Founding GTM Engineer

Hearth; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Hearth is the AI growth system for local home-improvement contractors. You’ll be the first GTM engineering hire, building the engines that generate revenue, from routing and scoring to AI-driven outreach.

You identify the levers, ship fast, and prove impact with concrete numbers rather than vague improvements. You’ll co-own key success metrics with the Director and VP peers in Sales and Marketing, and you’ll rebuild the baseline to define what an AI-native go-to-market looks like.

Responsibilities

• Move the numbers and build what moves them (routing changes, scoring layers, or AI agents).
• Scale inbound conversion and expand outbound, marketing automation, and measurement models.
• Co-own revenue and headcount metrics with Sales and Marketing leaders; rebuild the baseline GTM.

Job description

Hearth is the AI growth system for local home improvement small businesses. We build revenue-critical software for home improvement contractors — the roofers, HVAC techs, and builders who keep America running.

Our platform helps real business owners win more jobs, protect profit margins, and manage homeowner relationships professionally so they can build generational companies for their families and communities.

We are now building the next layer: a personal AI employee for every small business in the trades focused on autonomously generating sales for America’s home improvement pros. An assistant who answers every call 24/7, qualifies leads, books appointments, follows up on quotes and estimates, and helps small business owners go from missing half of their business to capturing all of it.

With 15,000+ paying customers, default profitability, and backing from some of the world’s best investors (Founder’s Fund, 8VC, Human Capital, etc.), Hearth is focused on bringing AI to the trades.

The Opportunity

You build the systems that run Hearth's go-to-market: the whole engine, one motion at a time. You're a business builder, not an engineer who needs a brief. You find the lever that moves the number and ship the system that pulls it, fast: a sales lead flags a broken handoff on Monday, the fix is live on the floor by Wednesday.

Hearth is the AI growth system for local home-improvement contractors. Over 50% of these businesses go under without software like Hearth, and when you ship a system that works, a roofer stops losing 40% of his inbound calls and gets home for dinner. The loop between your work and someone's livelihood is short.

You're the first hire on our GTM engineering function, and the timing is the point: we're launching new products, and each one needs its own go-to-market built around it: the routing, the outreach, the tooling, the measurement. You co-own clear success metrics, like revenue and headcount, with the Director and VP peers in Sales and Marketing: they run the floors, you build the systems that move the numbers, and the metrics are shared. You won't be handed a clean slate, and you won't be asked to just tune what's there. You'll rebuild the baseline and define what a true AI-native go-to-market looks like.

This is the founding seat on the function, with a leader's runway. Prove the model on one motion, then hire under you as each number earns it.

What You'll Build:

You move the numbers, and you build whatever moves them. Sometimes that's a routing change, sometimes a new scoring layer, sometimes an AI agent that takes a rep's busywork. The thread through all of it: you decide where the leverage is, then build it.

We've started on inbound conversion (routing and next-best-action on our existing lead-scoring model), but it needs scale and a real rethink. From there the surface is wide: the outbound motion, marketing automation and testing, the measurement model that points spend at what actually converts, and the repfacing AI that handles research and follow-up so reps sell. Underneath it is one backbone, the data and integrations that connect our CRM, enrichment, and scoring, so the motions run on one system instead of four bolted together. We already run AI in production today (lead scoring, Clay workflows); your job is to push it deeper across every motion.

What You've Done :

The first two decide it.

1. You moved a number and knew why. You decided which lever mattered, built the thing that moved it, and can quote the result: not "improved conversion" but "this segment went from X% to Y% over Z weeks, and here's how I measured it." Extra credit for a time you decided not to build something, and were right.

2. The bar isn't deep engineering. It's that you ship, yourself. You live in Claude Code (or whatever's best) and build with AI doing the heavy lifting: an integration, a workflow, an agent that did a real job your team depended on. Python and SQL where they help. Show what you shipped; commentary and slides don't count