Technical Product Manager – Applied AI

Accelerant is a risk exchange for specialty insurance that utilizes data, analytics, and AI to enhance the efficiency of the insurance industry. The Technical Product Manager for Applied AI will be responsible for owning the enterprise AI roadmap, building AI-driven agents, and driving the adoption of automated solutions across various functions within the company.

Responsibilities:

• Define a living backlog of applications to build, and workflows to automate, ranked by time saved and pain eliminated
• Partner with function heads and AI engineers to design, test, and deploy AI-driven agents and workflow automations that eliminate manual effort and capture quantifiable savings
• Own our central AI-powered hub for all internal custom tooling, data, and insights – integrating role-aware agents, dashboards, and workflow automation
• Use low/no-code and AI workflow automation tools (E.g., Claude Managed Agents, Replit) to build and ship MVPs rapidly
• When internal builds aren’t the right choice (i.e., due to feasibility, speed to market, costs), lead vendor evaluations, negotiate modular solutions, and ensure clean integration with our data and AI platforms
• Shipping a tool is the easy part (as we are finding out). Getting people to change how they work is hard. You'll lead the education, documentation, and change management that makes adoption happen

Requirements:

• Prior experience delivering AI/ML-enabled products in production environments
• Strong understanding of how modern AI systems work (e.g., RAG, orchestration, agents) and ability to translate technical concepts for non-technical audiences
• Proven ability to lead cross-functional technical programs from concept to production
• Proven ability to prototype and launch tools independently using modern low/no-code and AI platforms
• Demonstrated bias for action and ability to operate autonomously in ambiguous, fast-changing environments
• Strong communication skills and ability to drive consensus among business and engineering leaders
• Sees an inefficient process and cannot leave it alone
• Has shipped AI-enabled products into production
• Has been building with LLMs, agents, and workflow tools long enough to have strong opinions about what's real and what's hype
• Vibe codes prototypes and immediately thinks about what it takes to productionize and put it into production
• Tries every new AI tool the week it drops, and you've got the browser history to prove it
• Loves storytelling and can walk a skeptical finance leader through how an agent is going to change their workflow – and get them genuinely excited about it