Director of Product, AI Decision Platform

CCC Intelligent Solutions•Chicago, IL

About The Position

CCC Intelligent Solutions is hiring the first product lead for an AI-native decision platform for bodily injury claims. The Director of Product will co-own the product in direct partnership with the VP of Product & Engineering, defining what gets built, why it matters, and when it ships, while partnering with engineering on project scope and execution. The role will shape the platform’s core architecture, how carriers configure decision handling, standards for correctness, and the boundary between software and human judgment. The Director will own product strategy, roadmap, and commercial success from inception through market validation, and build AI-first products that guide and augment human decision-making in auto casualty claims. The work includes collaborating with senior insurance carrier executives and front-line operators, translating complex workflows and regulatory and clinical constraints into engineering requirements, and creating decision frameworks that balance AI, deterministic logic, and human oversight. The role will also establish evaluation and monitoring systems for accuracy, explainability, and auditability; prototype and validate concepts with stakeholders; and partner with customer success, sales, and product marketing on go-to-market strategy. As the platform grows, the Director will hire, mentor, and lead product managers and establish product management standards. This is a hands-on, player-coach role requiring technical contribution, including prototyping agent workflows and writing evaluation code. Success means that carriers use the platform to make real-world decisions with measurable correctness, specifications and evaluations help engineering move faster, and a productive product team is built and onboarded.

Requirements

8+ years of product management experience in enterprise software, including significant ownership of a platform or core system used by many enterprise customers.
Shipped at least one AI-driven product in production, including its evaluation and monitoring systems.
Deep experience in at least one complex, regulated vertical.
Hands-on prototyping and technical contribution using AI coding tools.
Track record of working directly with enterprise customers and senior stakeholders to shape product direction.
Experience hiring, mentoring, or leading product managers.
Ability to design configurable platforms for enterprise customers with varied needs and changing regulations.
Ability to define correctness, create evaluation sets with domain experts, select appropriate evaluation methods, and report accuracy honestly.
Ability to design for explainability, auditability, source traceability, graceful failure, and human-in-the-loop controls.
Ability to communicate credibly with senior executives and operational users in regulated industries.

Nice To Haves

Experience in insurance claims or medical billing.

Responsibilities

Own the strategy, roadmap, and commercial success of a key product area from inception through market validation.
Build and ship AI-first products that guide and augment human decision-making in auto casualty claims.
Work directly with senior executives at major insurance carriers to uncover problems, test product visions, and drive business outcomes.
Architect decision-making frameworks that balance AI capabilities, automated logic, and human oversight.
Translate complex client workflows, regulatory guidelines, and clinical constraints into precise, scalable engineering requirements.
Establish evaluation standards and monitoring systems for accuracy, explainability, and auditability of system outputs.
Prototype and validate concepts with industry stakeholders, gathering feedback and refining strategy before engineering handoff.
Hire, mentor, and lead a growing product team, establishing product management operating standards.
Partner with customer success, sales, and product marketing to develop go-to-market strategy.
Contribute hands-on by prototyping agent workflows, writing evaluation code, and making direct contributions to the product.