UX Researcher II

📍 Job Overview

Job Title: UX Researcher II

Company: Fullbay

Location: Phoenix, Arizona (Remote)

Job Type: Full-Time

Category: Product & Design Operations

Date Posted: February 25, 2026

Experience Level: Mid-level (2-4 years)

Remote Status: Remote OK

🚀 Role Summary

• This role is critical in establishing and scaling core research practices within a growing product organization, focusing on understanding customer needs and validating product decisions.

• The UX Researcher II will bridge the gap between user insights and product strategy, particularly as the company integrates AI-powered capabilities.

• Key responsibilities include planning and executing both qualitative and quantitative research initiatives to inform product roadmaps and design execution.

• A significant part of the role involves managing and evolving the Customer Advisory Board (CAB) program to gather strategic customer feedback.

📝 Enhancement Note: This role is positioned within the "Product" department, but given the emphasis on understanding customers, informing product strategy, and validating decisions, it aligns strongly with Product Operations and UX/Design Operations functions, particularly in a B2B SaaS context. The integration of AI and complex workflows suggests a need for researchers adept at understanding intricate user journeys and operational efficiencies.

📈 Primary Responsibilities

• Plan and conduct comprehensive qualitative research, including user interviews, usability testing, and field studies, to uncover user needs and pain points.

• Execute quantitative research methodologies, such as surveys and analysis of behavioral data (e.g., using Pendo, Amplitude, Google Analytics), to validate qualitative findings and measure impact.

• Establish and manage a regular cadence of customer research, ensuring consistent feedback loops for product development.

• Own and strategically develop Fullbay’s Customer Advisory Board (CAB) program, including customer segmentation, meeting scheduling, and synthesizing insights for actionable recommendations.

• Collaborate closely with Product Managers and Designers to define research questions, set learning objectives, and ensure research directly influences product strategy and roadmap decisions.

• Support product launches by conducting pre-release validation of workflows, concepts, and AI-driven user experiences.

• Analyze and synthesize research findings into clear, compelling insights and reports that drive alignment across Design, Product, Engineering, and leadership teams.

• Leverage existing analytics tools (e.g., Pendo, Dovetail) to complement qualitative research with behavioral data and user analytics.

• Define success metrics and learning goals for new features, with a particular focus on trust-sensitive, data-rich, and AI-enabled workflows.

• Act as a customer advocate, balancing user needs with business objectives, timelines, and technical constraints.

• Treat "learning as a deliverable," ensuring research outputs are integrated into the product development lifecycle.

• Stay abreast of UX research best practices and emerging methods, introducing innovative approaches to customer learning.

• Ensure all research activities adhere to confidentiality and compliance regulations.

📝 Enhancement Note: The responsibilities heavily emphasize the "build foundational research practices" aspect, indicating a need for a proactive and self-starting individual who can define processes from the ground up. The mention of "AI-powered capabilities" and "complex workflow-based products" suggests that the ideal candidate will have experience in B2B SaaS environments dealing with intricate operational processes.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is often preferred for UX research roles, providing a strong theoretical foundation.

Experience: Minimum of 2–4 years of hands-on experience in UX research, user research, or a similar role, with a proven track record of influencing product decisions.

Required Skills:

• Demonstrated expertise in planning and conducting a variety of qualitative research methods, including:

  • User Interviews
  • Usability Testing (moderated and unmoderated)
  • Field Studies and Ethnographic Research
  • Focus Groups

• Proven ability to synthesize complex research findings into clear, actionable insights and present them effectively to diverse stakeholders.

• Experience with quantitative research methods, including survey design and analysis.

• Familiarity with product analytics tools (e.g., Pendo, Amplitude, Google Analytics) and behavioral data analysis.

• Strong collaboration skills, with experience working effectively with cross-functional teams (Product Management, Design, Engineering).

• Excellent written and verbal communication skills, capable of articulating complex ideas clearly and concisely.

• Comfort and proficiency in operating within ambiguous environments, with a proactive approach to establishing processes and driving initiatives.

Preferred Skills:

• Experience managing and scaling a Customer Advisory Board (CAB) program.

• Familiarity with specific research tools such as Dovetail for synthesis and analysis.

• Understanding of AI-driven features and the unique research challenges they present.

