Posted May 29, 2026
**About Us:**EvolutionIQ's mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are pioneers in vertical AI and driving business value from AI applications. As part of CCC Intelligent Solutions, a publicly traded technology company serving the P&C insurance industry, we combine EIQ's AI-native product development with CCC's 40 years of proprietary data and deep carrier relationships. Together, the combined organization serves the largest and most complex insurance carriers in the world, and we are building the next generation of AI-first products for the casualty insurance market. Our team is our #1 priority, and we have been named one ofInc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About the Role: We are hiring a Director of Product to own a major new product area in Casualty. You'll start with a small, fast team: yourself plus a small number of engineers, operating with real independence and building at a pace that reflects how we believe product development should work. While no two days are the same, on any given day you can expect to:
What You'll Achieve with Us
About You
You are a product leader 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 hold that framing from early exploration through a prototype compelling enough to pitch a real value proposition and ROI case to a senior claims executive. - 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: what you got wrong early, how your product thinking evolved, and what you learned about which domain workflows are essential versus which exist out of habit. 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. - You are technical enough to contribute directly to working software. On a small team, there is no room for someone who shapes the strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools, with enough depth to make real contributions and enough product sense to know when what you've built is good versus just functional. - You have shipped at least one product where AI was core to the value proposition, and you can have a grounded conversation about when AI is the right approach versus when something simpler works better. 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, pitched, and care about, because the customer signal says no, is rarer than it sounds. Especially at the Director level, where many PMs have spent years learning to advocate for their product rather than evaluate it. Key Competencies
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, what you learned from customers, and how the product evolved from your initial vision. - 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. Auto casualty has decades of process, regulation, and institutional practice, and the person we hire will need to learn it fast and well. - Technical contribution. You can prototype, build, and ship alongside engineers. You think of yourself as a product person, but you write code, work in AI coding environments, and make direct technical contributions to the products you own. - Commercial instinct. You are comfortable in front of enterprise buyers, can construct a compelling value proposition and ROI case, and understand how to work alongside sales and revenue teams to build the commercial footprint of a new product. - AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations. You make good judgment calls about what's technically feasible and what will actually deliver value. - 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. You do not confuse conviction with evidence. Experience:
5+ years of product management experience in enterprise software or high-production SaaS environment
At least one 0-to-1 product build, ideally in a startup or high-velocity environment
Deep experience in at least one complex, regulated vertical
Demonstrated experience building and shipping AI-driven products
Track record of working directly with enterprise customers and senior stakeholders to validate product direction
Comfort operating in ambiguity, with a bias toward action and learning over extensive upfront planning
Experience delivering results in a sales/GTM context, communicating effectively across stakeholders from end users to C-level executives
Work-life, Culture & Perks:
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