Govsignals

Founding GTM Lead

New York, New York, United StatesFull timeExecPosted 15 days ago
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FOUNDING GTM LEAD

New York, NY • Full-time • Hybrid (3+ days/week in office)

ABOUT GOVSIGNALS

GovSignals is the AI system of work for government contracting. It can take the government longer to buy a capability than an adversary takes to field one, and we exist to close that gap.

We're the only startup managing government contract data with AI in both FedRAMP High and DoW Impact Level 5 environments. Our platform monitors 5,000+ live government data sources, 100,000+ federal and state agencies, and 2,000,000+ government contracts in real time. Our customers range from small contractors to Fortune 500 primes with billions in annual awards, and our government work reaches mission critical contract management. In the past 18 months, we've earned FedRAMP High and IL5 authorizations, joined GSA MAS and the MDA SHIELD IDIQ, and signed some of the biggest names in government contracting.

ABOUT THE ROLE

We're hiring our Founding GTM Lead to build our growth function. You'll work directly with the founding team across product, sales, deployment, and platform, and own the AI-native GTM engine that scales GovSignals' reach — from messaging and campaigns to the operational backbone underneath them.

This is a role for an AI-native marketer who builds the systems, not just runs them. You'll do the work of a five-person marketing team by wiring LLM-driven workflows and modern automation tools into a GTM engine that compounds. For the past three years, GovSignals' growth has come almost entirely from word-of-mouth and in-person engagements. Now it's time to build the next evolution of our GTM motion — and we want it built by someone who treats AI tooling as their daily workbench, not a buzzword. If your instinct when you see a marketing problem is "I can wire that up myself this weekend" rather than "let me hire an agency," this role is for you.

WHAT YOU'LL DO

- Build the AI-powered GTM engine. Stand up enrichment pipelines, LLM-driven personalization, and agentic out...