Product Manager, AI Entities

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 Product Manager to join our AI Platform group and own the systems that turn messy, unstructured case materials into accurate, structured “source of truth” data. This isn’t your typical PM role: it’s highly technical, backend-heavy, and focused on scalable AI extraction and data infrastructure. You’ll work closely with senior ML and backend engineers to build the models, evals, pipelines, tooling, and APIs that power all of EvenUp’s products. You’ll be responsible for a mission-critical part of our AI strategy: making sure the entities we generate are accurate, consistent, and trustworthy enough for law firms to rely on. If you’ve built ML/LLM-powered data pipelines, love the challenge of turning unstructured input into structured, reliable output, and want broad impact across a fast-growing product org, this role is for you. This is a hybrid role with the expectation of working at least 3 days a week from our San Francisco or Toronto offices. Title and compensation to be determined based on candidate experience. What you’ll do: Own the roadmap for a key part of our AI Platform, potentially including RAG services, text and image extraction and analysis services, model evaluation and deployment tools, and more. Partner with ML and backend engineers to build scalable, reliable, and cost-effective systems that support product teams across the company. Define success metrics, analyze performance and cost data , and use insights to inform priorities. Work closely with other product managers teams to understand end-user needs and develop reusable platform capabilities that accelerate AI development. Drive strategic decisions around model performance, vendor selection, and infrastructure scaling in a fast-evolving ecosystem. Define success metrics for entity quality and pipeline performance. Partner with other product managers and downstream teams to understand where entity quality or coverage gaps are limiting product experiences, and translate that into a prioritized platform roadmap. Drive decisions on model per…