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San Francisco, California, United States
Hybrid
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 technically sharp, operationally scrappy Mixed Methods User Researcher to be the engine that connects user research and feedback to product execution. Sitting close to our Product, Engineering, and Design (EPD) teams, you'll turn a rich and ever-growing repository of user data — product usage, feedback, interviews, sentiment — into clear themes, pain points, and recommendations that shape what we build.
This is a hands-on, full-stack analyst role: you'll run your own quantitative and qualitative research, and build the lightweight tools, automations, and research-ops infrastructure that make insights self-serve for everyone else. You'll be just as comfortable writing SQL and standing up an AI-powered feedback pipeline as you are running a user interview or presenting a recommendation to leadership. It's an ideal role for someone analytical and user-obsessed.
What You'll Do
Mine & synthesize user signal: Use SQL, BI tools, and AI/low-no-code tooling to analyze user engagement and feedback across product areas, surfacing key themes, pain points, and feature requests for the EPD org.
Run mixed-methods research: Design and execute lightweight research — surveys, 1:1 interviews, focus groups, sentiment analysis/benchmarking — pairing the quantitative "what" with the qualitative "why."
Build self-serve tooling & research ops: Implement AI and no-code tools that make feedback discoverable and insights self-serve, and stand up the scrappy operational backbone (participant sourcing, tooling, repeatable workflows) research needs to scale.
Connect insight to decisions: Translate findings into tight, well-reasoned recommendations that influence the roadmap early, separating good ideas from bad ones before significant engineering lift, and tie user pain points to adoption and revenue opportunities.
How Success Is Measured
AI-driven, self-serve feedback tools are adopted by the EPD team, cutting manual data-mining and speeding up identification of core product themes.
Research outputs show an undeniable mix of quantitative rigor (usage, sentiment scores) and qualitative depth.
Insights consistently inform the roadmap early and visibly shift team direction, rather than landing in a doc after decisions are made.
Recommendations connect cleanly to feature adoption and ARR growth.
What We're Looking For
Experience: 8-10+ years in a fast-paced SaaS / B2B / tech environment in an analytics, product analytics, or product research role.
Data fluency: Strong SQL and BI/product-analytics tools (e.g., Tableau, Looker, Metabase, Mixpanel, Amplitude); comfortable pulling, manipulating, and interpreting data independently.
AI tooling & automation: Proven ability to build and deploy low-code/no-code AI solutions to automate workflows and synthesize complex data.
Mixed-methods research: Real balance of quantitative and qualitative methods, and the judgment to know which to reach for and why.
Scrappy & resourceful: Willing to do the unglamorous work — direct Slack outreach to recruit users, building research ops from scratch — without waiting for a pre-existing machine.
User-centric & business-minded: You can draw a straight line from user behavior to product decisions and revenue, and you're passionate about getting the voice of the customer into execution.
Strong communicator: You produce clear, consumable artifacts (not just dense reports) that make stakeholders actually use your insights.
Nice to Have
Experience as a founding researcher or standing up a research/ResOps function from the ground up.
Professional background or experience in legal domains.
Benefits & Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:
Choice of medical, dental, and vision insurance plans for you and your family.
Additional insurance coverage options for life, accident, or critical illness.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
A home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
A local in-person meet-up program.
Hubs in San Francisco and Toronto.
(Please note the above benefits & perks are for full-time employees)
Notice to Candidates:
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.
Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
