Senior UX Researcher, Field & Consumer Research

📍 Job Overview

Job Title: Senior UX Researcher, Field & Consumer Research

Company: Jobgether (Partner Company)

Location: United States

Job Type: Full-time

Category: User Experience Research & Product Strategy

Date Posted: 2026-08-28

Experience Level: Senior (5-8 years)

Remote Status: Fully Remote

🚀 Role Summary

• Drive product strategy and decision-making by conducting high-impact generative and evaluative research across professional field and consumer-facing experiences.

• Lead and mentor Associate UX Researchers, while also upskilling Product Designers and Product Managers in self-service research methodologies.

• Develop deep expertise in user needs, behaviors, and workflows for both direct business users (technicians, agents) and their end consumers.

• Translate complex behavioral insights into clear, actionable recommendations that directly influence product roadmaps, feature development, and strategic direction.

• Collaborate closely with Data Science and Analytics teams to quantify the impact of research-informed product enhancements.

📝 Enhancement Note: This role is a Senior UX Researcher position, implying a significant level of autonomy, strategic contribution, and mentorship responsibility. The emphasis on "Field & Consumer Research" and "two-sided or multi-sided product environment" highlights the need for expertise in understanding complex user ecosystems. The AI-assisted analysis component suggests a forward-thinking approach to research efficiency.

📈 Primary Responsibilities

• Execute generative and evaluative research studies, employing methods such as contextual inquiry, in-home studies, on-site sessions, and ride-alongs with field professionals.

• Conduct research on user journeys encompassing professional workflows, consumer payments, marketplace interactions, and agent experiences.

• Develop and refine research strategies aligned with product-area goals, ensuring that research efforts address the most critical business questions and opportunities.

• Act as a subject-matter expert on the user base, competitive landscape, and workflow intricacies relevant to assigned product domains.

• Generate and present actionable insights to cross-functional stakeholders, including Product, Design, Engineering, Data Science, and Analytics teams, to inform and influence product decisions.

• Define participant recruiting criteria, develop screeners, and manage the logistics of research sessions, both remote and on-site.

• Leverage AI-assisted research tools to explore user scenarios, build reusable insight repositories, and develop effective research prompts for broader teams.

• Mentor junior researchers and coach non-researchers on best practices for planning, conducting, and analyzing user studies to scale research capabilities.

• Contribute to the UX Research hiring process by interviewing candidates and identifying top talent to strengthen the research team.

• Partner with Product and Design teams to ensure research findings are integrated effectively into product development cycles, from concept through launch and optimization.

📝 Enhancement Note: The responsibilities clearly indicate a blend of hands-on research execution, strategic planning, and team enablement. The focus on "two-sided or multi-sided product environment" and "field research" suggests a need for adaptability in research methods and understanding diverse user groups.

🎓 Skills & Qualifications

Education: Bachelor's degree in Human-Computer Interaction, Design, Sociology, Psychology, Anthropology, or a related discipline, or equivalent practical experience.

Experience: 5–8 years of demonstrated experience in UX research, contributing to new products or features from initial concept through launch and optimization.

Required Skills:

• Proven experience conducting impactful research with both business users and their end consumers, ideally within a two-sided or multi-sided product environment.

• Hands-on field research experience, including contextual inquiry, in-home or on-site research, ride-alongs, or comparable methods involving technicians or frontline workers.

• Strong understanding of qualitative and quantitative UX research methodologies and the ability to select the most appropriate approach for various research questions.

• Demonstrated ability to contribute to strategic research that has directly influenced significant product roadmap or business decisions.

• Excellent communication and presentation skills, with the ability to articulate research findings clearly and persuasively to diverse stakeholders and influence decisions through evidence.

• Strong organizational skills, creativity, and intellectual curiosity.

• Experience with AI-assisted research and analysis tools, and a willingness to explore emerging approaches for research efficiency and scale. Preferred Skills:

• Experience coaching designers, product managers, or other non-researchers to conduct their own research.

