Staff Quantitative User Researcher

📍 Job Overview

Job Title: Staff Quantitative User Researcher

Company: Mozilla

Location: Remote US

Job Type: Full-Time

Category: User Research / Data Science

Date Posted: March 10, 2026

Experience Level: 7+ Years

Remote Status: Fully Remote

🚀 Role Summary

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

• Partner cross-functionally with product, design, engineering, data science, and marketing to develop research roadmaps and align insights with business priorities.

• Champion user-centered decision-making and influence leaders by embedding quantitative research into product strategy.

• Analyze and translate complex data sources, including surveys and behavioral data, into clear, actionable insights that shape product and business strategies.

• Elevate the quantitative research practice within the Firefox User Research team through mentoring, method refinement, and scaling approaches.

📝 Enhancement Note: This role is positioned as a "Staff" level, indicating a senior individual contributor expected to drive significant strategic impact and potentially mentor junior researchers. The focus on "end-to-end" ownership and influencing "leaders across functions" reinforces this seniority. The explicit mention of "Firefox" suggests a primary focus on the browser product, though the broader Mozilla mission implies potential for broader product involvement.

📈 Primary Responsibilities

• Design, execute, and synthesize strategic quantitative research studies, including surveys, to inform product and business decisions throughout the product development lifecycle.

• Develop and maintain a research roadmap in collaboration with product management, design, engineering, data science, and product marketing teams.

• Actively embed user insights into product strategy, advocating for user needs and influencing decision-makers at all levels.

• Integrate diverse data sources, such as survey responses, behavioral analytics, and market intelligence, to construct comprehensive user experience perspectives.

• Contribute to the advancement of quantitative research methodologies and tools, mentoring peers and promoting best practices to enhance the impact of user insights.

• Identify and prioritize high-impact research opportunities that align with key business objectives and user needs.

• Translate complex statistical findings into compelling narratives and clear visualizations for diverse stakeholders.

• Adapt research approaches within fast-paced, agile environments to deliver timely and impactful insights.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic leadership and hands-on execution. The "end-to-end" ownership implies full lifecycle responsibility for research projects. The requirement to "partner cross-functionally at a strategic level" and "influence leaders" highlights the importance of communication and stakeholder management skills beyond pure research execution.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic foundation in a quantitative field is implied by the role's focus.

Experience: 7+ years of experience in user, product, or market research, with a significant emphasis on quantitative methodologies.

Required Skills:

• Proven track record leading survey research from design and sampling to analysis and reporting across the entire product development lifecycle.

• Deep expertise in empirical survey methodologies, including planning, sampling techniques, weighting, and advanced statistical analysis.

• Proficiency in applying survey research applications such as product needs assessment, audience segmentation, tracking studies, concept testing, panel surveys, and intercept surveys.

• High proficiency in a statistical programming language, with a preference for R, for robust data analysis.

• Significant experience utilizing SQL for data integration, particularly combining behavioral data with survey responses to create comprehensive user narratives.

• Demonstrated ability to craft compelling, data-driven narratives using quantitative data and effective visualizations.

• Experience thriving in fast-paced, agile environments, adapting research plans to evolving priorities while maintaining research rigor and impact.

• Strong judgment and decision-making skills to balance research depth with speed, ensuring actionable and impactful insights.

Preferred Skills:

• Experience with AI, social media, or security-related product research.

• Familiarity with other statistical software or data visualization tools.

• Experience in open-source software communities or advocacy.

• Understanding of market intelligence and competitive analysis.

📝 Enhancement Note: The requirements strongly emphasize technical proficiency in quantitative research methods, statistical programming (R), and data querying (SQL). The "Staff" level designation suggests that candidates should not only possess these skills but also demonstrate strategic thinking, leadership potential, and the ability to influence product direction.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of end-to-end quantitative research projects, clearly outlining the research problem, methodology, analysis, and resulting product/business recommendations.

• Include case studies demonstrating the application of empirical survey methods and statistical analysis to solve complex user or business problems.

• Provide examples of how quantitative insights have directly influenced product strategy, design decisions, or business outcomes.

• Feature visualizations and narrative storytelling that effectively communicate complex quantitative findings to diverse audiences.

Process Documentation:

• Highlight experience in designing repeatable and scalable quantitative research processes.

• Showcase ability to document research plans, methodologies, and findings in a clear, organized, and accessible manner.

• Include examples of how research processes were adapted to agile development cycles.

