StaffEngineer,HarnessEngineering

STAFF ENGINEER, HARNESS ENGINEERING Harper is an AI-native commercial insurance company, based in San Francisco and built from scratch. Most knowledge work is judgment locked inside people's heads — the exceptions, the precedents, the decision traces no one ever wrote down. Converting that judgment into software is one of the largest human-to-computational transitions still in front of us, and we think the most honest place to prove it is the hardest one: commercial insurance, a trillion-dollar industry that is still, even now, more than 90% done by hand. We're not patching legacy workflows or adding a copilot to them. We're rebuilding the business so that AI does the work and people do the judgment that AI can't yet — and then teaching it that, too. It's working: ~1,000 new customers a month and roughly 100x growth in the past year. That pace sets the culture. We're on-site in San Francisco, in the building together, working long days to high standards — because a rebuild this large doesn't happen part-time or by committee. Almost no one joins Harper because they're passionate about insurance. They join because they want to be on the frontier of the AI transition, doing the most consequential work of their career, in a company being built to define a category rather than join one. If that's the work you're looking for, insurance is just where you get to do it. THE ROLE The companies that win with agents don't win because they found one magic model. They win because they build the harness that turns models into reliable workers: the loop, the tools, the memory, the execution environment, the budget, the fallback path, the guardrails. The model is replaceable. The harness is the company-specific leverage — and at Harper it's the substrate beneath everything, because we run agents on two surfaces at once: product agents that operate the business (intake, sales, service, voice) and coding agents that operate the codebase (frontier coding agents, OpenClaw, our internal