Senior/Lead Product Manager

Join our team as a Senior/Lead Product Manager and help shape the future of AI-first products in the Property & Casualty (P&C) insurance industry. You will work across multiple product lines, driving the roadmap and execution for AI-first products, building and shipping innovative solutions, and collaborating with major insurance carriers. This is an exciting opportunity to make a significant impact in a complex and rapidly evolving industry.

• Conduire la feuille de route et l'exécution des produits axés sur l'IA, en construisant et en expédiant des produits qui guident et augmentent la prise de décision humaine dans les réclamations P&C.
• Travailler directement avec les parties prenantes des grandes compagnies d'assurance pour découvrir des problèmes, tester des concepts de produits et conduire des résultats commerciaux.
• Définir des propositions de valeur claires, des hypothèses d'adoption et des critères d'arrêt pour votre travail, et avoir la discipline de se retirer des travaux qui ne fonctionnent pas.
• You have been a product leader on at least one product where AI was core to the value proposition, and you use AI tools daily in your actual work, not as a novelty, but as part of how you operate
• You have real discipline around killing work that isn't working. The intellectual honesty required to walk away from something you've built and care about, because the customer signal says no, is rarer than it sounds
• You are comfortable working across multiple products and teams. You'll be operating across both EIQ and CCC product lines, and you're energized by that breadth rather than needing a single, fixed lane
• You are a seasoned Product professional who has built something from nothing at least once, ideally at a company where velocity and scrappiness were the norm. You think about products in terms of the economic and workflow problems they solve for a specific buyer, and you can carry that framing from early exploration through a compelling prototype
• You are technical enough to contribute directly to working software. On a small team, there is no room for someone who shapes strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools
• You have gone deep in at least one complex, regulated vertical (fintech, healthtech, legaltech, HCM, or similar) and can speak specifically about how you built that understanding. We care less about which vertical and more about evidence that you know how to learn a complex domain quickly and turn that knowledge into good product decisions
• 0-to-1 product building. You have taken a product from concept through market validation and can point to specific decisions you made along the way
• Commercial instinct. You are comfortable in front of enterprise buyers, can construct a compelling value proposition and ROI case, and work well alongside sales and revenue teams
• Experimentation discipline. You define hypotheses, set kill criteria, test ideas with real customers, and make clear-eyed decisions about what to continue and what to stop
• Technical contribution. You can prototype, build, and ship alongside engineers, working in AI coding environments and making direct technical contributions to the products you own
• AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations
• Domain learning velocity. You can go deep in a new industry quickly, distinguish essential complexity from accumulated habit, and turn domain knowledge into product insight
• Deep experience in at least one complex, regulated vertical
• Comfort operating in ambiguity, with a bias toward action and learning over extensive upfront planning
• At least one 0-to-1 product build, ideally in a startup or high-velocity environment
• Track record of working directly with enterprise customers and senior stakeholders to validate product direction
• Experience delivering results in a sales/GTM context, communicating effectively across stakeholders from end users to C-level executives
• 4+ years of product management experience in enterprise software or high-production SaaS environment (Senior or Lead will be determined based on experience)
• Demonstrated experience building and shipping AI-driven products