📝 Enhancement Note: Applicants for this "Staff" level role are expected to present a robust portfolio that not only demonstrates technical expertise in quantitative research but also highlights strategic impact, end-to-end project ownership, and the ability to translate data into actionable business intelligence. The focus is on demonstrating leadership in research initiatives and influencing product outcomes.

💵 Compensation & Benefits

Salary Range:

• US Tier 1 Locations: $149,000 - $199,000 USD Annually

• US Tier 2 Locations: $137,000 - $183,000 USD Annually

• US Tier 3 Locations: $127,000 - $169,000 USD Annually

Benefits:

• Generous performance-based bonus plans.

• Comprehensive medical, dental, and vision coverage.

• Generous retirement contributions with 100% immediate vesting.

• Quarterly all-company wellness days.

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

• One-time home office stipend.

• Annual professional development budget.

• Quarterly well-being stipend.

• Considerable paid parental leave.

• Employee referral bonus program.

• Additional benefits including life/AD&D insurance, disability insurance, and EAP (country-specific).

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility expected for agile environments and cross-functional collaboration.

📝 Enhancement Note: The provided salary ranges are tiered based on location within the US. The "Staff" level and the breadth of responsibilities suggest compensation at the higher end of these ranges for candidates in Tier 1 locations, reflecting significant experience and impact. The comprehensive benefits package supports a healthy work-life balance and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Internet Services, Open-Source Software. Mozilla is known for its commitment to an open internet and user privacy, operating as a non-profit-backed technology company.

Company Size: Large (Mozilla has a significant global presence and employee base, indicated by available LinkedIn data and the breadth of its products).

Founded: 1998 (Mozilla Foundation), 2005 (Mozilla Corporation). This long history signifies stability and a deep-rooted mission in shaping the internet.

Team Structure:

• The Firefox User Research team is part of the broader product development organization, working closely with Product Management, Design, Engineering, Data Science, and Product Marketing.

• Researchers are embedded within product teams or function as a central research capability, supporting various product initiatives.

Methodology:

• Data-Driven Decision Making: Emphasis on using evidence, data, and user insights to guide product and design strategy.

• Human-Centered Design: A core philosophy focused on understanding and prioritizing user needs, motivations, and behaviors.

• Open Source Collaboration: A foundational aspect of Mozilla's culture, fostering collaboration and community involvement.

• Agile Development: Research is integrated into fast-paced, iterative product development cycles.

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

📝 Enhancement Note: Mozilla's unique structure as a non-profit-backed tech company influences its culture, prioritizing mission over profit and user well-being over corporate interests. This environment is ideal for researchers who value ethical technology and open-source principles. The "Staff" role suggests a senior position within a research function that values both deep analytical rigor and strategic influence.

📈 Career & Growth Analysis

Operations Career Level: Staff Quantitative User Researcher. This is a senior individual contributor role, signifying a deep level of expertise and influence. It's a step beyond senior researcher, often involving strategic leadership, mentorship, and driving research best practices.

Reporting Structure: The researcher will report to a lead or manager within the Firefox User Research team. They will collaborate extensively with Product Managers, Designers, Engineers, Data Scientists, and Product Marketers, acting as a key strategic partner.

Operations Impact: This role has a direct impact on product strategy and user experience for Firefox, a globally used product. By providing evidence-based insights, the researcher influences product roadmaps, feature development, and overall user satisfaction, contributing to Mozilla's mission of creating a better internet for people.

Growth Opportunities:

• Strategic Leadership: Opportunity to lead major research initiatives, define research strategy for key product areas, and influence long-term product vision.

• Mentorship: Potential to mentor junior researchers, share expertise, and contribute to the growth of the research practice within Mozilla.

• Skill Specialization/Expansion: Deepen expertise in quantitative methods, explore adjacent qualitative methods, or expand into areas like AI ethics research or advanced behavioral analytics.

• Cross-Functional Influence: Develop strong strategic partnerships across product, engineering, and marketing, becoming a trusted advisor.

• Advocacy for Research: Champion the importance of user research and data-driven decision-making across the organization.

📝 Enhancement Note: As a "Staff" level researcher, the growth trajectory is focused on increasing strategic impact, thought leadership, and potentially formal leadership or specialized expertise roles within the research function or broader product organization.

🌐 Work Environment

Office Type: Fully Remote. This role operates entirely remotely within the United States, offering flexibility and autonomy.

Office Location(s): Remote US. While there are no physical office requirements, candidates must be based in the United States.

Workspace Context:

• The remote nature fosters a flexible work environment, requiring strong self-discipline and time management skills.

• Collaboration will primarily occur through digital tools (e.g., Slack, video conferencing, shared documents), emphasizing asynchronous communication and effective virtual teamwork.

• Access to company-provided tools and platforms will be essential for research execution and collaboration.

Work Schedule: The standard work schedule is full-time (approximately 40 hours per week). However, given the agile environment and cross-functional collaboration needs, some flexibility may be required to accommodate different time zones or project deadlines.

📝 Enhancement Note: For a fully remote role, the emphasis is on effective virtual collaboration, self-management, and leveraging digital tools to maintain productivity and team connection. Candidates should be comfortable working independently and communicating proactively in a distributed setting.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial screening call to assess basic qualifications and cultural fit.

• Hiring Manager Interview: A discussion focusing on experience, strategic thinking, research philosophy, and alignment with the role's responsibilities.

• Technical/Portfolio Review: A session where candidates present their portfolio, discussing key projects, methodologies, impact, and how they approach quantitative research challenges. This is a critical stage for a "Staff" level role.

• Cross-functional Interviews: Interviews with Product Managers, Designers, Engineers, or Data Scientists to assess collaboration skills, communication, and ability to influence diverse stakeholders.

• Research Team Interview: A discussion with fellow researchers to evaluate technical depth, mentorship potential, and contribution to the research practice.

• Final Round: Potentially a discussion with senior leadership or a final executive interview.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your most impactful quantitative research projects that best showcase your end-to-end ownership, strategic thinking, and ability to drive measurable outcomes.

• Structure Your Case Studies: For each project, clearly articulate: the business/product problem, your research objectives, the quantitative methodology employed (survey design, sampling, analysis techniques), key findings, actionable recommendations, and the impact of your work on product/business decisions.

• Highlight Technical Proficiency: Be prepared to discuss your R code, SQL queries, and statistical analysis approaches in detail. Explain your rationale for chosen methods.

• Demonstrate Influence: Showcase how you communicated your findings and influenced stakeholders. Use visualizations effectively to tell your story.

• Address Collaboration: Be ready to discuss how you partnered with cross-functional teams and managed stakeholder expectations.

• Showcase Mentorship: If applicable, include examples of how you've mentored junior researchers or contributed to improving research practices.

Challenge Preparation:

• Quantitative Problem-Solving: Be prepared for hypothetical scenarios where you'll need to outline how you would approach a quantitative research problem, from defining objectives to recommending analysis methods.

• Data Interpretation: You might be presented with sample data or study results and asked to interpret them and draw conclusions.

• Strategic Thinking: Anticipate questions about how to prioritize research efforts, align research with business goals, and scale research impact.

📝 Enhancement Note: The interview process for a "Staff" level role is rigorous, with a strong emphasis on portfolio presentation and demonstrating strategic influence. Candidates must be prepared to articulate their contributions and impact with specific examples and data.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Programming: R (highly preferred), possibly Python with relevant libraries.

• Data Querying: SQL for data extraction and manipulation.

• Survey Platforms: Experience with platforms like Qualtrics, SurveyMonkey, Google Forms, or custom-built solutions for designing and deploying surveys.

• Data Visualization: Tools like R's ggplot2, Tableau, Power BI, or similar for creating compelling charts and dashboards.

Analytics & Reporting:

• Behavioral Data Analysis: Familiarity with tools or platforms that track user behavior within products (e.g., product analytics tools, internal logging systems).

• Reporting Dashboards: Experience creating and presenting reports and dashboards to communicate insights to stakeholders.

CRM & Automation:

• While not the primary focus, familiarity with CRM systems (like Salesforce) for understanding customer data and potentially integrating it with research findings could be beneficial.

• Understanding of A/B testing frameworks and platforms for experimental design and analysis.

📝 Enhancement Note: Proficiency in R and SQL is a hard requirement. Experience with survey platforms and data visualization tools is crucial for executing and communicating quantitative research. Familiarity with how behavioral data is collected and analyzed within a product context is also important for integrating diverse data sources.

👥 Team Culture & Values

Operations Values:

• Welcoming Differences: Embracing diverse perspectives, backgrounds, and approaches to foster innovation and a richer understanding of users.

• Being Relationship-Minded: Building strong, collaborative relationships with cross-functional partners and within the research team.

• Practicing Responsible Participation: Engaging thoughtfully and ethically in research, product development, and community contributions.

• Having Grit: Demonstrating perseverance, resilience, and a commitment to tackling complex challenges and driving progress.

Collaboration Style:

• Cross-functional Integration: Proactive engagement with product, design, engineering, and marketing teams to ensure research is aligned with business needs and integrated into the product lifecycle.

