
UX Researcher
Job Description
Overview The Product Design, UX Researcher will bring rigor, curiosity, and genuine people-forward energy to Epsilon's Product Design team, connecting user behavior to product strategy through sharp, well-executed research. This is not a role for someone who waits to be told what to study. You will take ownership of the research agenda, assess each challenge independently, recommend the right methods, and drive the process from question to recommendation with confidence. You communicate findings in ways that move rooms and shift roadmaps, and you use AI tools to work faster without letting them do your thinking. This is a role for someone who genuinely loves talking to users, thrives when the brief is fuzzy, and knows that a well-framed recommendation is worth more than a hundred data points. Responsibilities Own research studies end-to-end: define the question, recommend the right methodology, recruit participants, facilitate sessions, synthesize findings, and deliver a clear recommendation, not just a report. Assess each research challenge on its own terms and advocate confidently for the most appropriate method, whether that is a contextual inquiry, diary study, moderated usability test, survey, card sort, or a combination, based on what the question actually demands. Plan and moderate qualitative research sessions (interviews, usability tests, inquiries) with warmth and confidence, putting participants at ease and drawing out honest, actionable responses. Design and analyze quantitative studies (surveys, tree tests, benchmarking, analytics review) and integrate those findings with qualitative insights to tell a complete story. Use user research tools such as Looppanel, Lyssna to accelerate the operational side of research, including transcription, affinity mapping, and initial pattern recognition, while applying human judgment to interpret what it all means. Build and maintain a shared research repository, making past findings discoverable and usable for the broader product team in our research MCP. Communicate findings to cross-functional partners, including product, engineering, and leadership, through structured presentations that connect user behavior directly to business outcomes and product decisions. Partner with Product Designers and Product Managers throughout the product development lifecycle, from generative discovery through evaluative testing of shipped features. Contribute to a user-centered culture by running research office hours, sharing findings broadly, and making it easier for non-researchers to engage meaningfully with user insights. Stay current with evolving research tools, AI-assisted workflows, and emerging methodologies, and proactively surface new approaches that could improve quality or efficiency. Qualifications What you'll bring with you: Three to five years of hands-on UX research experience on digital products, with a portfolio that demonstrates studies you owned from question to recommendation. Demonstrated fluency in both qualitative methods (in-depth interviews, usability testing, contextual inquiry, diary studies) and quantitative methods (surveys, card sorts, tree tests, product analytics review). A confident, upbeat presence in the room: as comfortable facilitating a one-on-one session with a skeptical enterprise user as presenting findings to a room of senior collaborators. The judgment to assess a research question and recommend the right method rather than defaulting to the most familiar one. Practical experience using AI tools to accelerate synthesis and operational tasks, with a clear and deliberate sense of where human interpretation must lead. Strong written and verbal communication skills, with the ability to distill complex findings into a decisive point of view rather than a neutral summary of what you heard. A working knowledge of how digital products are built and where research fits into agile, iterative product cycles. Degree in Human-Computer Interaction, Cognitive Science, Psychology, Anthropology, or a related behavioral discipline, or equivalent professional experience. An accessible portfolio or case studies that show not just the research methods used, but the decisions those studies influenced. Why you might stand out from other talent: You walk into a research brief and immediately start forming a point of view on the right approach, you do not wait for someone else to define the methodology. You have presented findings to skeptical partners and walked out having changed the direction of a product decision. You have a distinct facilitation style: you are genuinely curious, put people at ease quickly, and know how to ask the follow-up question that unlocks the real answer. You use AI as a productivity layer, not a substitute for thinking. You know exactly where AI-generated synthesis needs a human check, and you do that check every time. You have contributed to or helped establish a research repository that the wider team actually uses and references. You are comfortable operating with ambiguity and can define the research question yourself when the brief arrives incomplete. You have experience collaborating with data analysts or data scientists to triangulate qualitative findings with behavioral or product analytics data. You understand the difference between research that is methodologically sound and research that actually influences what gets built, and you optimize for the latter. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice. Additional Information When You Join Us, We’ll Create Something EPIC Together Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Because You Matter As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following: Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to [email protected] to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. #LI-TG1 Compensation Range: USD $89,700.00 - USD $166,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/24/2026.
What you'll bring with you: Three to five years of hands-on UX research experience on digital products, with a portfolio that demonstrates studies you owned from question to recommendation. Demonstrated fluency in both qualitative methods (in-depth interviews, usability testing, contextual inquiry, diary studies) and quantitative methods (surveys, card sorts, tree tests, product analytics review). A confident, upbeat presence in the room: as comfortable facilitating a one-on-one session with a skeptical enterprise user as presenting findings to a room of senior collaborators. The judgment to assess a research question and recommend the right method rather than defaulting to the most familiar one. Practical experience using AI tools to accelerate synthesis and operational tasks, with a clear and deliberate sense of where human interpretation must lead. Strong written and verbal communication skills, with the ability to distill complex findings into a decisive point of view rather than a neutral summary of what you heard. A working knowledge of how digital products are built and where research fits into agile, iterative product cycles. Degree in Human-Computer Interaction, Cognitive Science, Psychology, Anthropology, or a related behavioral discipline, or equivalent professional experience. An accessible portfolio or case studies that show not just the research methods used, but the decisions those studies influenced. Why you might stand out from other talent: You walk into a research brief and immediately start forming a point of view on the right approach, you do not wait for someone else to define the methodology. You have presented findings to skeptical partners and walked out having changed the direction of a product decision. You have a distinct facilitation style: you are genuinely curious, put people at ease quickly, and know how to ask the follow-up question that unlocks the real answer. You use AI as a productivity layer, not a substitute for thinking. You know exactly where AI-generated synthesis needs a human check, and you do that check every time. You have contributed to or helped establish a research repository that the wider team actually uses and references. You are comfortable operating with ambiguity and can define the research question yourself when the brief arrives incomplete. You have experience collaborating with data analysts or data scientists to triangulate qualitative findings with behavioral or product analytics data. You understand the difference between research that is methodologically sound and research that actually influences what gets built, and you optimize for the latter. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Own research studies end-to-end: define the question, recommend the right methodology, recruit participants, facilitate sessions, synthesize findings, and deliver a clear recommendation, not just a report. Assess each research challenge on its own terms and advocate confidently for the most appropriate method, whether that is a contextual inquiry, diary study, moderated usability test, survey, card sort, or a combination, based on what the question actually demands. Plan and moderate qualitative research sessions (interviews, usability tests, inquiries) with warmth and confidence, putting participants at ease and drawing out honest, actionable responses. Design and analyze quantitative studies (surveys, tree tests, benchmarking, analytics review) and integrate those findings with qualitative insights to tell a complete story. Use user research tools such as Looppanel, Lyssna to accelerate the operational side of research, including transcription, affinity mapping, and initial pattern recognition, while applying human judgment to interpret what it all means. Build and maintain a shared research repository, making past findings discoverable and usable for the broader product team in our research MCP. Communicate findings to cross-functional partners, including product, engineering, and leadership, through structured presentations that connect user behavior directly to business outcomes and product decisions. Partner with Product Designers and Product Managers throughout the product development lifecycle, from generative discovery through evaluative testing of shipped features. Contribute to a user-centered culture by running research office hours, sharing findings broadly, and making it easier for non-researchers to engage meaningfully with user insights. Stay current with evolving research tools, AI-assisted workflows, and emerging methodologies, and proactively surface new approaches that could improve quality or efficiency.