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 highly technical AI Product Manager to lead the development of the core models that power EvenUp’s intelligence. This role focuses on our AI layer where you'll work on training, optimizing, and evaluating numerous models that extract truth from complex legal and medical data. You’ll be responsible for increasing accuracy across key entity extraction models, building new models, increasing input modalities, building data flywheels, and ensuring we keep up with the state of the art in foundation models and agentic orchestration. Level and title to be based on candidate's experience and skills This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.
What you'll do: Own the strategic roadmap and tactical execution for core models, focusing on domain-specific entity extraction and linking models in the legal and medical spaces. Dive deep into prompt engineering; build robust evaluation frameworks and gold-standard datasets to measure model performance and reasoning accuracy. Partner with ML engineers, data scientists, software engineers, and legal/medical subject matter experts to manage the end-to-end model lifecycle from data curation to post-production monitoring. Balance technical trade-offs between model size and reasoning quality to ensure our features are both intelligent and commercially viable. Research and experiment with emerging modeling techniques to maintain our competitive edge. What we look for: You love working on models; grinding on model accuracy is something you find fun. 5+ years of professional experience with a heavy emphasis on high-trajectory growth in AI modeling or data science products. Deep understanding of LLMs, evals, RAG, agentic orchestration, classical machine learning, and statistics. Proven track record of treating data quality as a first-class product and building pipelines designed specifically for model training. Demonstrated ability to translate complex model metrics into clear business impact for non-technical stakeholders. Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page ( evenuplaw.com/careers ) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, [email protected] or no‑[email protected] email addresses. 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 . If you receive communication from someone you believe is impersonating EvenUp, please report it to us at [email protected]. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.
