About the role
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com . We’re looking for a Senior/Staff User Researcher to build, execute, and scale a comprehensive research engine that directly informs our product strategy. In this highly cross-functional role, you will act as a "full-stack" researcher, taking ownership of the three critical pillars of our research motion: Research Operations, hands-on Mixed-Methods Research, and Early Discovery Strategy. You will roll up your sleeves to build our Research Ops infrastructure from scratch, managing participant recruitment, compliance, and tooling. Beyond operations, you will conduct rigorous qualitative and quantitative studies ranging from deep-dive focus groups to sentiment benchmarking. You will also act as a deeply embedded strategic partner to Design, Product, and Engineering leadership. You will be "in the room" from the jump, helping the business validate early concepts, shaping strategy proactively, and separating the "good ideas" from the "bad ideas" long before decisions are finalized. You will also act as a deeply embedded strategic partner to Product and Engineering leadership, helping the business validate early concepts and separate the "good ideas" from the "bad ideas." This is an ideal role for an exceptionally analytical, scrappy, and business-minded researcher who thrives in a high-growth environment. You must be just as comfortable pulling quantitative user engagement data as you are presenting macro-level Annual Recurring Revenue (ARR) opportunities to executive leadership. What You’ll Do End-to-End Research Ops: Build and scale the foundational infrastructure for our research practice. This includes managing participant sourcing, as well as evaluating and implementing modern research tools (including AI solutions and testing platforms). Mixed-Methods Research Execution: Design and conduct rigorous qualitative and quantitative research. Analyze user engagement by product area, run complex sentiment analyses, and execute surveys, focus groups, and targeted 1:1 user interviews. Strategic Discovery Research: Lead early-stage exploratory research to evaluate product concepts. Partner with leadership across Design, Product, and Eng to influence direction from the very beginning, ensuring research drives decisions rather than trying to wrangle alignment after the fact. Creative Artifact Generation & Business Alignment: Synthesize complex data into memorable, creative artifacts that extend beyond traditional written reports, such as infographics, highlight videos, and dynamic presentations. Connect user pain points and feature requests directly to ARR opportunities, ensuring research always drives business value. Cross-Functional Collaboration & Action: Proactively identify research needs based on quantitative engagement data. Draft proposals, conduct targeted outreach (e.g., Slack pings to heavy/non-users), and develop actionable recommendations and training strategies to drive product adoption. How Success Is Measured Strategic Impact: You are recognized as an early, influential partner in the product development lifecycle. Early discovery research directly and consistently informs the product roadmap, preventing wasted effort on low-value ideas. Analytical Rigor: Research outputs represent a healthy, undeniable mix of quantitative data (product usage, sentiment scores) and qualitative insights ("the why"). ResOps Scalability: Clear, repeatable, and compliant operational systems are established for finding users, processing