• Experience in domains like logistics, heavy-duty repair, operations, or service-based industries.

• A portfolio showcasing successful research projects and their impact on product development.

📝 Enhancement Note: The explicit mention of "building foundational research practices" and "operating in ambiguity" indicates that candidates with experience in scaling research functions or working in early-stage product teams will be highly valued. The preference for B2B/SaaS and complex workflows points towards needing a researcher who can navigate intricate user journeys and business processes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A well-curated portfolio demonstrating a range of UX research projects, highlighting your process from research design to insight delivery.

• Case studies should clearly articulate the research problem, your methodology, key findings, and the impact those findings had on product decisions or business outcomes.

• Examples of how you've translated research insights into actionable recommendations for product teams.

• Evidence of experience in both qualitative and quantitative research methods, showcasing a balanced approach.

• Specific examples of how you have contributed to product strategy or roadmap definition based on research.

Process Documentation:

• Ability to document research plans, methodologies, and findings in a clear and organized manner, ensuring reproducibility and knowledge sharing.

• Experience in developing and refining research processes, including recruitment strategies, data collection protocols, and synthesis frameworks.

• Demonstrating how you establish and manage recurring research cadences, such as regular usability testing or CAB meetings.

• Showcase examples of defining success metrics and learning goals for research initiatives.

📝 Enhancement Note: For a UX Researcher II role, especially one focused on building practices, a portfolio is crucial. It should not just display finished work but also the candidate's thought process, adaptability, and ability to drive impact through research. The emphasis on "learning as a deliverable" means the portfolio should highlight how research integrates into the broader product development lifecycle.

💵 Compensation & Benefits

Salary Range: $99,591.14 - $121,999.15 USD per year.

Benefits:

• Full-time employment benefits package (details not specified but typically include health, dental, vision insurance).

• Potential for remote work flexibility, allowing for a better work-life balance.

• Opportunity to work with AI-first technology and contribute to innovative solutions.

• Professional development opportunities within a growing product organization.

• Contribution to building foundational research practices.

Working Hours: The role is described as full-time, implying a standard 40-hour workweek. The remote nature offers flexibility in how these hours are structured, provided core responsibilities and collaboration needs are met.

📝 Enhancement Note: The provided salary range is specific and falls within the mid-to-senior level for UX Researchers in the US, especially in areas with a strong tech presence or for remote roles commanding competitive compensation. While specific benefits aren't detailed, the "Remote OK" status and the company's industry suggest a competitive benefits package is likely. For a remote role, understanding the company's approach to asynchronous work and communication is key.

🎯 Team & Company Context

🏢 Company Culture

Industry: Fullbay operates in the heavy-duty repair industry, providing technology solutions to shops. As an "AI-First company," they are focused on leveraging artificial intelligence to drive innovation and efficiency. This context suggests a company that is forward-thinking, tech-driven, and aims to solve complex operational challenges.

Company Size: While not explicitly stated in the raw data, the presence of a "UX Researcher II" role and a structured hiring process (via BambooHR) suggests a mid-to-large sized company with established product and engineering teams. The mention of "growing product organization" implies a dynamic environment.

Founded: Founding date is not provided, but the company's mission to "create safer roads" and its leadership in the industry indicates a mature company with a clear mission.

Team Structure:

• The UX Researcher II will report to a Product or Design leadership role.

• They will work closely with Product Managers, UX Designers, and Engineering teams, indicating a highly collaborative, cross-functional environment.

• The role involves establishing research practices, suggesting it might be a central function or part of a dedicated UX/Product Research team.

Methodology:

• The company emphasizes an "AI-First" approach, indicating a strong focus on data, algorithms, and intelligent automation.

• The UX Researcher will be instrumental in applying research methodologies to validate AI-powered features and complex workflows.

• The goal is to "eliminate friction, spark innovation, and drive efficiencies," which should be reflected in the research approach – focusing on actionable insights that lead to tangible improvements.

• "Learning as a deliverable" suggests a commitment to continuous improvement and data-informed decision-making.

Company Website: fullbay.com

📝 Enhancement Note: The "AI-First" and "system of intelligence" branding suggests a company that values data-driven innovation and technological advancement. For a UX Researcher, this means an opportunity to work on cutting-edge features and to help shape how AI is integrated into user experiences, which is a significant career differentiator.

