About the role
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.
To grow that fast, we need to understand—with precision—what’s working, what’s not, and why.
The Thesis
The line between “analytics” and “product” barely exists here. Your models will directly power how our agents prioritize leads, time outreach, and personalize conversations. You’ll build the intelligence that tells us how well it’s working—and ship code that directly moves revenue.
The Role
You’ll own the metrics, analytics, and experimentation infrastructure that powers growth. This isn’t “build dashboards and wait for questions.” You’ll define the KPIs that matter, instrument systems to track them, and ship code that directly moves revenue.
You work across paid acquisition channels—Google Ads, Meta, TikTok—combining it with product analytics and using AI to surface insights that would take others weeks to find.
What You’ll Do
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Build metrics and KPI infrastructure — Define, instrument, and own the metrics that matter in real time
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Own LTV/CAC systems — Track unit economics across verticals, channels, and cohorts
