Insurance Product Manager

FurtherAI•San Francisco, CA

About The Position

Insurance Engineer is a new kind of role. It sits at the intersection of insurance domain expertise, technical implementation, and product thinking — and it doesn't really exist anywhere else yet. You're an insurance expert who builds. You can look at a messy workflow, break it into components an AI system can execute, define what "correct" looks like, and measure whether the system actually gets there. You know the Sub/Quote/Bind flow not because someone explained it to you — but because you've lived it. And now you're ready to apply that expertise to build the systems that automate it. You'll own the full lifecycle of AI extraction workflows on our platform: scoping, architecture, prototyping, evaluation, and iteration. You'll work alongside our Forward Deployed Engineers and customers to ship workflows that perform in production at some of the largest carriers, MGAs, and brokers in the world. If you've spent years in insurance operations and you're ready to build the systems that automate it — this is the job.

Requirements

4–8 years in insurance operations, technical implementation, solutions engineering, or technical product management — ideally with direct insurance industry exposure at a carrier, MGA, TPA, broker, or insurtech
Hands-on familiarity with core insurance workflows: Sub/Quote/Bind, underwriting, policy management, or claims
Tech-forward mindset — you're already using ChatGPT, Claude, and other AI tools in your personal and professional life, not waiting to be told to
Implementation-minded — you've worked directly with customers or end users in a technical capacity and know how to navigate the gap between what a customer asks for and what actually needs to be built
Ability to prototype or script workflows — Python, SQL, JSON/YAML configs, or similar; you move fast technically without waiting for an engineer
Comfort with evaluation concepts: defining ground truth, measuring precision/recall tradeoffs, and building eval sets that surface real quality issues

Responsibilities

Workflow design and build. You'll take complex insurance processes — submission intake, policy comparison, underwriting audits, claims workflows — and turn them into structured, testable AI workflows from scratch.
Ground truths and evals. You'll define what accurate, complete outputs look like for every workflow. You'll build evaluation sets, run continuous benchmarks, and surface quality gaps before customers do.
Customer implementations. You'll work directly with customers alongside FDEs to configure, test, and iterate workflows toward production — bringing insurance process expertise and technical judgment to every deployment.
The bridge between domains. You're the person in the room who understands both sides — able to translate between what an underwriter needs and what an engineering team builds.