The Problem 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. Behind every AI system is a business that needs to actually run. Someone has to make all of it work—and make it work better every week. The Thesis Underwriters need answers. Carriers need data. Sales needs enablement. Customers need follow-ups. Right now, a lot of that runs on people keeping track of things in their heads. Someone has to learn the entire operation—not one slice of it—and turn tribal knowledge into systems that scale. The patterns you spot become the specs that engineering builds next. The people who learn this business inside out become the ones who run it. The Role One day you're following up with underwriters on a stalled quote. The next you're building a process to make sure no quote ever stalls again. The day after that you're on a call with a customer, then feeding what you learned into a product spec. No two weeks look the same. That's the point. You'll rotate across sales enablement, underwriting operations, customer service, and carrier relations—owning real work in each, not observing. The scope is wide because the company moves fast and the problems don't respect org charts. This role is a launching pad. People who thrive here go on to run functions, lead teams, or start companies—because they've seen every part of how a business actually works. 12 months here compresses years of learning into one. If you've been waiting for the opportunity that finally matches your ability—send your resume and tell us about a time you owned something messy and made it work.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed