
Harper
GTM: New Verticals Lead
San Francisco · Exec
Sponsorship not specified$125k-$170kDetected 47 days ago
LogisticsUnderwriting
About the role
- Harper has shown it can take a small-business owner and turn them into a covered customer - at scale, with AI doing a ton of the work behind the human who closes.
- This role takes it into territory we haven't entered yet.
- A "vertical" is a new kind of business for Harper to insure.
Responsibilities
- Stand it up end to end. Turn a cold idea into a working business - the workflow, the tools, the way a customer goes from interested to covered. You design the motion
- the team builds it with you.
- Drive intake quality and L&D. A clean handoff is where a new vertical succeeds or stalls. Find where things break, fix the patterns, and bring the people working in your vertical up to speed.
- You've helped take something from an early idea to real traction - a product, a market, a feature, a business line - and you want a bigger swing of your own next.
- You're a builder, not a scaler. You create structure where there's none, and you'd be bored inheriting a motion someone else already proved.
- Stand it up end to end. Turn a cold idea into a working business - the workflow, the tools, the way a customer goes from interested to covered. You design the motion; the team builds it with you.
- GTM: NEW VERTICALS LEAD
- Almost no one joins Harper for insurance; they join to build the company that replaces how it works.
- Lead screen - fit and alignment
Requirements
- You can get people who don't report to you pulling in the same direction.
Nice to have
- Experience launching a new market, product, or vertical at a scaled startup or unicorn
- Founder or early-operator background - you've built something from nothing
- Comfort partnering closely with product, engineering, and operating teams
- Marketplace, fintech, or other operationally complex / regulated-industry experience
- occasional travel as new markets require
- Licensing: Open to obtaining a commercial insurance producer license if the work calls for it (Harper pays for training and the exam)
- Tell us about something you took from zero to real scale, too - and the one thing you'd have done sooner.
Compensation
- $125,000-$170,000, plus variable and equity
Benefits
- Uber commuter benefits
- Free gym membership
- Health, dental, and vision insurance
- Equity: Yes - meaningful, reflecting the early, high-ownership scope of the seat
Company info
- reading where the world is heading, finding where demand is forming before it's obvious, pressure-testing whether Harper can serve a new market well, and turning a faint signal into a real, repeatable business.
- The path is messy on purpose - there's no map for a market no one has built yet, and a lot of the job is making good decisions with incomplete information.
- Winning looks like taking something from its first five customers all the way to thousands, then handing it off and going to find the next frontier.
- You're curious about the world and quick to form a view on where things are heading.
- You move fast when the picture is incomplete and make the call instead of waiting for certainty.
- You learn new domains fast. You don't need insurance experience - you do need to get up to speed on a new market quickly.
- You treat AI as real leverage and expect to do the work of a much larger team.
- High-agency operators looking for their first real ownership - and ex-founders early in their journey - tend to thrive here.
- The world keeps creating new ones - a trend shows up in the news, a new kind of company starts scaling, an industry shifts or appears that didn't exist a few years ago - and someone has to decide whether and how Harper should cover it.
- Prove it with real customers. Get the first handful of customers covered and learn what truly works - sometimes by getting on the phone yourself. The goal is a motion tested on real deals, not a plan on a slide.
- 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.
This listing is sourced directly from Harper's careers page and normalized into a canonical job model.