UX Researcher II - HYBRID NYC

📍 Job Overview

Job Title: UX Researcher II - HYBRID NYC

Company: Remitly

Location: New York, NY

Job Type: FULL_TIME

Category: User Experience Research / Product Development

Date Posted: May 22, 2026

Experience Level: Mid-Level (2-5 Years)

Remote Status: Hybrid

🚀 Role Summary

• This UX Researcher II role focuses on the intersection of AI and legal technology, aiming to enhance user-centered product experiences for legal professionals.

• The position involves planning and executing both qualitative and quantitative user research studies to inform the development of AI-powered legal products.

• A key aspect of this role is direct customer engagement, understanding the workflows and pain points of large law firms to drive product innovation.

• The researcher will collaborate closely with product managers, designers, and engineers, leveraging AI-assisted tools for research synthesis and insight communication.

📝 Enhancement Note: While the job title is "UX Researcher II," the responsibilities and requirements suggest a role deeply embedded within product development, specifically focusing on the application of AI in the legal tech domain. This is not a purely academic research role but one that directly influences product strategy and design. The emphasis on "AI-powered legal product experiences" and "large law firms" indicates a specialized niche within UX research.

📈 Primary Responsibilities

• Research Design and Execution: Independently plan and conduct a variety of user research studies, including usability testing, in-depth interviews, surveys, diary studies, and field research, tailored to AI-powered legal products.

• Cross-Functional Collaboration: Partner closely with product managers, designers, engineers, and other business stakeholders to define research questions, align on product goals, and ensure research efforts directly support strategic initiatives.

• AI Product Focus: Conduct rapid discovery and evaluative research to deeply understand user needs, workflows, and pain points within the context of AI-enabled legal solutions.

• Customer Engagement: Directly interact with customers, particularly legal professionals in large law firms, to gather insights that drive product innovation and address specific challenges.

• Insight Synthesis and Communication: Synthesize complex qualitative and quantitative data into clear, concise findings, actionable insights, and compelling recommendations that effectively influence product and design decisions.

• Solution Validation: Work collaboratively with design and product teams to iterate on solutions, using research findings to validate design concepts and product features.

• Leveraging AI Tools: Utilize AI-assisted tools to enhance efficiency in research planning, data synthesis, analysis, and the communication of research insights.

📝 Enhancement Note: The core responsibilities highlight a blend of traditional UX research methodologies with a forward-looking focus on AI integration. The emphasis on "rapid discovery and evaluative research" suggests a need for agility and the ability to deliver insights quickly in a fast-paced product development cycle. The specific mention of "large law firms" implies a need for understanding complex B2B enterprise environments.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for a UX Researcher role at this level.

Experience: 2-5 years of progressive experience in user experience research.

Required Skills:

• User Research Methodologies: Proven experience with a diverse range of qualitative and quantitative research methods, including usability testing, user interviews, surveys, diary studies, and field research.

• Project Leadership: Demonstrated ability to independently plan, execute, and manage small to medium-sized research projects from inception to completion.

• Insight Generation: Strong capability in synthesizing research findings into actionable recommendations that drive product and design improvements.

• Research Tool Proficiency: Familiarity with industry-standard survey or research platforms such as Qualtrics, SurveyMonkey, Dovetail, or similar tools for data collection and analysis.

• AI & Emerging Tech: Experience with Generative AI concepts and familiarity with emerging AI-enabled user experiences.

• Agile Development: Comfort and adaptability in fast-paced, iterative product development environments.

• Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate research findings to diverse audiences.

• Analytical & Problem-Solving: Strong analytical, organizational, and problem-solving skills, with a keen eye for detail.

Preferred Skills:

• Experience researching complex B2B enterprise software, particularly within the legal technology sector.

• Familiarity with AI's impact on professional workflows and decision-making.

• Experience with advanced data analysis techniques and statistical software.

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

📝 Enhancement Note: The "II" in UX Researcher II typically signifies a mid-level professional capable of working with some autonomy. The requirement for "Generative AI and emerging AI-enabled user experiences" is a critical differentiator, indicating the company is at the forefront of integrating AI into its product offerings and seeks researchers who can navigate this new landscape.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Research Impact: A portfolio showcasing a range of research projects, clearly articulating the research questions, methodologies used, key findings, and the tangible impact of those insights on product design and business outcomes.

• Methodological Breadth: Evidence of experience across various research methods (qualitative and quantitative), demonstrating adaptability to different research needs and project phases.

• AI Integration Examples: If possible, include examples of research conducted on AI-driven features or experiences, highlighting how user needs were uncovered and addressed.

