Vice President, Engineering

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 (NASDAQ: CCC) 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 of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! We are currently looking to hire a Vice President of Engineering who is an experienced engineering leader who owns outcomes, not just processes.

What You'll Own

• Set the technical vision, architecture direction, and org structure for EIQ engineering
• Partner tightly with Product to execute on the EIQ product roadmap across product lines
• Hire, develop, and retain engineering talent, from ICs to managers with a consistently high bar
• Build and maintain a reliable, high-quality continuous delivery infrastructure and culture
• Drive the medium- and long-term strategic roadmap for your org, in partnership with senior leadership
• Represent engineering in cross-functional and executive conversations, including with CCC leadership

What You Bring

• 10–15+ years of experience leading technical teams, with meaningful time at the VP level or equivalent
• Team scale: Experience managing sizable engineering organizations (~100+ people), including multiple layers of management
• Cross-functional depth: Hands-on experience building and leading teams that span SWE, ML/AI, and data, not just one discipline
• Hiring and talent development: A track record of recruiting senior ICs and engineering managers; you've built benches, not just filled seats
• Architecture fluency: Strong system design instincts; you can go deep when it matters and set direction when it doesn't
• Modern AI tooling: Fluency with LLMs and agentic development patterns, you work this way yourself and expect your team to as well
• Cloud infrastructure: Production experience on GCP or AWS
• Communication: Excellent written and verbal communication; you can translate technical complexity for any audience