Director of Product, AI Decision Platform

CCC Intelligent Solutions

Chicago Heights (IL)

On-site

USD 157,000 - 240,000

Full time

8 days ago

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Benefits offered by this job

Long-term incentive
Bonus/commission eligibility

Job summary

CCC Intelligent Solutions is seeking a Director of Product to design an AI-native platform for bodily injury claims. You will co-own the product with the VP of Product & Engineering, defining what gets built, why it matters, and when it ships, while leading a growing team.

You will partner with major insurance carriers, translate regulations into engineering requirements, and drive measurable business outcomes. This is a strategic, design-led leadership role.

Qualifications

  • Designed a platform, not just a product.
  • Shipped AI into production with measurable accuracy.
  • Transformed complex client workflows into scalable engineering requirements.

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 complex decision-making frameworks balancing AI, automated logic, and human oversight.
  • Translate deep domain expertise and regulatory guidelines into precise engineering requirements.
  • Establish rigorous evaluation standards and monitoring systems for accuracy and explainability.
  • Prototype and validate concepts with stakeholders before engineering handoff.
  • Hire, mentor, and lead a growing product team as the organization scales.
  • Partner with customer success, sales, and product marketing to develop go-to-market strategy.

Skills

AI-first product design
Product strategy & roadmap
Leadership & cross-functional
Enterprise customer experience

Tools

Cursor
Claude Code

Job description

Salary range is: $157,417.86 - $240,000.00 This position is long-term incentive and bonus and/or commission eligible.

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we're making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We're pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.

The Role

We are building an AI-native decision platform for bodily injury claims, and we are hiring the Director of Product who will design it.

Every bodily injury claim contains hundreds of decisions. Some are exact calculations with one right answer. Some require interpreting medical evidence. Some are judgment calls a carrier reserves for its own people. For most P&C carriers, the guideposts for those decisions are spread across rules engines, manual review, and institutional memory; we are building one platform that facilitates each decision with the right method, explains it, and measures whether it was correct.

As the platform's first product lead, you will co-own the product in direct partnership with the VP of Product & Engineering. You will define what gets built, why it matters, and when it ships, while your counterpart manages the engineering team and technical execution. Together, you will scope projects and collaborate daily with engineers, eventually hiring and leading a growing team of product managers as the platform scales.

This is a design role in the fullest sense. The core architecture, the way carriers express how they want decisions handled, the standard for correctness, and the boundary between software and human judgment are all open, and all yours to shape.

Key Responsibilities
What You'll Do
  • 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 complex decision-making frameworks that effectively balance AI capabilities, automated logic, and human oversight.
  • Translate deep domain expertise including complex client workflows, regulatory guidelines, and clinical constraints, into precise, scalable engineering requirements.
  • Establish rigorous evaluation standards and monitoring systems to ensure accuracy, explainability, and auditability across all system outputs.
  • Rapidly prototype and validate concepts directly with key industry stakeholders to gather feedback and refine strategy prior to engineering handoff.
  • Hire, mentor, and lead a growing product team, setting the foundational operating standards for product management in your area as the organization scales.
  • Partner with customer success, sales, and product marketing to develop go-to-market strategy.
What Success Looks Like

The platform will successfully drive real-world decisions for carriers, supported by measurable correctness metrics tracked across decision types and jurisdictions. Your precise specifications and rigorous evaluations will accelerate engineering velocity by eliminating ambiguity early in the development cycle. Additionally, you will have scaled the product organization by hiring and fully onboarding a productive team.

About You

You have designed a platform, not just a product. You have owned something that many enterprise customers configure differently, where the hard part was the long tail: dozens of customer variations, changing regulations, and no clean abstraction handed to you. You found the abstraction, and you can walk us through the decisions you made to get there and the ones you got wrong.

You have shipped AI into production where accuracy mattered. You know the difference between a demo that looks right and a system you can trust, and you have personally built the machinery that tells them apart: you have read hundreds of model outputs, grouped the failures, written evaluators for the errors you actually saw, and checked those evaluators against expert judgment. You treat AI as one method among several. When a calculation has one right answer, you want deterministic code, and you can explain why.

You build. When you say you built something, you mean you wrote the prompts, wired the workflow, ran the evaluation, and sat with the customer, not that you wrote the spec and someone else did the rest. You work in Cursor, Claude Code, or similar tools daily, you can read

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