• Synthesis and Recommendation Clarity: Portfolio pieces that clearly illustrate the ability to synthesize complex data into actionable recommendations for product and design teams.

Process Documentation:

• Research Planning: Ability to document research plans, including objectives, target participants, methodologies, timelines, and success metrics.

• Synthesis Frameworks: Experience in developing and applying frameworks for synthesizing qualitative and quantitative data to identify patterns, themes, and key insights.

• Impact Measurement: Demonstrating how research outcomes were tracked and measured for their impact on product success, user satisfaction, or business goals.

📝 Enhancement Note: For a UX Researcher role, especially one focused on AI, a portfolio is crucial. It needs to go beyond just showing artifacts and demonstrate the researcher's thought process, problem-solving approach, and ability to drive product decisions through data. The emphasis on AI means examples related to this area are highly valuable.

💵 Compensation & Benefits

Salary Range: $85,900 - $143,300 annually (New York, NY)

Benefits:

• Wellbeing Initiatives: Comprehensive programs and initiatives focused on employee well-being.

• Shared Parental Leave: Generous parental leave policies to support new parents.

• Study Assistance: Support for continuous learning and professional development through study assistance programs.

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

• Annual Incentive Bonus: Eligibility for an annual incentive bonus, tied to company and individual performance.

• Flexible Working Hours: The ability to adjust working hours to optimize productivity and work-life balance.

• Country-Specific Benefits: A comprehensive package of benefits tailored to the employee's location.

Working Hours: 40 hours per week (standard full-time, with flexibility).

📝 Enhancement Note: The salary range provided is specific to New York, NY, and reflects mid-level UX Researcher compensation in a high-cost-of-living area. The inclusion of "Annual Incentive Bonus" suggests a performance-driven component to compensation. The emphasis on "Flexible Working Hours" aligns with a modern approach to work-life integration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Information and Analytics, Legal Technology (LegalTech). LexisNexis Legal & Professional operates within the broader RELX Group, a global provider of information and analytics for professional customers.

Company Size: Remitly (as part of RELX) is a large enterprise, with RELX itself employing over 33,000 people globally. This indicates a well-established corporate structure with significant resources.

Founded: LexisNexis has a long history, originating in the 1970s, evolving into a digital pioneer in legal information services. RELX was founded in 1958.

Team Structure:

• Global UX Team: The UX team is described as a "passionate and diverse group of professionals" operating globally.

• Reporting: The UX Researcher II will likely report to a Senior UX Researcher or a UX Research Manager, working within a product development pod alongside designers, product managers, and engineers.

• Collaboration: Expect close collaboration with product and engineering teams, as well as direct engagement with customers (legal professionals). The role requires influencing product and design decisions.

Methodology:

• User-Centered Design: The team's focus is on user-centered product experiences, driven by research insights.

• Agile Development: The role operates within a "fast-paced, iterative product development environment," implying agile methodologies.

• Data-Driven Decisions: Research findings are used to "inform product and design decisions" and "influence product and design decisions," indicating a data-driven approach.

• AI Integration: A significant methodological focus is on integrating AI into product experiences.

Company Website: https://www.relx.com/ (Parent Company), https://www.lexisnexis.com/ (Brand)

📝 Enhancement Note: Working within a large corporation like RELX/LexisNexis offers stability, resources, and opportunities to work on significant products with a global impact. However, it may also mean navigating more structured processes and decision-making hierarchies compared to a startup. The specific mention of "legal work" and "large law firms" points to a B2B enterprise focus.

📈 Career & Growth Analysis

Operations Career Level: This is a mid-level (Level II) UX Researcher position. It requires a solid foundation in research methodologies and the ability to manage projects independently, but also offers opportunities for growth under senior guidance.

Reporting Structure: The role reports into a UX team, likely within a product division. The researcher will work closely with product managers, designers, and engineers, fostering strong cross-functional relationships. The direct report is likely to a Senior UX Researcher or UX Research Manager, with potential for mentorship from senior team members.

Operations Impact: The UX Researcher plays a critical role in shaping the direction of AI-powered legal products. By translating user needs and pain points into actionable insights, they directly influence product strategy, feature development, and overall user experience. This impact is crucial for driving customer adoption, satisfaction, and ultimately, business success in the competitive legal tech market. Understanding how AI can solve complex legal workflow problems is key to this impact.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-UX research, qualitative/quantitative methods, or specific legal tech domains.

• Project Leadership: Progress to leading larger, more complex research initiatives and potentially mentoring junior researchers.

• Career Progression: Advance to Senior UX Researcher, Lead UX Researcher, or management roles within the UX function.

• Cross-Functional Exposure: Gain deeper understanding of product management, design strategy, and engineering processes, potentially leading to roles in product strategy or design leadership.

• Industry Expertise: Become an expert in the legal technology landscape and the application of AI within it.

📝 Enhancement Note: A "II" level role is a stepping stone. Candidates should look for opportunities to demonstrate leadership potential and a proactive approach to learning and problem-solving. The emphasis on AI and legal tech means developing specialized knowledge here is a significant growth avenue.

🌐 Work Environment

Office Type: The role is designated as "HYBRID NYC," indicating a combination of in-office and remote work, with a primary base in New York City. This suggests a collaborative office environment designed to facilitate team interaction and brainstorming.

Office Location(s): New York, NY. Specific office address details would typically be provided during the interview process.

Workspace Context:

• Collaborative Spaces: The hybrid model likely includes access to office spaces designed for collaboration, meetings, and focused work.

• Technology Access: Researchers will have access to necessary tools and technologies, including AI-assisted research platforms and standard office productivity software.

• Team Interaction: The hybrid setup encourages regular interaction with designers, product managers, engineers, and other UX team members, fostering a strong sense of team cohesion and shared purpose.

Work Schedule: Standard 40-hour work week, with "working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive." This offers a degree of autonomy in managing daily schedules.

📝 Enhancement Note: The hybrid nature of the role suggests a balance between the flexibility of remote work and the benefits of in-person collaboration. Candidates should inquire about the expected in-office days and the typical activities planned for those days.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review & Presentation: Candidates will be asked to present their portfolio, showcasing key research projects, methodologies, and impact. This often involves a deep dive into specific case studies.

• Skills-Based Interviews: Interviews will focus on UX research methodologies, problem-solving skills, stakeholder management, and experience with AI and legal tech. This may include a take-home assignment or a live case study.

• Cross-Functional Interviews: Meetings with potential team members (product managers, designers, engineers) to assess collaboration style and technical understanding.

• Final Interview: Potentially with a senior leader or head of UX/Product, focusing on strategic thinking and long-term vision.

Portfolio Review Tips:

• Tell a Story: Structure your portfolio around compelling narratives that highlight your process, challenges, and the impact of your research.

• Focus on Impact: Quantify the results of your research whenever possible (e.g., "reduced task completion time by X%", "improved user satisfaction scores by Y%").

• Showcase AI Experience: If you have relevant experience with AI or emerging technologies, make it prominent. Explain your approach to researching these novel areas.

• Demonstrate Synthesis: Clearly articulate how you synthesized data and translated it into actionable insights and recommendations.

• Tailor to the Role: Emphasize projects and skills most relevant to AI-powered legal products and enterprise B2B environments.

Challenge Preparation:

• Research Case Study: Be prepared to walk through a detailed case study from your portfolio, explaining your role, methodology, findings, and impact.

• Hypothetical Scenario: Anticipate questions about how you would approach research for a new AI feature in legal tech, or how you would tackle a specific user problem.

• Methodology Justification: Be ready to explain why you chose specific research methods for particular projects and how they addressed the research objectives.

• AI & Ethics: Consider how you would approach researching AI features, including ethical considerations, bias detection, and user trust.

📝 Enhancement Note: The emphasis on AI means candidates should be prepared to discuss their understanding of AI's capabilities and limitations, and how to research user interaction with AI systems. A strong portfolio is crucial for demonstrating practical application of research skills.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Qualtrics, SurveyMonkey, Dovetail, UserTesting.com, Maze, or similar platforms for survey creation, usability testing, and data analysis.

• Collaboration Tools: Jira, Confluence, Asana, Trello for project management and workflow tracking.

• Communication Tools: Slack, Microsoft Teams for team communication.

• Design Tools: Familiarity with Figma, Sketch, or Adobe XD for understanding design artifacts and prototypes.

Analytics & Reporting:

• Data Analysis Software: Proficiency in tools for analyzing qualitative and quantitative data (e.g., Excel, SPSS, R, Python for advanced analysis).

• Visualization Tools: Experience with tools like Tableau or Power BI for creating dashboards and reports to communicate insights.

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how user research impacts CRM data and customer journeys is beneficial. Experience with Salesforce or similar platforms is a plus.

• AI-Assisted Tools: Specific mention of "AI-assisted tools to support research planning, synthesis, analysis, and insight communication" suggests the company uses or is exploring next-generation research tools.