📈 Career & Growth Analysis

Operations Career Level: This is a "UX Researcher II" position, typically considered a mid-level role. It requires 2-4 years of experience and the ability to work independently on research projects while also contributing to the development of research practices. It's a step up from an entry-level researcher, allowing for more ownership and strategic input.

Reporting Structure: The UX Researcher II will likely report into a Product or Design leadership role (e.g., Director of Product, Head of Design, or potentially a Senior UX Research Manager if such a role exists). They will collaborate extensively with Product Managers and Designers, and present findings to engineering and leadership teams.

Operations Impact:

• The UX Researcher's primary impact will be on product strategy and execution by ensuring products are designed around genuine customer needs and validated through rigorous research.

• By reducing assumptions and validating concepts, this role directly contributes to the efficiency of the product development lifecycle, saving resources and improving time-to-market for successful features.

• Informing the development of AI-powered capabilities and complex workflows will have a direct impact on user adoption, satisfaction, and ultimately, the company's ability to deliver value and drive efficiency for its customers.

Growth Opportunities:

• Skill Specialization: Opportunity to deepen expertise in specific research methodologies (e.g., advanced qualitative techniques, experimental design, AI user research).

• Practice Building: A significant opportunity to help define and build out the UX research function at Fullbay, establishing best practices, processes, and potentially mentoring junior researchers as the team grows.

• Domain Expertise: Develop deep knowledge of the heavy-duty repair industry and its operational complexities, becoming a subject matter expert.

• Leadership: Potential to grow into a Senior UX Researcher role, leading larger research initiatives, mentoring others, and taking on more strategic product influence.

• Cross-functional Advancement: Experience in influencing product strategy and working closely with product management could open doors to Product Management or Product Strategy roles.

📝 Enhancement Note: The "II" in the title and the 2-4 years of experience suggest a role that is beyond entry-level but not yet senior leadership. The emphasis on "building foundational research practices" is a key growth indicator, offering the chance to shape the function and potentially lead future research efforts.

🌐 Work Environment

Office Type: The role is listed as "Phoenix, Arizona (Remote)," indicating a remote-first or remote-friendly work environment. This means employees can work from home, offering flexibility and autonomy.

Office Location(s): While the role is remote, the primary location mention is Phoenix, Arizona. This suggests that the company may have a physical headquarters or significant presence there, and that remote employees might be expected to reside within a certain time zone or region for collaboration purposes, though this is not explicitly stated.

Workspace Context:

• Collaborative Environment: The role explicitly requires close collaboration with Product, Design, and Engineering teams, necessitating strong communication and teamwork, even in a remote setting. This likely involves frequent use of video conferencing, collaborative document tools, and project management software.

• Operations Tools and Technology: Researchers will leverage existing analytics tools (Pendo, Dovetail) and likely utilize standard remote collaboration suites (e.g., Slack, Zoom, Google Workspace). Access to necessary hardware and software for research activities will be provided.

• Operations Team Interaction: Regular virtual meetings, asynchronous communication channels, and potentially occasional in-person meetups (if company policy allows/requires) will facilitate interaction with the broader product and design teams.

Work Schedule: Standard full-time hours (likely 40 hours/week) are expected. The remote nature provides flexibility in scheduling, allowing individuals to manage their time effectively to balance work and personal life, while ensuring availability for team collaboration and research activities during core business hours.

📝 Enhancement Note: For a remote UX Researcher, the ability to self-manage, maintain strong communication, and effectively use digital collaboration tools is paramount. The company's "AI-First" nature might also imply the use of advanced collaboration or data visualization tools.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will review applications and conduct a brief screening call to assess basic qualifications, experience, and cultural fit.

2. Portfolio Review & Discussion: Candidates will likely be asked to present their portfolio, showcasing 2-3 key research projects. This stage assesses research methodology, synthesis skills, and the impact of their work. Expect questions about your role, process, and outcomes.

3. Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on specific research experience, problem-solving skills, ability to work in ambiguity, and alignment with the company's mission and values.

4. Cross-functional Interviews: Interviews with Product Managers, Designers, and potentially Engineers to evaluate collaboration skills, communication style, and ability to integrate research into the product development lifecycle.

