Insurance Product Manager

FurtherAI•San Francisco, CA

About The Position

Insurance is a $7 trillion industry that still runs on PDFs, emails, and manual review. At FurtherAI, we're building the AI workspace that changes that — automating the complex, document-heavy workflows that underwriters, claims teams, and brokers deal with every day so insurance professionals can focus on the work that actually matters. We've raised $30M total, including a $25M Series A led by a16z (one of the largest Series A rounds in insurance AI history), with participation from Y Combinator, Nexus Venture Partners, and others. We've grown 10x in revenue this year, and our customers include some of the largest carriers, MGAs, and brokers in the world — including a top-5 global insurance company. Our forward-deployed engineering model means we work side-by-side with customers to stand up real workflows that deliver measurable results fast. About the Role 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

An insurance operator who thinks like a builder.
You've spent meaningful time inside the insurance market — at a carrier, MGA, TPA, broker, or insurtech. You know the Sub/Quote/Bind flow. You understand where the friction lives and why it matters. That domain expertise is your edge — and you're ready to use it to build.
Comfortable working technically alongside engineers.
You don't need to be a software engineer, but you can write Python, SQL, or equivalent to test logic and validate workflow outputs. You move fast without waiting for someone else to prototype an idea.
A structured thinker.
You can take a messy insurance process and break it into clean, testable components. You know how to define what "correct" looks like — and build evaluations that surface real quality issues, not just happy path tests.
Implementation-minded and customer-facing.
You've worked directly with customers in a technical capacity — solutions engineering, professional services, or implementation — and you know how to navigate the gap between what a customer asks for and what actually needs to be built.
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.