• Evidence-Based Influence: Using data and user insights as the foundation for discussions and decision-making, aiming for consensus through compelling evidence.

• Open Communication: Fostering an environment where feedback is shared constructively, and insights are communicated transparently across teams.

• Mentorship and Knowledge Sharing: Actively participating in sharing knowledge, best practices, and supporting the growth of fellow researchers.

📝 Enhancement Note: Mozilla's stated values are deeply embedded in its culture. For a researcher, this means actively contributing to an inclusive environment, building strong collaborative ties, approaching work with dedication and resilience, and ensuring ethical research practices.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling Research Impact: Ensuring that quantitative insights reach and influence a wide range of stakeholders in a large, distributed organization.

• Balancing Speed and Rigor: Delivering timely insights in a fast-paced, agile environment without compromising the scientific validity of the research.

• Data Integration Complexity: Effectively merging disparate data sources (surveys, behavioral data, market intelligence) into cohesive and actionable narratives.

• Influencing Senior Stakeholders: Effectively communicating complex quantitative findings and advocating for user needs to drive strategic product decisions.

• Navigating Evolving Product Priorities: Adapting research plans and focus areas as product roadmaps shift in response to market dynamics or business needs.

Learning & Development Opportunities:

• Advanced Quantitative Techniques: Deepen expertise in areas like causal inference, advanced statistical modeling, or experimental design.

• Cross-Disciplinary Learning: Gain exposure to qualitative research methods, UX design principles, and product management strategies.

• Industry Conferences & Training: Utilize the annual professional development budget to attend relevant conferences (e.g., UXPA, KDD, industry-specific research events) or pursue specialized training.

• Mentorship and Leadership Development: Opportunities to mentor junior researchers or take on leadership roles in research initiatives.

• Exposure to Emerging Technologies: Researching user needs and behaviors related to AI, privacy-enhancing technologies, and other forward-looking areas within Mozilla's product portfolio.

📝 Enhancement Note: The challenges are typical for senior roles in fast-paced tech environments, emphasizing the need for strategic thinking, strong communication, and adaptability. The growth opportunities are geared towards deepening expertise, expanding influence, and contributing to the advancement of the research function.

💡 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 impact on product strategy?" (Focus on end-to-end ownership, methodology, and impact).

• "How do you balance the need for research rigor with the demands of a fast-paced, agile product development cycle?" (Demonstrate understanding of trade-offs and practical application).

• "Imagine we want to understand user adoption of a new Firefox feature. Outline your quantitative research plan, including data sources, metrics, and analysis methods." (Showcase your structured thinking and methodological expertise).

Company & Culture Questions:

• "What interests you about Mozilla's mission and the Firefox product?" (Align your personal values and interests with the company's mission).

• "How do you approach collaboration with product managers, designers, and engineers? Can you give an example of a successful cross-functional partnership?" (Highlight your teamwork and influencing skills).

• "How do you ensure your research insights are actionable and drive product decisions?" (Focus on communication, storytelling, and impact).

Portfolio Presentation Strategy:

• Tell a Story: Structure your portfolio presentation around the narrative of each project, emphasizing the journey from problem to solution and impact.

• Quantify Everything: For each project, highlight the metrics you used, the data you analyzed, and the quantifiable outcomes of your recommendations.

• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, statistical choices, and data interpretation.

• Focus on Impact: Clearly articulate how your research led to tangible improvements in the product or business.

• Practice Your Delivery: Ensure your presentation is clear, concise, and engaging. Be ready to answer questions confidently.

📝 Enhancement Note: Preparation should focus on articulating strategic impact, demonstrating technical depth in quantitative methods (R, SQL, survey design), and showcasing strong collaboration and communication skills. The portfolio is a critical component, so practicing its presentation is essential.

📌 Application Steps

To apply for this operations position:

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

• Portfolio Customization: Tailor your resume and cover letter to highlight your 7+ years of quantitative user research experience, specific expertise in R, SQL, and survey methodologies, and your ability to drive product decisions.

• Portfolio Preparation: Curate 2-3 key quantitative research case studies that demonstrate end-to-end ownership, strategic impact, and proficiency in statistical analysis and data integration. Be ready to present these in detail.

• Interview Practice: Prepare to discuss your research process, answer behavioral questions, and articulate how you embody Mozilla's values. Practice presenting your portfolio with clear, data-driven narratives.

• Company Research: Familiarize yourself with Mozilla's mission, Firefox's current product landscape, and recent company news to demonstrate genuine interest and understanding.

⚠️ 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.

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