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Go-to-Market Growth Lead

We're on the frontier of building an AI-native professional services company. We're building the best AI commercial insurance distribution engine for scale.

The Problem

36 million businesses in America need insurance. It's not optional—regulations require it, contracts demand it, landlords won't lease without it. Yet the industry is broken.

77% of small businesses are underinsured. 40% have no coverage at all. Most don't even understand what their policies cover. They're running with risk because the distribution system failed them—too slow, too opaque, too confusing to navigate.

Over 90% of commercial insurance distribution is still human-led. The same manual process as 30 years ago—just with email instead of fax. Brokers playing phone tag with underwriters. Customers chasing quotes for weeks. Everyone hoping someone gets it right.

We're building the inverse: 90%+ AI-led, inching toward the higher 90s. Not by replacing humans, but by building machines around them—so every closer can run 10x the volume with better conversion.

The Thesis

Every industry with human-bounded distribution consolidates rapidly once someone makes it computational. Search had thousands of engines until Google made ranking computational. Ride-hailing was fragmented until Uber made dispatch computational.

When distribution becomes computational, Jevons Paradox kicks in: increased efficiency leads to increased consumption. Better search didn't mean less searching—it meant vastly more. Cheaper rides didn't mean fewer trips—it meant transportation for use cases that never existed.

Insurance will follow the same pattern. When getting the right coverage becomes fast and frictionless, the 77% of underinsured businesses will finally get properly protected. The market expands, not contracts.

We're building the engine that makes that happen. You'll run the floor that proves it works.

The Role

You're going to lead a high-volume sales floor. Think of it like running a market-making desk—your team takes in risk (leads, deals, customers) and services it. The better your systems, the more volume you can run, the more money everyone makes.

You own closing. You're the one on the phone getting deals done. But you're also working with your team across every function—FDE, intake, service, submission—to build the machine that feeds you better deals and handles everything around the close. You're not coordinating from above. You're in the pit, closing and building.

Your pod includes a forward-deployed engineer, intake, service, and submission. You're building products together—voice automation, AI workflows, submission tools. Every automation you ship means higher throughput, better conversion, and more comp for the team.

The goal is simple: hit higher and higher automation metrics. The more your pod automates, the more deals you can run, the more you all get paid.

What You'll Do

Run the floor. Lead a pod across the full funnel: intake → submission → service → close. Keep volume moving—speed matters, every hour a lead sits is conversion lost. Daily standups, call reviews, real-time problem solving.

Build products with your team. Work directly with your FDE to ship automation: voice AI, workflow tools, submission automation. Use your live closing experience to design product-led sequences—what you hear on calls becomes the next automation. When your pod finds a clear best practice, roll it out across the whole org. You see the gaps from inside the funnel, you spec the fix, you ship it same-day.

Hit automation metrics. Track and drive automation rates across intake, submission, underwriter comms, service. Goal: push toward 100% automation on repeatable tasks so humans focus on selling. Your pod's automation metrics directly impact team comp.

Own your verticals. Build expertise across your sectors—healthcare, med spas, security, manufacturing, whatever comes through. Know the carriers, the risks, the patterns. Become the person the market knows for those spaces. Develop playbooks your whole team runs.

Drive top-of-funnel GTM. Use sales feedback to optimize demand gen across channels. Review and build landing pages, think about keywords for search, identify conferences worth hitting. Find influencers, partnerships, creative channels that feed your pod's funnel. Close the loop: what's converting on the floor shapes what marketing does upstream.

Close deals. This is your primary function. Run high volume—the more your team automates around you, the more deals you can work. Set the standard for call quality and close rate.

You Might Be a Fit If…

You want to run something. A floor, a team, a P&L. You think in systems: volume × conversion × automation = revenue. You're not looking for a job—you're looking for a machine to build.

You can translate calls into products. You hear a customer objection, you see a product fix. You can work with engineers to build products, not just request features. Live conversations become automation specs by end of day.

You see sales and GTM as one system. You understand that what happens on the floor should shape what marketing does upstream. You close the loop. Feedback flows both directions.

You thrive in high-volume, high-intensity environments. Loud. Fast. Calls happening around you. Engineers shipping fixes in real-time. When someone closes a deal, everyone knows. When something breaks, you swarm it.

You want team upside. Not just individual commission. You win together, lose together. You bring energy that makes people want to come to work.

You can close. You've done high-volume sales. You know how to run calls, handle objections, and get deals done. You set the standard others follow.

Requirements

  • Proven track record in high-volume sales or sales leadership

  • Experience leading teams or pods across multiple functions

  • Ability to translate customer conversations into product and process improvements

  • Comfortable working with engineers to spec and ship automation

  • Strong understanding of funnel metrics: volume, conversion, speed-to-lead

  • Thrive in fast-paced, trading-floor-style environments

  • Based in San Francisco or willing to relocate

Nice to Have

  • Experience in insurance, fintech, or other regulated industries

  • Background in sales operations or revenue operations

  • Familiarity with AI/automation tools in sales contexts

  • Prior startup or high-growth company experience

  • Experience building playbooks that scale across teams

Compensation

OTE: $200,000 (base + team-based bonus)

Equity: Meaningful

Location: San Francisco, in-office. We build together.

Comp Philosophy: Team-based bonus, PE/IB style. The more your pod automates, the more volume you can run, the more everyone makes. Leaderboard by pod. You win together, lose together.

The Process

  1. Founder screen — Initial fit and alignment

  2. Lead screen — Skills and culture fit

  3. Super day — See how you operate in real time

To Apply

We're building a vertically integrated AI platform that connects go-to-market, sales operations, customer service, and retention under one architectural roof. That integration creates compounding through feedback loops—every interaction makes the system smarter. Thousands of businesses already trust us.

This is a trading floor. You're in the room with your team. Calls happening around you. Engineers shipping fixes in real-time. Intense. Loud. Collaborative. Not for everyone. But if you want to build something with a team that actually operates like a team—this is it.

$4K to $5M+ ARR in 13 months. 3,000+ customers across complex markets. Our AI handles 97% of underwriter communications. You're not joining a sales team. You're building a machine.

If you want to run a floor, close deals, build products with engineers, and work with people who show up with the same intensity every day—send your resume and tell us about the last system you built.

We're a championship-minded team. We push each other. We move fast. We care about craft. If that sounds like where you belong, let's talk.

Average salary estimate

$170000 / YEARLY (est.)
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$140000K
$200000K

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EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
January 19, 2026
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