• Experience collaborating effectively across Product, Design, Engineering, Data Science, and Analytics functions in complex organizational settings.

• Familiarity with participant recruiting processes and the development of effective screeners.

• Ability to explore innovative research and participant-recruiting techniques.

📝 Enhancement Note: The experience requirement emphasizes end-to-end product lifecycle involvement. The preferred skills highlight a desire for a candidate who can also act as a force multiplier for research within the organization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies demonstrating end-to-end research projects, from initial problem definition to actionable insights and product impact.

• Clearly articulate the research objectives, methodologies employed (highlighting field and consumer research specifics), and the rationale behind method selection.

• Present detailed findings, emphasizing the synthesis of qualitative and quantitative data to derive actionable insights.

• Quantify the impact of your research, wherever possible, by demonstrating how your recommendations influenced product decisions, user experience improvements, or business outcomes (e.g., conversion rates, user satisfaction scores).

• Include examples of how you have translated complex user behaviors and workflows into clear recommendations for product and design teams. Process Documentation:

• Demonstrate experience in defining and evolving research strategies that align with product goals and prioritize impact.

• Provide examples of how you have collaborated with Data Science and Analytics teams to measure the outcomes of research-informed product changes.

• Showcase instances where you have mentored or coached others in research practices, including planning, execution, and analysis.

• Include examples of how you have contributed to scaling research capabilities, such as enabling self-service usability testing programs.

📝 Enhancement Note: For a Senior role, the portfolio should not just showcase completed projects but also the strategic thinking behind them, the ability to measure impact, and leadership in process improvement and team enablement.

💵 Compensation & Benefits

Salary Range:

• Zone 1 (CA, CT, DC, MD, MA, NJ, NY, VA, WA): $147,600 - $221,400 USD per year.

• Zone 2 (All other U.S. locations): $137,900 - $206,900 USD per year.

Benefits:

• Fully remote full-time opportunity within the United States.

• Competitive, location-based compensation with annual bonus and equity.

• Flexible paid time off and support for autonomous work.

• Comprehensive learning and development opportunities, including onboarding and leadership training.

• Recognition programs for performance and peer nominations.

• Company-paid medical, dental, and vision coverage, with substantial dependent coverage.

• Flexible Spending Account (FSA) and Health Savings Account (HSA) options.

• 401(k) matching program.

• Telehealth benefits.

• Robust family-support benefits, including parental leave, fertility services, surrogacy and adoption reimbursement, and maternity support.

• Additional benefits: pet insurance, legal advisory services, financial planning resources.

• Opportunities to work on innovative technology and high-impact products.

• A collaborative, agile, design-led environment that values continuous learning and customer impact.

Working Hours: Standard full-time (approximately 40 hours per week), with flexibility and support for autonomous work arrangements.

📝 Enhancement Note: The salary ranges provided are specific and tiered by location (Zone 1 vs. Zone 2), reflecting a data-driven compensation strategy. The benefits package is extensive, covering health, financial well-being, family support, and professional development, which is highly attractive to experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the technology sector, focusing on products that serve both professional field services and consumer end-users, likely in a marketplace or service-delivery ecosystem. This suggests a dynamic environment where understanding multiple stakeholder needs is crucial.

Company Size: The description implies a growing technology company that is scaling its operations and research capabilities, likely mid-sized to large, with established product lines and a clear need for senior expertise.

Founded: While not explicitly stated, the company's focus on "category-defining products" and "rapidly evolving technology environment" suggests a company that is either a well-established innovator or a rapidly scaling startup that has achieved significant product-market fit.

Team Structure:

• The UX Research team likely includes a mix of senior and associate researchers, with opportunities for collaboration and mentorship.

• This role will function within product teams, collaborating closely with Product Managers, Designers, Data Scientists, and Engineers.

