GTM/Growth Engineer

Rebar•New York City, NY

22h•Onsite

About The Position

Rebar is building the AI operating system for commercial HVAC, Electrical, and Plumbing. Commercial mechanical, electrical, and plumbing firms run billion-dollar construction projects on workflows that still look like it’s 1985. Construction is 10% of GDP and still massively underserved by software. We are changing that. We recently raised a $14M Series A from leading construction tech investors and are entering our next phase of growth. We are building a set of AI native products that will define how this industry operates. We are looking for a GTM/Growth Engineer who wants to build, move fast, and take ownership early. You will help define how AI changes one of the largest industries in the world.

Requirements

2–5 years of experience , most of it closer to sales, growth, RevOps, or marketing ops than to traditional software engineering
Genuinely fluent directing an AI coding tool (Cursor, Claude Code, Copilot, or similar) to build and ship real automations
A track record of building or shipping revenue automation (Clay, HubSpot workflows, sequencing or lifecycle logic) at a prior company
A verification instinct: you catch it when an AI's output looks right but isn't
Comfortable in a terminal/IDE environment, even without a formal CS background
Comfortable in early-stage environments: scrappy, creative, and fast

Nice To Haves

Experience building systems that span sales and marketing (shared lead scoring, campaign-to-CRM handoff, lifecycle automation), not just BDR-outbound tools
Has worked on expansion, renewal, or win-back motions, not only new-logo pipeline
Came up through a BDR, AE, growth, or marketing ops role at a company known for automation-heavy revenue systems
Has quietly built their own workflows to move a number faster, even informally, before it was their job
Active in the Clay community, GTM-engineering circles, or the "build in public" AI-automation world
Genuine curiosity about the construction/HVAC vertical, not just the GTM-engineering title

Responsibilities

Build the automation layer across the full revenue lifecycle
Design and ship enrichment, scoring, and routing pipelines for new pipeline generation
Build signal-based systems that flag expansion and renewal opportunity inside existing accounts
Build re-engagement and win-back automation for closed-lost deals, so nothing just dies in the CRM
Use AI coding tools to build and iterate fast, verifying every output rather than trusting it blindly
Own the tooling day to day: build it, run it, fix it when it breaks
Partner across the go-to-market org
Work with BDRs on outbound systems that make every touch sharper, not just more volume
Work with AEs on the signals and workflows that surface expansion and renewal opportunity before it's missed
Work with Marketing to connect lead scoring, campaign data, and lifecycle triggers into the systems Sales actually runs on
Bring the Head of Sales problems and options, not just finished systems, especially early on
Move revenue metrics
Ship a working system in your first 90 days, then keep iterating against real numbers
Track and report on pipeline generated, expansion/renewal revenue influenced, and closed-lost win-back rate, not just systems shipped
Learn what's actually driving (or killing) results at each stage, and rebuild the workflow accordingly