Crosby Product Manager at Crosby owns core AI product end-to-end, focusing on redlining product for legal teams. Partners with lawyers and engineering to deliver higher-quality, faster legal work.
Responsibilities
As a Product Manager, you'll own one of our core AI products end to end — the systems our internal lawyers and external customers use every day to do their work. You'll partner closely with those users, our Applied AI engineering team, and design to ship a product that delivers higher-quality output, faster, every quarter.
Drive product direction. Own the vision, product and roadmap end to end for our redlining product. Take the product surface from 0 → 1, then scale it across all contract types to unlock full automation.
Own the eval system. Design and operate the evaluation infrastructure that tells us whether the redlining product is improving and why.
Partner deeply with lawyers. Spend significant time with our internal legal team and design partners to surface what good looks like, where the system breaks, and what's worth automating next.
Define and analyze metrics. Translate quality, automation, and customer outcomes into measurable signals that drive direction.
Champion velocity. Move quickly under ambiguity; ship, learn, iterate.
Qualification
ExperienceAI product depthStartup DNATechnical fluencyBias to actionOwnershipEqual OpportunityCrosby is an equal opportunity employerPersonal time spent in AIQuasi-domain-expert on legal contracts
Required
Experience. 5+ years of product management experience, with a track record building AI/ML-powered products at an early-to-mid stage.
AI product depth. You've worked on AI applications: written evals, reasoned about model behavior, picked tradeoffs between agentic architectures. Personal time spent in the AI sauce is a strong plus.
Detail-oriented and excited to go deep on a new domain. You'll spend significant time with lawyers and become a quasi-domain-expert on legal contracts and review workflows.
Startup DNA. You thrive in ambiguity, move with urgency, and have proven success in early-stage startup environments.
Technical fluency. You can engage with engineering on architecture, agent design, and eval infrastructure. You don't need to write code.
Bias to action. You ship and iterate; you don't over-plan.
Ownership. You take full responsibility for outcomes, not just deliverables.
Hands-on experience building AI/ML-powered products in production
Experience working with domain experts to shape an AI product (legal, medical, financial, scientific)
Background that includes seeing a product evolve from early stage to scale
Equal Opportunity
Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.