You make one call, we make the rest. Harper learns your business, works every market that can write it, and brings back the right coverage at the right price. Backed by Peak XV, Y Combinator and Antler.
About the role
You're a full-stack engineer with applied-AI fluency. Frontend, backend, agents, evals—you move across the stack because the problems don't respect stack boundaries. You optimize for user and business impact, not code elegance. You treat AI tooling as a core part of the workflow, not a novelty. You work directly with founders. No committee. No approval chain. You build it, you ship it, you own the outcome. Prototype Monday, ship Tuesday, measure Wednesday. If it works, push to production.
What they're looking for
- You get energy from user and business impact, not code elegance
- You write code with AI (Cursor, Claude Code, Windsurf) and can manage multiple coding sessions
- You're full-stack by instinct—frontend, backend, and the AI layer that makes decisions
- You've shipped AI to production—real systems serving real users, not demos
- You ship fast and iterate—meaningful features in days that others take months on
- You can present to non-technical people and explain why a metric moved
More about this role
36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing.
Over 90% of commercial insurance is still human-led. We're building the inverse: 90%+ AI-led, pushing toward the higher 90s. Not by patching legacy workflows—by building AI that makes humans more effective, improves the customer experience, and eliminates friction at every step.
We're adding ~1,000 customers per month. We've grown 100x since last year. We're looking to do even more this year—and that's why we're hiring.
You'll ship AI-powered product features end-to-end. Real systems, real users, real revenue—the same week you write the code.
Turning judgment into compute isn't a one-time project. It's a constant hunt for leverage. New models drop monthly. What was impossible in January is table stakes by June. Someone needs to be on the frontier—figuring out what's newly possible and applying it before anyone else does.
The best product engineers here don't just write features. They embed with the operators who live inside the systems—sales, service, underwriting—find where things break, and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area