Sr UX Researcher I

📍 Job Overview

Job Title: Sr UX Researcher I

Company: Remitly

Location: New York, NY, United States

Job Type: Full-Time

Category: User Experience Research / Product Development

Date Posted: May 22, 2026

Experience Level: Mid-Senior Level

Remote Status: Hybrid

🚀 Role Summary

• Lead complex, multi-method UX research initiatives for AI-powered legal product experiences and strategic innovation.

• Drive product strategy and actionable recommendations by translating deep user insights from legal professionals into clear guidance.

• Collaborate closely with product managers, designers, engineers, and AI practitioners to inform product direction and user experience.

• Utilize a combination of qualitative and quantitative research methods, including generative and evaluative studies, to uncover user needs and behaviors.

• Leverage generative AI tools and behavioral data analytics to enhance research synthesis and insight generation.

📝 Enhancement Note: This role focuses on the intersection of User Experience Research and cutting-edge AI technology within the legal sector. The emphasis on "AI-powered legal product experiences" and "generative AI tools" indicates a forward-thinking approach to product development, requiring researchers who can navigate the complexities of new technology adoption and its impact on professional users. The "Senior UX Researcher I" title suggests a role with significant autonomy and potential for mentorship.

📈 Primary Responsibilities

• Lead end-to-end UX research initiatives, encompassing planning, execution, analysis, and communication of findings for AI-enabled product areas.

• Design and implement generative, evaluative, and strategic research studies to address complex product challenges and innovation opportunities.

• Partner effectively with product management, design, engineering, and AI teams to integrate user insights into product roadmaps and design iterations.

• Conduct rapid discovery research in fast-paced product development cycles to quickly identify user needs and validate concepts.

• Directly engage with legal professionals (customers) to deeply understand their workflows, pain points, and unmet needs within the context of legal technology.

• Synthesize research findings from various sources, including user interviews, surveys, behavioral data, and AI-assisted tools, into clear, actionable product and business recommendations.

• Mentor and guide junior researchers on research methodologies, effective storytelling, and stakeholder engagement strategies.

• Champion user-centered design principles and research best practices across product development teams.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on research execution and strategic leadership. The mention of "AI practitioners" and "generative AI solutions" suggests a need for a researcher comfortable with technology development and its implications for user behavior and product design. The mentoring aspect indicates an expectation of leadership and knowledge sharing within the UX research function.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Information Science, or a related field, or equivalent practical experience. Experience:

• Proven track record of conducting end-to-end UX research using a variety of qualitative and quantitative methods, with a focus on driving product outcomes.

• Demonstrated experience leading complex, strategic research initiatives independently from conception to delivery. Required Skills:

• Expert proficiency in qualitative research methodologies (e.g., user interviews, usability testing, ethnographic studies, diary studies).

• Strong experience in quantitative research methods (e.g., surveys, A/B testing, analytics interpretation).

• Hands-on experience utilizing Generative AI tools to support research workflows, data analysis, or insight generation.

• Demonstrated ability to synthesize research findings from ambiguous or complex data into clear, strategic guidance for product and design teams.

• Excellent stakeholder management, facilitation, and presentation skills, with the ability to communicate insights effectively to diverse audiences.

• Proven experience collaborating effectively with product managers, designers, engineers, and data scientists.

• Ability to manage multiple research projects concurrently in fast-paced, dynamic environments with minimal supervision.

• Strong understanding of user-centered design principles and product development lifecycles. Preferred Skills:

• Experience conducting research within the legal tech industry or for professional services products.

• Familiarity with AI ethics and responsible AI principles in product development.

• Experience with advanced analytics tools and interpreting behavioral data.

• Knowledge of research operations (ResearchOps) best practices.

📝 Enhancement Note: The requirement for "Hands-on experience using Generative AI tools" is a critical differentiator for this role, indicating a need for researchers who are not only skilled in traditional UX methods but also adaptable to emerging AI technologies shaping research practices. The emphasis on leading "complex research initiatives" and managing "multiple priorities" points towards a candidate with a strong sense of ownership and project management capabilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of end-to-end research projects, clearly outlining the research problem, methodology, execution, and impact.

