Director of Product, AI Decision Platform

CCC Intelligent Solutions

. Own the strategy, roadmap, and commercial success of a key product area from inception through market validation .

Posted 11/5/2026full-timeUnited StatesLead💰 $157,418 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for AI-driven solutions, with a focus on enterprise software and regulated industries. Proven ability to lead teams, define product strategy, and ensure accuracy and explainability in complex decision-making frameworks.

Highest-signal resume keywords

Product Management ExperienceAI-Driven Product DevelopmentEnterprise Software PlatformsRegulated Industry ExpertiseTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Coding ToolsPrototypingTechnical ContributionEvaluation and MonitoringSystem DesignProduct StrategyScalable Engineering RequirementsDecision-Making FrameworksCorrectness StandardsHuman-in-the-Loop Controls

Soft Skills

CollaborationStakeholder EngagementMentoringProblem-SolvingCommunication

Tools & Technologies

CursorClaude CodeAI-Driven SystemsMonitoring SystemsEvaluation Standards

Industry Keywords

InsuranceHealth PayerPayments IntegrityRevenue CycleFintechLegalInsurance ClaimsMedical Billing

About the role

Key responsibilities & impact

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 balancing AI capabilities, automated logic, and human oversight
Translate 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 before engineering handoff
Hire, mentor, and lead a growing product team
Partner with customer success, sales, and product marketing on go-to-market strategy
Co-own the product with the VP of Product & Engineering and collaborate daily with engineers
Define what gets built, why it matters, and when it ships
Scope projects and eventually hire and lead product managers as the platform scales
Shape the platform architecture, carrier configuration model, correctness standards, and boundary between software and human judgment
Scale the product organization by hiring and onboarding a productive team

Requirements

What you’ll need

8+ years of product management experience in enterprise software, with significant time owning a platform or core system used by many enterprise customers
Shipped at least one AI-driven product in production, including the evaluation and monitoring behind it
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
Experience designing platforms used by many enterprise customers with customer-specific variations, changing regulations, and complex workflows
Production AI experience where accuracy matters, including reading model outputs, grouping failures, writing evaluators, and validating them against expert judgment
Ability to use Cursor, Claude Code, or similar tools daily; read system design documents and codebases
Experience in a complex, regulated domain such as health payer, payments integrity, revenue cycle, fintech, legal, or insurance
Experience in insurance claims or medical billing is advantageous but not required
Ability to work as a player-coach and establish product management standards
Ability to define correctness, create gold sets with domain experts, select code checks, model-based judges, and human review
Ability to design for explainability, auditability, source traceability, graceful failure, and human-in-the-loop controls
Ability to work credibly with senior executives and daily operators in regulated industries
A video interview is required; candidates may not use generative AI or automated assistance during interviews unless explicitly allowed

Benefits

Comp & perks

401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups