Agentic Product Manager

CCC Intelligent Solutions•Chicago, IL

About The Position

CCC Intelligent Solutions is hiring a Product Manager to own development of its Agentic product platform, a new product line delivering AI agents across CCC’s portfolio, initially focused on improving the claims experience. The role is suited to a hands-on product manager who enjoys zero-to-one product development, complex enterprise workflows, and regulated environments. The successful candidate will build the product from discovery through launch, working with engineering, design, go-to-market teams, and customers to determine how agentic AI can operate safely and effectively in high-stakes claims processes. The Product Manager will own product strategy, roadmap, and business case; define agent capabilities and human oversight; establish quality and safety measures; validate problems and concepts with customers; and shape the product’s market story. They will partner with engineering and design to prototype, build, test, and ship agentic experiences, and define success measures and decision criteria for product investments. The ideal candidate has shipped AI-driven products, can distinguish when agentic systems are appropriate from deterministic workflows, and understands how to design for reliability, autonomy, and human oversight. They are comfortable with ambiguity, technically fluent, commercially minded, and effective at building momentum across cross-functional teams. CCC describes its culture as grounded in integrity, customer focus, innovation, inclusion and diversity, tenacity, and connection. A video interview is required. Interviews are transcribed and retained for review by CCC and its recruiters. Candidates may not use generative AI or automated assistance during interviews unless the interview team explicitly allows it for a specific exercise.

Requirements

At least 3 years of product management experience in enterprise software or a high-growth SaaS environment.
Experience owning a product or significant product area from discovery through launch and iteration.
Experience working in or learning a complex, regulated industry.
Demonstrated experience building and shipping AI-driven products.
Track record of working directly with enterprise customers and senior stakeholders to validate product direction and communicate value.
Ability to translate customer needs into product requirements, priorities, measurable outcomes, and clear decisions.
Comfort operating in ambiguity, with a bias toward action, learning, and accountable ownership.
Ability to work closely with engineers, use AI coding or prototyping tools, understand technical tradeoffs, and assess product experience quality.
Ability to explain when an agentic approach is appropriate versus a deterministic workflow and how to design for reliability, autonomy, and human oversight.
Clear communication and ability to build trust and align cross-functional partners.

Nice To Haves

Experience with LLM-based or agentic systems.
Experience in fintech, healthtech, legaltech, HCM, insurtech, or a similar industry.
Experience in an environment where speed, curiosity, and resourcefulness were important.
Commercial instinct and comfort participating in customer pitches, creating a value story, identifying buying signals, and translating market feedback into product priorities.

Responsibilities

Own the product strategy, roadmap, and business case for agentic capabilities from concept through customer validation, launch, and iteration.
Define the agents’ functions, including which claims workflows they manage, where people remain involved, and how autonomy expands as performance and trust are demonstrated.
Set product requirements for quality and safety, including evaluations, guardrails, escalation paths, and auditability, in partnership with engineering, legal, compliance, and claims experts.
Work directly with claims leaders and end users to identify high-value problems, validate product concepts, and translate customer insight into product decisions.
Own the product story, value proposition, and proof points, partnering with sales, customer success, and product marketing to bring the product to market.
Partner with engineering and design to prototype, build, test, and ship agentic experiences, using AI tools to accelerate learning and delivery.
Define success measures, adoption hypotheses, and decision criteria for each product investment, and recommend when to iterate, scale, or stop.