• Case studies showcasing the ability to translate complex research insights into actionable product and business recommendations that influenced product direction.

• Examples of research that involved complex user workflows or professional user needs, particularly within technology-driven environments.

• Evidence of strategic research initiatives that informed product strategy or identified new opportunities.

• Presentation of research findings in a clear, compelling, and concise manner, suitable for diverse stakeholder groups. Process Documentation:

• Showcase of how research processes were adapted to fast-paced product development environments.

• Examples of integrating qualitative and quantitative data, potentially including behavioral analytics or AI-assisted insights.

• Documentation illustrating collaboration with cross-functional teams (product, design, engineering) throughout the research lifecycle.

• Evidence of mentoring or guiding other researchers in research methodologies or presentation skills.

📝 Enhancement Note: The portfolio should prominently feature projects demonstrating strategic impact, complex problem-solving, and the ability to influence product decisions. Given the role's focus on AI, including examples where AI tools were leveraged in the research process or where research informed AI-driven product features would be highly beneficial. The "process documentation" aspect implies a need to show how research is integrated systematically into product development.

💵 Compensation & Benefits

Salary Range:

• New York, NY Base Pay Range: $114,300 - $190,500 annually. Benefits:

• Annual Incentive Bonus: Eligibility for performance-based bonuses.

• Wellbeing Initiatives: Comprehensive programs focused on employee health and wellness.

• Shared Parental Leave: Support for new parents with shared leave policies.

• Study Assistance: Resources and support for continued professional development and education.

• Sabbaticals: Opportunities for extended leave to recharge and pursue personal growth.

• Flexible Working Hours: Ability to adjust work schedules to optimize productivity and work-life balance.

• Comprehensive Health, Dental, and Vision Insurance (implied by standard benefits packages and company website).

• Retirement Savings Plan (e.g., 401k) with potential company match (standard for US roles).

• Paid Time Off (PTO), including vacation, sick leave, and holidays. Working Hours:

• Standard 40 hours per week, with flexible working hours to accommodate personal needs and peak productivity times.

📝 Enhancement Note: The provided salary range is specific to New York, NY, and is a key piece of information. The listed benefits are a mix of standard corporate offerings and specific programs like shared parental leave and sabbaticals, indicating a strong focus on employee well-being and long-term career support. The "flexible working hours" align with modern work arrangements, offering autonomy to the employee.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal & Professional Information Services, Technology, AI Solutions.

Company Size: LexisNexis Legal & Professional employs over 11,800 people worldwide, with over 2,000 technologists, data scientists, and experts. RELX, the parent company, is a global provider of information-based analytics and decision tools.

Founded: LexisNexis traces its roots back to the late 1960s, with significant digital innovation starting in the 1980s. RELX was founded in 1970.

Team Structure:

• The UX Research team likely operates within a larger Product or Technology organization, collaborating closely with Product Management, Design, Engineering, and AI development teams.

• The "Senior UX Researcher I" role suggests a team structure where senior members can mentor junior staff and influence research strategy.

• Cross-functional collaboration is a core expectation, with researchers acting as a bridge between users and product development teams. Methodology:

• Data-driven decision-making is paramount, with an emphasis on leveraging both user research insights and behavioral analytics.

• The company is actively integrating AI and advanced technologies, suggesting a culture that embraces innovation and continuous learning.

• Focus on understanding complex professional workflows and translating them into intuitive digital experiences.

• Commitment to Responsible AI Principles, indicating a thoughtful approach to technology development.

Company Website: https://www.relx.com/

📝 Enhancement Note: The company's deep roots in legal information combined with its aggressive adoption of AI and advanced technologies create a unique environment. This suggests a culture that values both established expertise and forward-thinking innovation. The scale of RELX implies robust processes and resources, while the specific focus of LexisNexis on legal professionals means a deep understanding of a specialized user base is crucial.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a "Senior I" level within UX Research, indicating a mid-to-senior career stage. It requires independent leadership of complex initiatives and offers opportunities for mentorship, suggesting a path towards principal researcher or research lead roles.