• The reporting structure will likely be within a broader Product or Design organization, with clear lines of communication for strategic alignment. Methodology:

• A data-driven approach is core, integrating qualitative insights from field and consumer research with quantitative data from analytics and A/B testing.

• Emphasis on agile methodologies, iterative design, and continuous learning.

• A design-led culture that values user empathy and evidence-based decision-making.

• Exploration of AI-assisted tools to enhance research efficiency and insight generation.

Company Website: https://jobgether.com/

📝 Enhancement Note: The context suggests a company that prioritizes user-centricity and leverages technology to drive innovation. The "design-led environment" is a key cultural indicator for UX professionals.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher position, indicating a role that goes beyond executing research tasks. It involves strategic planning, influencing product direction, mentoring junior team members, and contributing to the overall research practice's maturity. The expectation is for significant autonomy and ownership.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Lead, Director of UX, or Head of Product. They will work closely with Product Managers and Design Leads within specific product areas, acting as a key strategic partner.

Operations Impact: The role has a direct impact on revenue and business decisions by ensuring that products are designed to meet the complex needs of both professional service providers and their end consumers. By identifying critical pain points and opportunities, the researcher helps shape products that drive user adoption, satisfaction, and ultimately, business growth.

Growth Opportunities:

• Operations Skill Advancement: Opportunities to deepen expertise in specialized research methodologies (e.g., advanced field studies, longitudinal studies, mixed-methods research).

• Leadership Development: Potential to grow into a UX Research Lead or Manager role, overseeing a team, defining research strategy for larger product portfolios, and managing research operations.

• Cross-functional Leadership: Opportunities to lead cross-functional initiatives, influence product vision, and contribute to broader organizational strategy through user insights.

• AI Research Specialization: Develop expertise in leveraging AI tools for research analysis, synthesis, and insight generation, becoming a subject matter expert in this emerging area.

📝 Enhancement Note: The "Senior" title and responsibilities clearly point towards a leadership track. The emphasis on mentorship and scaling research capabilities suggests pathways into management or senior individual contributor roles focused on research strategy and operations.

🌐 Work Environment

Office Type: The position is designated as "Remote Solely," meaning there is no requirement to work from a physical office. All collaboration and work will be conducted remotely.

Office Location(s): While the role is remote, compensation is tiered by U.S. location zones. This indicates that while geographically dispersed, there's an understanding of regional cost-of-living differences that influence compensation.

Workspace Context:

• A fully remote work environment that requires strong self-discipline, time management, and effective virtual communication skills.

• Access to necessary collaboration tools (e.g., Slack, Zoom, Miro, project management software) and potentially specialized research platforms.

• A culture that encourages asynchronous communication and provides support for setting up an effective home office environment.

• Opportunities for virtual team-building activities and informal interactions to foster connection among remote colleagues.

Work Schedule: Standard full-time hours are expected, but with a high degree of flexibility. The focus is on outcomes and impact rather than strict adherence to a 9-to-5 schedule, aligning with the "autonomous work" benefit.

📝 Enhancement Note: The fully remote nature necessitates excellent communication and collaboration skills in a virtual setting. The mention of "autonomous work" suggests a results-oriented culture where employees are trusted to manage their time effectively.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely an AI-powered matching process by Jobgether, followed by a recruiter screen to assess basic qualifications and cultural fit.

• Hiring Manager Interview: A deeper dive into your experience, research philosophy, strategic thinking, and approach to field/consumer research. Expect behavioral questions related to past projects and challenges.

• Portfolio Presentation: A dedicated session to present 1-2 key case studies from your portfolio. Focus on storytelling, highlighting your process, insights, impact, and how you influenced product decisions. Be prepared to discuss your role and contributions clearly.

• Cross-functional Interviews: Interviews with Product Managers, Designers, and potentially Data Scientists or Engineers to assess collaboration style, communication skills, and ability to integrate research into development workflows.