📝 Enhancement Note: The mention of "AI-assisted tools" is a key differentiator. Candidates should be ready to discuss their experience or willingness to learn and apply AI tools in their research workflow. Familiarity with enterprise-level tools common in B2B SaaS environments is also important.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A strong commitment to understanding and advocating for the user in all product decisions.

• Curiosity & Learning: A drive to explore new technologies (like AI) and continuously learn about user needs and behaviors.

• Collaboration & Teamwork: Valuing close partnerships with design, product, and engineering to achieve shared goals.

• Impact & Data-Driven Decisions: A focus on delivering actionable insights that lead to measurable product improvements and business outcomes.

• Innovation: Embracing new approaches, especially in leveraging AI to solve complex problems in the legal domain.

Collaboration Style:

• Cross-Functional Integration: Researchers are expected to be integral members of product teams, working hand-in-hand with designers, product managers, and engineers.

• Open Communication: Encouraging open feedback and constructive dialogue to refine research plans and product solutions.

• Knowledge Sharing: A culture that promotes sharing research findings and best practices across the UX team and broader organization.

📝 Enhancement Note: The company culture appears to be focused on innovation, user advocacy, and collaborative problem-solving, particularly within the context of applying AI to professional workflows. Candidates should be prepared to demonstrate how they embody these values in their work.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Development: Keeping up with the rapid advancements in AI technology and understanding its evolving impact on user behavior and expectations.

• Complexity of Legal Workflows: Navigating and understanding the intricate and often specialized workflows of legal professionals, which can be a steep learning curve.

• Balancing Research Methods: Effectively integrating rapid discovery research with more in-depth studies to meet the demands of a fast-paced product cycle.

• Influencing Stakeholders: Effectively communicating complex research findings and advocating for user needs to influence product and business decisions within a large organization.

Learning & Development Opportunities:

• AI Research Specialization: Developing deep expertise in researching AI-powered products, including areas like AI ethics, explainability, and user trust.

• Legal Tech Domain Expertise: Becoming a subject matter expert in the legal technology industry and its unique user needs.

• Advanced Methodologies: Opportunities to learn and apply cutting-edge research techniques and tools, including advanced AI-driven synthesis methods.

• Professional Development: Access to training, conferences, and resources to enhance UX research skills and knowledge.

📝 Enhancement Note: This role presents a unique opportunity to work at the cutting edge of AI in a specialized industry. The challenges are significant but offer substantial rewards in terms of skill development and career advancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used generative AI to assist in your research process. What were the benefits and challenges?"

• "How would you approach researching the usability and adoption of a new AI feature designed to assist lawyers with document review?"

• "Walk us through a research project where your insights directly led to a significant product change. What was your process?"

Company & Culture Questions:

• "What interests you about applying UX research to the legal technology space and AI-powered products?"

• "How do you approach collaboration within a cross-functional product team?"

• "What are your thoughts on the ethical implications of AI in professional tools like those used by lawyers?"

Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, following the arc of a research project: problem, approach, execution, findings, and impact.

• Focus on "Why": Clearly articulate why you chose specific methodologies and why your findings were significant.

• Showcase AI Relevance: Highlight any projects that touch upon AI, automation, or complex professional workflows. Explain your unique contributions.

• Quantify Impact: Use data and metrics to demonstrate the tangible results of your research, linking it to business goals.

• Be Prepared for Deep Dives: Anticipate questions about specific details of your projects, including challenges, trade-offs, and alternative approaches.

📝 Enhancement Note: Candidates should prepare to discuss their understanding of AI's role in professional services and how UX research can guide its responsible and effective implementation. Demonstrating adaptability and a strong grasp of both research fundamentals and emerging AI concepts will be key.

📌 Application Steps

To apply for this UX Researcher II position:

• Submit your application through the Remitly/RELX careers portal, ensuring your resume highlights relevant experience in user research, AI, and ideally, B2B/enterprise software.

• Portfolio Customization: Prepare your UX research portfolio, emphasizing projects that showcase your ability to conduct qualitative and quantitative research, synthesize complex data, and drive product decisions. Specifically, highlight any experience related to AI, automation, or professional workflows.

• Resume Optimization: Tailor your resume to include keywords from the job description such as "UX Research," "Generative AI," "Usability Testing," "Qualitative Research," "Quantitative Research," "Data Synthesis," and "Product Development." Quantify achievements where possible.

• Interview Preparation: Practice articulating your research process and impact using the STAR method (Situation, Task, Action, Result). Prepare to discuss how you would approach researching AI-powered legal tech products.

• Company Research: Familiarize yourself with LexisNexis Legal & Professional, its products, and its position in the legal tech market. Understand the company’s commitment to AI and innovation.

⚠️ 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.