Reporting Structure: Likely reports to a UX Research Manager or Director, within a broader Product or Design organization. Will work closely with Product Managers, Designers, Engineers, and AI Practitioners.

Operations Impact: UX research directly influences product strategy, feature development, and overall user experience for AI-powered legal products. This role's insights will be critical in ensuring the usability, adoption, and effectiveness of new technologies, ultimately impacting customer productivity, decision-making, and the advancement of the rule of law.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-driven research methods, generative AI applications in UX, and complex professional user research.

• Leadership Development: Opportunities to mentor junior researchers, lead research strategy for major product areas, and contribute to defining research best practices.

• Cross-Functional Exposure: Gain in-depth understanding of AI development, product management, and engineering processes within a large, innovative technology organization.

• Career Advancement: Potential to move into Principal UX Researcher, Research Lead, or UX Research Management roles.

📝 Enhancement Note: The "Senior I" designation is important; it implies a level of autonomy and responsibility beyond a junior role but may not yet be at the highest principal/lead level. The growth opportunities are tied to both deepening UX research expertise, particularly in the AI domain, and developing leadership and strategic influence within the product development lifecycle.

🌐 Work Environment

Office Type: The role is designated as Hybrid, meaning a combination of in-office and remote work. This suggests a modern office environment designed for collaboration, with dedicated spaces for focused work and team interaction.

Office Location(s): New York, NY. Specific office details would typically be available upon inquiry or during the interview process. The location in NYC offers access to a vibrant professional community.

Workspace Context:

• Collaborative spaces designed to facilitate interaction between UX researchers, designers, product managers, and engineers.

• Access to necessary technology and tools for research, analysis, and communication, including potential access to AI tools and platforms.

• An environment that encourages knowledge sharing and cross-functional teamwork to tackle complex product challenges.

• A focus on work-life balance, with flexible working hours and well-being initiatives. Work Schedule:

• Standard full-time hours (approximately 40 hours per week) with the flexibility to adjust working times to optimize productivity. This allows for personal commitments and working during peak performance periods.

📝 Enhancement Note: The "Hybrid" work arrangement is a key detail. It implies that while flexibility is offered, there's an expectation of in-office presence for collaboration, team building, and specific meeting types. The New York City location suggests a dynamic work environment within a major business hub.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review: Candidates will likely be asked to present their portfolio, showcasing 2-3 key research projects that demonstrate their skills in end-to-end research, strategic impact, and handling complex challenges.

• Interviews with Cross-Functional Partners: Expect interviews with Product Managers, Designers, and potentially Engineers or AI Practitioners to assess collaboration skills and understanding of product development processes.

• Behavioral and Situational Interviews: Questions will focus on past experiences, problem-solving approaches, stakeholder management, and how candidates handle ambiguity and drive impact.

• Research Challenge (Potentially): A take-home or in-person research exercise might be given to assess practical research skills, analytical thinking, and communication abilities.

• Final Interview: Likely with a senior leader (e.g., Director of UX Research or Product) to discuss strategic vision, leadership potential, and final fit.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business and product impact of your research. Quantify results whenever possible (e.g., "improved conversion by X%", "reduced task completion time by Y%").

• Tell a Story: Structure each case study with a clear narrative: the problem, your approach, the key insights, the recommendations, and the outcome.

• Highlight Strategic Thinking: Showcase research that informed strategy, identified new opportunities, or addressed complex user needs, rather than just usability testing.

• Demonstrate Adaptability: Include examples of how you've adapted your methods to different project constraints, timelines, or research goals, especially in fast-paced environments.

• Showcase AI Integration: If possible, highlight any experience using AI tools in your research process or research that informed AI-powered product features.