5. Final Interview/Offer: Potentially a final interview with senior leadership, followed by an offer.

Portfolio Review Tips:

• Structure Your Narrative: For each project, clearly outline the problem statement, your role, the research questions, methodology, key findings, limitations, and most importantly, the impact and recommendations.

• Show, Don't Just Tell: Use visuals, user quotes, and data to illustrate your findings and recommendations.

• Highlight Process & Rigor: Demonstrate your understanding of research ethics, participant recruitment, and appropriate methodologies for different research questions.

• Focus on Impact: Quantify the impact of your research whenever possible (e.g., "identified a usability issue that led to a X% increase in task completion," or "research findings informed a feature that contributed to Y% user adoption").

• Tailor to the Role: Emphasize experience with B2B SaaS, complex workflows, AI features, and building research practices, as these are key aspects of the Fullbay role.

• Prepare for Ambiguity: Be ready to discuss how you approach research when requirements are not fully defined.

Challenge Preparation:

• Be prepared for a potential take-home assignment or a live exercise where you might be asked to critique a product, propose research for a hypothetical feature, or outline a research plan.

• Focus on demonstrating your strategic thinking, ability to define clear research questions, and selection of appropriate methodologies.

• Practice articulating your thought process clearly and concisely, as if you were presenting to stakeholders.

📝 Enhancement Note: Given the emphasis on "building foundational research practices," interviewers will likely probe deeply into how candidates establish processes, manage ambiguity, and advocate for research within a product team. The portfolio presentation is a critical component for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Analytics & Behavioral Data: Pendo, Amplitude, Google Analytics (familiarity required, specific usage context for Pendo and Dovetail mentioned).

• Research Synthesis & Analysis: Dovetail (explicitly mentioned).

• Collaboration & Communication: Likely standard tools such as Slack, Zoom, Google Workspace (Docs, Sheets, Slides), Jira, Confluence.

• Design Tools (for collaboration): Figma, Sketch, Adobe XD (for reviewing designs and prototypes).

CRM & Automation: While not directly a research tool, understanding how CRM data (e.g., Salesforce) or customer feedback platforms contribute to research insights can be beneficial, especially in a B2B context.

Integration Tools: Understanding how research insights can be integrated into product management workflows and development pipelines is key.

📝 Enhancement Note: Proficiency with Pendo and Dovetail is explicitly called out, suggesting these are key tools in Fullbay's current stack or desired for the role. A strong understanding of how to integrate data from analytics platforms with qualitative findings is essential.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A strong emphasis on understanding and advocating for the customer, ensuring that product decisions are driven by user needs. This is evident in the focus on customer research and the CAB program.

• Data-Driven Innovation: As an "AI-First" company, Fullbay values data and technology to drive innovation and efficiency. Research findings are expected to be data-supported and contribute to intelligent solutions.

• Efficiency & Optimization: The company's mission and industry context (heavy-duty repair) highlight a focus on improving operational efficiency. Research should aim to identify friction points and opportunities for streamlining workflows.

• Collaboration & Cross-Functional Partnership: The role requires working closely with Product, Design, and Engineering, indicating a culture that values teamwork and shared ownership.

• Continuous Learning: The principle of "learning as a deliverable" underscores a commitment to ongoing improvement, knowledge sharing, and staying ahead of industry trends.

Collaboration Style:

• Proactive & Insightful: Researchers are expected to proactively identify research opportunities and deliver actionable insights that drive product strategy.

• Partnership-Oriented: Building strong working relationships with Product Managers and Designers is crucial for integrating research seamlessly into the product development process.

• Transparent Communication: Regularly sharing findings, research plans, and insights with stakeholders to ensure alignment and transparency.

• Adaptable: Comfortable working in a dynamic environment, adapting research approaches as needed, and contributing to the evolution of research practices.

📝 Enhancement Note: The "AI-First" and "system of intelligence" branding, combined with the focus on efficiency in a heavy-duty repair industry, suggests a culture that is both innovative and practical, valuing data and demonstrable results.

⚡ Challenges & Growth Opportunities

Challenges:

• Establishing Research Practices: As a researcher tasked with "building foundational research practices," a key challenge will be defining processes, tools, and methodologies from the ground up in a growing organization.

• Balancing Ambiguity and Structure: Working in an environment that is evolving requires comfort with ambiguity while simultaneously creating structure and rigor through research.

