Principal Product Manager (AI Products)

Join Komodo Health as a Principal Product Manager for AI Products. In this hands-on individual contributor role, you will define and build the next generation of Komodo's product suite. You will own the thesis for what customers touch, build first versions with AI tools, and propose the shape of the growing portfolio. You will also package for the field and set the pattern for how surface pods work. This role requires 10+ years of product experience, including at least one product you conceived and shipped that earns real revenue today.

- Definir la próxima generación de la suite de productos de Komodo y demostrarlo construyendo al menos dos nuevos productos a partir de esa tesis. - Establecer el patrón para cada superficie que sigue, liderando a través de su tesis y sus construcciones, y trabajando en estrecha colaboración con pequeños grupos de ingeniería. - Proponer y defender la forma del portafolio en crecimiento, decidiendo qué se convierte en las soluciones existentes a medida que la nueva generación se implementa.

- Zero to one at Principal scope. 10+ years in product, including at least one product you conceived and shipped that earns real revenue today. We will ask what existed before it, and what was retired to make room for it - Builds the first version. You will show us something you built, not something you managed, this is evaluated in the interview - Comfortable inside customer environments and contracting cycles, with the judgment to commit responsibly in real time - Excellent written communication. Your reasoning gets adopted because it is clear - AI native at product depth. You can reason at a low level about the AI products you intend to ship: context and grounding, evals and quality gates, agent behavior, and cost. Using chat tools to work faster is the baseline everywhere, so it earns nothing here - Healthcare or regulated data experience (claims, EHR, patient journeys, provider analytics), or a track record of getting fluent fast in a comparably complex data domain like supply chain, energy, or financial data. Time at a company through a platform transition. Experience retiring a product without losing its customers - Experience interacting with, managing, or building with AI agentic workflows