• Prepare for Questions: Be ready to discuss your decision-making process, challenges encountered, and how you collaborated with stakeholders.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with legal tech, AI in professional services, and common user challenges in the legal field.

• Practice Research Design: Be prepared to outline a research plan for a given problem, including objectives, target participants, methodologies, and deliverables.

• Synthesize Information: Practice synthesizing findings from hypothetical data or scenarios into clear, actionable recommendations.

• Communicate Effectively: Rehearse presenting your findings and recommendations concisely and persuasively.

📝 Enhancement Note: The emphasis on a portfolio review and potentially a research challenge underscores the practical, results-oriented nature of this role. Candidates should be prepared to deeply discuss their past work and demonstrate their ability to apply research methodologies to real-world product challenges, particularly those involving complex professional users and advanced technologies like AI.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: UserTesting.com, Lookback, Maze, UserZoom, or similar platforms for remote usability testing and participant recruitment.

• Survey Tools: Qualtrics, SurveyMonkey, Google Forms for quantitative data collection.

• Collaboration Tools: Miro, Mural for ideation, journey mapping, and workshop facilitation.

• Prototyping Tools (for review): Figma, Sketch, Adobe XD (understanding how to review prototypes is key).

• Data Analysis Software: Excel, SPSS, R, Python (for quantitative analysis); NVivo, Dovetail for qualitative data analysis.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics (for understanding user behavior on digital platforms).

• Product Analytics: Mixpanel, Amplitude, Pendo (for in-depth product usage analysis).

• BI Tools: Tableau, Power BI, Looker (for visualizing data and creating dashboards).

CRM & Automation:

• CRM: Salesforce (understanding how CRM data can inform research or be used to segment users).

• Automation Tools: While not directly a researcher's tool, awareness of workflow automation in product development is beneficial.

📝 Enhancement Note: The specific mention of "Generative AI tools" in the requirements is highly significant. Candidates should be prepared to discuss their experience with AI tools not just for general analysis, but specifically for research workflows, such as AI-powered transcription, thematic analysis, or even generating research hypotheses. Familiarity with a broad suite of research, analytics, and collaboration tools is expected.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring that product decisions are grounded in user needs and behaviors.

• Data-Driven Innovation: Valuing both qualitative insights and quantitative data to inform product strategy and drive innovation, especially in the adoption of AI.

• Collaboration & Partnership: Fostering strong relationships with product, design, engineering, and AI teams to ensure research is integrated effectively and its impact is maximized.

• Continuous Learning & Improvement: A culture that encourages ongoing learning, experimentation with new research methodologies, and staying at the forefront of UX and AI advancements.

• Impact & Accountability: Focusing on delivering research that drives tangible product and business outcomes, with a clear sense of ownership for research projects.

Collaboration Style:

• Cross-Functional Integration: Researchers are embedded within product development teams, working closely with PMs, Designers, and Engineers on a daily basis.

• Facilitative Approach: Senior researchers are expected to facilitate workshops, discussions, and research reviews, guiding teams toward actionable insights.

• Open Communication: Encouraging transparent feedback loops and active listening to ensure diverse perspectives are considered in the research and design process.

• Knowledge Sharing: A culture that promotes sharing research findings, best practices, and lessons learned across the broader organization.

📝 Enhancement Note: The company's emphasis on AI and legal tech suggests a culture that values deep domain expertise alongside technological innovation. The "Senior I" role implies a culture that supports mentorship and the development of leadership within research. The collaboration style will likely be highly integrated, requiring researchers to be proactive communicators and team players.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Complexity: Researching user needs and behaviors for novel AI-powered features requires adapting traditional methods and understanding the unique interaction paradigms of AI.

• Ethical Considerations: Ensuring responsible and ethical application of AI in legal products, considering user trust, data privacy, and potential biases.

• Professional User Needs: Deeply understanding the complex, often specialized, workflows and demands of legal professionals to deliver truly impactful solutions.

• Balancing Speed and Rigor: Conducting high-quality research efficiently in fast-paced product development cycles.

