AI Product Manager

About the RoleWe're looking for an exceptional, entrepreneurial technical product manager to own the roadmap, execution, discovery, and vision for Nova, and to help define what autonomous underwriting looks like for the whole industry.This is Nova's first product hire. The team is small, extremely high caliber, and growing. The engineers here have taken autonomous underwriting from an idea to real prices on real accounts, making the product calls themselves along the way. You'd be joining people who know this problem cold and who will expect you to get there fast.This role sits alongside leadership and at the intersection of three domain expertises: engineers who think in eval runs and retrieval quality, underwriters with decades of pricing judgment, and leadership setting the direction of the business. One day you're aligning with our CTO on the autonomy roadmap and pressure-testing the thesis with the leadership team; the next you're pairing with an engineer on a new extraction flow and putting a working version in front of an underwriter before the day ends. Each group holds part of the answer, the best ideas come out of the overlap, and you'll be the person who creates it. If you want to build a category-defining product with real executive air cover and no ceiling on your impact, this is the seat.The person who does well here is closer to a founder than to a traditional PM. This is an environment for people who need intellectual challenge, thrive in progress, and are motivated by the impact of their work.What You'll DoOwn the product end to end. Vision, discovery, prioritization, execution, and the UX and design decisions along the way. Prioritize ruthlessly, be as clear about what we're not building as what we are, and shape how we staff design and engineering against the roadmap. You're accountable for results rather than shipped features: adoption by our underwriters, how much of the work runs without a person, how accurate it is, and whether we can win a deal on a fully autonomous motion.Understand the user deeply. Sit with underwriters, read submissions yourself, and build the instinct for why one contractor's paperwork is far harder to handle than another's. Find the places where the system can make their work faster, more reliable, and more complete, and turn that into requirements and edge case coverage.Own the definition of correct. Our eval framework is effectively the product spec. You'll shape what gets measured, where materiality thresholds sit, which regressions block a release, and how field-level results roll up into claims we're willing to make publicly.Set the bar for what autonomous means at Shepherd. How our agents reason, when they act on their own, when they defer, and how they earn an underwriter's trust. Autonomy is only useful if the escalation path is trustworthy, so you'll own how uncertainty gets surfaced and what a person sees when the system hands something back.Ship fast with engineering. You'll write prompts, dig through eval data, and pull the failing runs to work out whether a problem is retrieval, model behavior, or how we've modeled the data, all before filing a ticket. Use AI coding agents to prototype, validate, and unblock, and write code yourself when that's the quickest path, without letting the quality bar slip.Who You AreHungry, with the track record to back it. 4+ years in product, and you've owned the direction of a hard technical product and can point to what came of it. We care about what you've built and how fast you move more than how many years you've been at it.Technical in practice. You can read a PR, contribute in an architecture discussion, write your own SQL, and reason about why a model behaves the way it does. You've built things, at work or on your own.You've shipped AI into production. You know the difference between a demo and a system people rely on, and you have informed opinions about evals and model quality.Statistically literate. You're comfortable reasoning about distributions and thresholds, and you interrogate a metric before you trust it.Willing to go deep on the domain. Understanding construction risk well enough to encode it is most of the advantage here. If learning an unfamiliar industry in detail sounds tedious rather than interesting, this won't be a good fit.A direct communicator. You write clearly, you disagree in the room, and you don't need a deck to make a decision.Opinionated, high agency, experimental. You form a point of view and argue for it. You don't wait to be handed work. Your instinct when something is unclear is to run the experiment rather than debate it. There's no playbook and no product org to lean on here, so you'll define how product works and change it as the team grows.Nice to HaveBackground in autonomy, robotics, or another field where escalation and graduated trust are core conceptsDocument AI, information extraction, or agentic workflow experienceTime in insurance, fintech, or another regulated industryFounder or early-employee experienceHands-on with eval tooling and experiment tracking