Technical Product Manager – Applied AI

About Accelerant

Accelerant (NYSE: ARX) is a risk exchange for specialty insurance. Our platform connects specialty underwriters — MGAs, captive managers, and retail brokers — with the risk capital providers who back them: insurers, reinsurers, and institutional investors. We use data, analytics, and AI to make that exchange smarter, faster, and more transparent for everyone in it. We transacted approximately $4.2B in premiums on the Accelerant Risk Exchange in 2025.

We're an 8-year-old company transforming a deeply under-digitized industry. The surface area for AI is enormous, and we're early. Learn more at accelerant.ai.

The Role

The Applied AI team is building an AI-powered operating system for how work gets done at Accelerant – across Actuarial, Finance, Legal, Ops, Risk & Compliance, Underwriting, and every function in between. It is also a feeder of ideas into what we productionize in our customer-facing platform. You'll own what gets built, weigh in on what gets bought, and what gets automated out entirely.

This role exists now because we're past the "prototyping" phase. We need someone who can turn the best ideas and prototypes into productionized, shipped software.

You’ll partner closely with Business teams to identify the biggest sources of manual grind, automate them using modern AI and workflow tools, and scale proven solutions across the enterprise.

This Is a High-Autonomy, High-Impact Role for Someone Who:

• 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.

What You’ll Do

Own the enterprise AI roadmap:

• Define a living backlog of applications to build, and workflows to automate, ranked by time saved and pain eliminated. You'll own it, defend it, and ship against it.

Build agents to automate grind

• 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.

Build the Accelerant Enterprise OS

• Own our central AI-powered hub for all internal custom tooling, data, and insights – integrating role-aware agents, dashboards, and workflow automation.

Prototype & iterate fast

• Use low/no-code and AI workflow automation tools (E.g., Claude Managed Agents, Replit) to build and ship MVPs rapidly.

Drive build-vs-buy rigor

• 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.

Drive actual adoption

• 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.

What You’ll Bring

• 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.