Learning & Development Opportunities:

• AI Research Specialization: Opportunities to become a subject matter expert in UX research for AI-driven products, exploring cutting-edge methodologies and tools.

• Mentorship & Leadership: Developing leadership skills through mentoring junior researchers and potentially leading research initiatives for significant product areas.

• Industry Trends: Staying abreast of advancements in AI, legal tech, and UX research through conferences, training, and internal knowledge sharing.

• Strategic Influence: Growing influence on product strategy and roadmap decisions through impactful research and effective stakeholder engagement.

📝 Enhancement Note: The primary challenge will be bridging the gap between advanced AI capabilities and the practical needs of legal professionals. The growth opportunities are strongly tied to developing expertise in this niche and honing leadership skills within a technologically advanced product development environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex research project you led that significantly influenced product strategy. What was your approach, what were the key insights, and what was the outcome?" (Focus on showing strategic thinking, end-to-end execution, and measurable impact).

• "How would you approach researching user needs for a new generative AI feature in a legal context? What methods would you use and why?" (Assess understanding of AI research challenges and methodology selection).

• "How do you balance the need for rigorous research with the demands of fast-paced product development?" (Demonstrate agility, prioritization skills, and ability to deliver value quickly).

• "Describe a time you had to synthesize ambiguous or conflicting data into clear recommendations. How did you manage this process?" (Highlight analytical skills and ability to drive clarity from complexity). Company & Culture Questions:

• "What interests you about LexisNexis and the legal tech industry, particularly our work with AI?" (Show genuine interest and research into the company's mission).

• "How do you ensure your research aligns with Responsible AI principles?" (Demonstrate awareness of ethical AI considerations).

• "How do you approach collaborating with product managers, designers, and engineers?" (Assess teamwork and communication skills).

• "How do you mentor or guide other researchers?" (Evaluate leadership potential and ability to share knowledge). Portfolio Presentation Strategy:

• Select High-Impact Projects: Choose 2-3 projects that best showcase your strategic thinking, end-to-end research capabilities, and ability to drive measurable outcomes.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the impact of your research on the product or business.

• Structure Your Narrative: For each project, clearly define the problem, your research objectives, your methodology, key findings, actionable recommendations, and the resulting impact.

• Highlight AI Relevance: If applicable, emphasize how you used AI tools or how your research informed AI-powered features.

• Be Prepared for Deep Dives: Anticipate detailed questions about your process, decisions, and challenges.

📝 Enhancement Note: Interview preparation should strongly emphasize the candidate's ability to handle complex, professional users and nascent AI technologies. Demonstrating strategic thinking, strong collaboration, and a results-oriented approach will be key. The portfolio presentation is a critical component, so candidates should practice articulating their work clearly and concisely.

📌 Application Steps

To apply for this Sr UX Researcher I position:

• Submit your application through the provided Workday link: https://relx.wd3.myworkdayjobs.com/relx/job/New-York-NY/Sr-UX-Researcher-I_R113842-1

• Curate Your Portfolio: Select 2-3 of your most impactful UX research projects that demonstrate end-to-end execution, strategic influence, and experience with complex user needs or AI technologies. Ensure each case study clearly outlines the problem, your approach, key insights, actionable recommendations, and measurable outcomes.

• Tailor Your Resume: Highlight keywords and experiences directly relevant to the job description, such as "UX Research," "Qualitative," "Quantitative," "Generative AI," "Product Strategy," "Stakeholder Management," and "Legal Tech" (if applicable). Quantify achievements whenever possible.

• Prepare for Interview Presentations: Practice articulating your portfolio projects and answering behavioral questions. Be ready to discuss your research process, decision-making, and how you drive impact. Research LexisNexis's approach to AI and legal technology.

• Research LexisNexis & RELX: Understand the company's mission, its position in the legal tech market, and its commitment to Responsible AI. Prepare thoughtful questions about the team, projects, and company culture.

⚠️ 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.