• Mentorship/Leadership Discussion: Questions assessing your experience and approach to mentoring junior researchers and coaching non-researchers.

• Final Interview: Potentially with a senior leader to discuss overall fit, strategic vision, and long-term potential within the organization.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate how your research led to tangible product improvements or business outcomes. Use metrics and data whenever possible.

• Showcase Methodology: Detail your research process, explaining why specific methods (especially field and consumer-focused ones) were chosen. Highlight your ability to navigate complex user ecosystems.

• Tell a Story: Structure your case studies with a clear narrative arc: the problem, your approach, the insights, the recommendations, and the results.

• Demonstrate Strategic Thinking: Go beyond just reporting findings; explain how you synthesized information to influence strategy and roadmaps.

• Highlight Collaboration: Show how you worked with cross-functional teams and influenced decision-making.

• Address AI Experience: Be ready to discuss your experience with AI-assisted research tools and your perspective on their role in modern UX research.

Challenge Preparation:

• Be prepared for a potential "take-home" assignment or a live case study discussion focused on a product-related problem.

• Practice articulating your thought process for a given research problem, outlining potential methodologies, and how you would approach participant recruitment for a specific user group.

• Prepare to discuss how you would measure the success of a research initiative or a product change informed by your work.

📝 Enhancement Note: The emphasis on portfolio presentation and potential case studies indicates a desire to see practical application of research skills and strategic thinking, especially regarding complex user environments and AI integration.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Tools for survey creation, participant management, and potentially remote usability testing (e.g., UserTesting.com, Lookback, Maze).

• Collaboration Tools: Proficiency with tools like Slack, Zoom, Google Workspace (Docs, Sheets, Slides), Microsoft Teams, and potentially Asana, Jira, or Trello for project tracking.

• Prototyping/Design Tools: Familiarity with tools like Figma, Sketch, or Adobe XD for understanding designs and providing feedback.

Analytics & Reporting:

• Data Analysis Tools: Experience with tools like Excel, Google Sheets, and potentially basic SQL for data manipulation and analysis.

• Business Intelligence Tools: Familiarity with platforms like Tableau, Looker, or Power BI for understanding product usage data and performance metrics.

• Qualitative Analysis Tools: Software for thematic analysis and synthesis of qualitative data (e.g., Dovetail, NVivo, or even advanced spreadsheet techniques).

CRM & Automation:

• CRM Systems: Understanding of how CRM data (e.g., Salesforce) might inform user segmentation or research participant targeting.

• AI-Assisted Research Tools: Explicitly mentioned as a requirement. This could include AI-powered transcription services, sentiment analysis tools, insight generation platforms, or AI-driven prompt engineering for research.

📝 Enhancement Note: The technology stack is a blend of standard UX research tools and emerging AI capabilities. Proficiency in data analysis and collaboration platforms is critical for success in a remote, cross-functional environment.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for both professional and consumer users, ensuring their needs are at the forefront of product development.

• Data-Driven Decision-Making: Valuing evidence from research and analytics to inform strategies and product choices.

• Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly, share insights, and provide constructive feedback.

• Continuous Learning & Innovation: Encouraging exploration of new research methodologies, tools (especially AI), and approaches to stay at the cutting edge of UX research.

• Impact & Ownership: Taking initiative and responsibility for driving meaningful outcomes through research, with a focus on measurable business impact.

Collaboration Style:

• Cross-functional Partnership: Actively engaging with Product, Design, Engineering, Data Science, and Analytics teams, acting as a bridge between user needs and product development.

• Mentorship & Enablement: A culture of knowledge sharing, where senior members actively mentor junior colleagues and empower others to conduct effective research.

• Agile & Iterative: Embracing agile principles, with frequent feedback loops and iterative refinement of research plans and product designs.

• Evidence-Based Persuasion: Using research findings and data to build consensus and influence stakeholders, rather than relying on opinion.

📝 Enhancement Note: The company culture appears to be highly collaborative, data-informed, and focused on user impact, with a strong emphasis on continuous improvement and embracing new technologies like AI in research.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex User Ecosystems: Effectively researching and synthesizing needs across distinct professional and consumer user groups within a multi-sided platform.

• Demonstrating Measurable Impact: Quantifying the ROI of research initiatives, especially in qualitative-heavy fields, and linking it directly to business objectives.

• Scaling Research Effectively: Balancing deep, strategic research with the need to enable self-service research for product and design teams without sacrificing quality.

• Integrating AI Ethically and Effectively: Leveraging AI-assisted tools while maintaining research rigor, ethical standards, and human oversight.

Learning & Development Opportunities:

• Advanced Research Methodologies: Opportunities to gain expertise in specialized field research techniques, mixed-methods approaches, and longitudinal studies.

• Leadership Training: Development programs focused on mentorship, team management, and influencing organizational strategy.

• Industry Conferences & Certifications: Support for attending relevant UX research conferences and pursuing professional certifications.

• AI in Research Workshops: Training and hands-on experience with cutting-edge AI tools for research analysis and insight generation.

📝 Enhancement Note: The challenges presented are common for senior roles in growing tech companies, especially those dealing with complex user bases and emerging technologies. The growth opportunities are well-aligned with a senior individual contributor or aspiring management track.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to research a complex user ecosystem with distinct professional and consumer audiences. What were the key challenges, and how did you approach them to ensure both groups' needs were met?" (Focus on methodology, synthesis, and strategic recommendations.)

• "How do you define and evolve research strategies for a product area? Walk us through an example where your strategic research decisions directly influenced a product roadmap or significant business outcome." (Highlight strategic planning, prioritization, and impact.)

• "Discuss your experience mentoring junior researchers or coaching non-researchers on research practices. What was your approach, and what were the results?" (Demonstrate leadership and enablement skills.)

• "How have you used AI-assisted tools in your research process? What are the benefits and potential drawbacks, and how do you ensure research integrity?" (Showcase technical curiosity and critical thinking about new tools.) Company & Culture Questions:

• "Based on your understanding of our company, what do you see as the biggest research opportunities or challenges for our field and consumer products?" (Demonstrate research into the company and its market.)

• "How do you approach collaboration with Product Managers and Designers? Describe a situation where you had to persuade stakeholders with conflicting priorities using research insights." (Highlight communication and influence skills.)

• "What are your thoughts on a 'design-led' culture and how UX research contributes to it?" (Align with company values.) Portfolio Presentation Strategy:

• Select Impactful Case Studies: Choose projects that best showcase your expertise in field/consumer research, strategic thinking, and measurable impact. Aim for 1-2 strong examples.

• Structure Your Narrative: Clearly define the problem, your role, the research methods used (and why), key insights, your recommendations, and the actual product/business impact.

• Quantify When Possible: Use metrics, KPIs, or user feedback to demonstrate the success of your recommendations.

• Be Prepared for Deep Dives: Anticipate questions about your specific contributions, alternative approaches, and how you handled any challenges or disagreements.

• Highlight AI Integration: If applicable, showcase how AI tools were used in your case studies and the value they brought.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, ability to handle complex user scenarios, leadership potential, and a proactive approach to using new technologies like AI in research.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on Lever.co.

• Tailor your resume: Highlight experience in field research, consumer research, two-sided markets, and end-to-end product lifecycle contributions. Quantify achievements and use keywords from the job description.

• Curate your portfolio: Select 1-2 strong case studies that best represent your senior-level experience, focusing on research strategy, impact, and collaboration. Be ready to present these clearly.

• Prepare for interview questions: Practice articulating your experience with behavioral, strategic, and situational questions, especially those related to mentorship and AI tools.

• Research the company: Understand Jobgether's mission and the partner company's products to demonstrate genuine interest and strategic insight during interviews.

⚠️ 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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