• Integrating AI Research: Researching AI-powered features presents unique challenges, such as understanding user trust, explaining complex functionality, and addressing ethical considerations.

• Cross-Functional Alignment: Ensuring research insights are consistently understood, valued, and acted upon by diverse stakeholders (Product, Design, Engineering, Leadership) can be challenging.

• Customer Access & Segmentation: Effectively segmenting customers for the CAB program and ensuring access to representative users across different segments (small, mid-market, enterprise) requires strategic planning.

Learning & Development Opportunities:

• Deepen AI Research Expertise: Gain hands-on experience researching cutting-edge AI features and understanding user interaction with intelligent systems.

• Shape Research Function: Play a pivotal role in defining the UX research discipline at Fullbay, setting standards, and influencing its future direction.

• Industry Domain Knowledge: Develop specialized knowledge in the heavy-duty repair industry, a complex and critical sector.

• Mentorship & Leadership: Opportunity to grow into a senior researcher role, mentor junior team members, and contribute to strategic product planning.

• Advanced Methodologies: Explore and implement advanced qualitative and quantitative research techniques to address complex product challenges.

📝 Enhancement Note: The challenges presented are typical for a mid-level role focused on establishing function. The growth opportunities are significant, particularly the chance to build out a research practice and gain expertise in AI user research within a specific industry.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to establish a new research process or practice. What steps did you take, and what was the outcome?" (Assesses ability to build foundational practices).

• "How do you approach user research for AI-powered features? What are the unique challenges and considerations?" (Tests understanding of AI research nuances).

• "Walk me through a research project where your insights directly influenced a product roadmap or strategy. How did you ensure your findings were understood and acted upon?" (Evaluates impact and stakeholder management).

• "How would you structure and manage Fullbay's Customer Advisory Board (CAB) to maximize its value?" (Assesses CAB program ownership and strategic thinking).

Company & Culture Questions:

• "What interests you about Fullbay's mission and our AI-First approach?" (Assesses research into the company).

• "How do you see UX research contributing to Fullbay's goal of 'eliminating friction, sparking innovation, and driving efficiencies'?" (Aligns research goals with company objectives).

• "How do you advocate for user needs while balancing business goals and technical constraints?" (Tests a key aspect of the role).

Portfolio Presentation Strategy:

• Select Relevant Projects: Choose 2-3 projects that best showcase your skills in qualitative and quantitative research, impact on product decisions, and experience with complex B2B/SaaS products. Prioritize projects demonstrating your ability to work in ambiguity or build processes.

• Tell a Story: Frame each project as a narrative: the problem, your approach, the findings, and the impact. Use clear visuals, user quotes, and data to support your points.

• Highlight Your Process: Be ready to deep-dive into your methodology, recruitment strategies, synthesis techniques, and how you translated insights into actionable recommendations.

• Quantify Impact: Wherever possible, quantify the outcomes of your research (e.g., improved conversion rates, reduced support tickets, increased user satisfaction).

• Prepare for Q&A: Anticipate questions about your decision-making, challenges faced, and how you would apply your experience to Fullbay's specific context.

📝 Enhancement Note: Given the role's focus on building practices and working with AI, interviewers will likely probe deeply into the candidate's strategic thinking, ability to operate independently, and their understanding of the unique challenges of researching AI-driven products and complex B2B workflows.

📌 Application Steps

To apply for this UX Researcher II position:

• Submit your application through the Fullbay careers portal (fullbay.bamboohr.com/careers/222).

• Tailor Your Resume: Highlight experience with qualitative and quantitative research methods, B2B SaaS products, complex workflows, and any experience in building research practices or working with AI. Quantify achievements wherever possible.

• Prepare Your Portfolio: Curate 2-3 strong case studies that demonstrate your research process, synthesis skills, ability to drive product impact, and experience relevant to Fullbay's industry and technology (AI). Ensure it's easily accessible (e.g., PDF, personal website).

• Research Fullbay: Understand their mission, products, target audience (heavy-duty repair shops), and their "AI-First" approach. This will help you tailor your application and prepare for interview questions.

• Practice Your Presentation: Rehearse presenting your portfolio projects, focusing on clear storytelling, highlighting impact, and articulating your research process. Be ready to discuss how your skills align with the specific responsibilities of this role.

⚠️ 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.