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Harper
San Francisco, California, United States
Source: Harper careers · View original posting
From Harper's posting. “We” and “our” refer to the employer.
Operating Memory Lead
Harper is an AI-native commercial insurance company in San Francisco.
We're not bolting AI onto insurance — we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed — on-site, in person, long days, very high standards. Almost no one joins Harper for insurance
; they join to build the company that replaces how it works.
The bet — turning human judgment into compute — has a precondition: the judgment has to be written down. AI doesn't magically understand a company. It works only when the business is documented clearly enough for systems to retrieve the right context, recognize the workflow, handle the edge cases, and escalate when a human is actually needed.
Right now most of Harper's operating knowledge lives in people's heads: how a top rep prioritizes quotes, how service handles an edge case, which underwriter to chase, what a customer really means when they push back at bind, why a workflow changed yesterday. That works at small scale and breaks at ~1,000 new customers a month.
The next bottleneck here isn't engineering — it's knowledge.
Every process that lives only in someone's head is a future failure mode. Every undocumented edge case is rework. A workflow that isn't clear enough for a new hire isn't clear enough for an AI agent either.
You turn that messy operating reality into structured, AI-legible knowledge — and make sure Harper's knowledge compounds instead of disappearing.
Compensation
$90,000–$150,000 + performance bonuses & equity
San Francisco, in-office. Based in SF or willing to relocate.
Monday–Friday, in-office hours matching the rest of the company.
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