Product Manager

CrosbyNew York, NY
$200,000 - $260,000

About The Position

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.

Requirements

  • 5+ years of product management experience, with a track record building AI/ML-powered products at an early-to-mid stage.
  • You've worked on AI applications: written evals, reasoned about model behavior, picked tradeoffs between agentic architectures.
  • 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

Nice To Haves

  • Personal time spent in the AI sauce is a strong plus.

Responsibilities

  • 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.
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