Embracing open-source principles, which often translates to collaborative and transparent working environments.

• User-Centricity: Deeply valuing user needs, privacy, and experiences as the primary drivers of product development.

• Data-Informed Decision Making: A culture that relies on evidence and insights, rather than just opinion, to guide strategy and product choices.

• Pragmatism & Impact: Balancing research rigor with the need for speed and actionable outcomes in a fast-paced environment.

Collaboration Style:

• Cross-Functional Partnership: Emphasis on building strong collaborative relationships with Product, Design, Engineering, and Data Science.

• Evidence-Based Advocacy: Influencing stakeholders through clear, compelling data and insights.

• Mentorship & Peer Support: A culture where senior members contribute to the growth of others and where knowledge sharing is encouraged.

• Agile & Iterative: Working in an adaptable, iterative manner, embracing feedback and adjusting approaches as needed.

• Valuing Differences: Actively seeking diverse perspectives and backgrounds to enrich problem-solving and innovation.

📝 Enhancement Note: Mozilla's stated values (Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit) are directly applicable and should be considered by candidates. The emphasis on user advocacy and open-source culture will shape team dynamics and decision-making processes.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Rigor and Speed: Effectively conducting robust quantitative research within accelerated product development timelines.

• Data Integration Complexity: Synthesizing insights from disparate data sources (behavioral, survey, market intelligence) into a cohesive narrative.

• Driving Organizational Change: Influencing product strategy and decision-making in a large, complex organization with diverse stakeholders.

• Measuring Impact: Clearly demonstrating the ROI and impact of quantitative research initiatives on product success and user outcomes.

• Evolving Research Landscape: Staying current with new quantitative methods, tools, and best practices in user research and data science.

Learning & Development Opportunities:

• Advanced Analytics Training: Opportunities to deepen expertise in statistical modeling, machine learning applications in research, or causal inference.

• Cross-Disciplinary Learning: Gaining exposure to product management, engineering workflows, and data science techniques through close collaboration.

• Strategic Influence Development: Honing skills in stakeholder management, executive communication, and research program leadership.

• Industry Engagement: Potential to attend conferences, present findings, or contribute to the broader research community.

• Mentorship: Both receiving mentorship from senior leaders and providing mentorship to junior researchers.

📝 Enhancement Note: The challenges are typical for senior research roles in tech, focusing on impact, influence, and navigating complex environments. Growth is framed around deepening expertise, expanding influence, and contributing to the field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex quantitative research initiative from start to finish. What was the business problem, your approach, the key findings, and the ultimate impact on the product?" (Focus on R/SQL usage, survey design, and quantifiable outcomes).

• "How do you approach scoping research needs with product and design teams? How do you prioritize research requests when faced with competing demands?" (Demonstrate strategic thinking and stakeholder management).

• "Imagine we want to understand user adoption of a new Firefox feature. What quantitative methods would you propose, and what key metrics would you track?" (Assess your ability to design research for product lifecycle stages).

Company & Culture Questions:

• "How do you see your role contributing to Mozilla's mission of making the internet a public resource?" (Connect your work to the company's core values).

• "Describe your experience working in an open-source environment or with open-source principles." (Show understanding of Mozilla's context).

• "How do you champion user needs when they conflict with business priorities?" (Assess advocacy skills and data-driven influence).

Portfolio Presentation Strategy:

• The STAR Method for Impact: For each project in your portfolio, structure your explanation using Situation, Task, Action, and Result. Emphasize the "Result" with concrete metrics.

• Highlight Technical Prowess: Clearly articulate where and how you used R for statistical analysis and SQL for data manipulation. Be ready to discuss specific functions, models, or queries.

• Visual Storytelling: Use clear, well-designed visualizations to illustrate your findings. Explain what the audience should take away from each chart.

• Focus on Actionability: Demonstrate how your insights translated into concrete recommendations and how those recommendations were implemented and measured.

• Tailor to Mozilla: If possible, connect your past projects or insights to the Firefox product or the broader challenges Mozilla faces related to user privacy, engagement, or browser competition.

📝 Enhancement Note: Preparation should focus on showcasing quantitative depth (R, SQL, survey methodology), strategic thinking, and the ability to drive product impact. Being able to articulate the "why" behind methodological choices and the "so what" of research findings will be critical.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided job portal link on Greenhouse.

• Tailor your Resume: Ensure your resume prominently features your experience with quantitative research, statistical analysis, R, SQL, and survey design. Quantify your achievements and highlight projects where your research directly influenced product strategy or outcomes.

• Prepare Your Portfolio: Curate 2-3 of your strongest quantitative research projects that showcase end-to-end ownership, methodological rigor (especially R/SQL usage), compelling insights, and demonstrable impact. Be ready to present these clearly and concisely.

• Research Mozilla & Firefox: Familiarize yourself with Mozilla's mission, values, and the current landscape of the Firefox browser. Understand the challenges and opportunities in the browser market and user privacy.

• Practice Your Pitch: Rehearse your answers to common interview questions, focusing on demonstrating your quantitative expertise, strategic thinking, and collaborative abilities. Practice presenting your portfolio projects using the STAR method and highlighting key metrics.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.