The Role
We're hiring our first dedicated GTM Engineer to sit at the intersection of sales, marketing, and product. You'll build the systems, workflows, and AI-powered tooling that let a focused revenue team generate an enterprise-grade pipeline without enterprise-grade headcount.
What You'll Own
Outbound & Account Intelligence
Build and maintain enrichment pipelines that score and prioritize leads and accounts
Develop AI-powered personalization workflows in Clay, Apollo, or similar so every outbound touch references the prospect's actual operating reality
Stand up intent-data and remarketing reconciliation flows across our tech stack
Productize pre-call intel briefs into automated, repeatable artifacts AEs can pull on demand
Build and maintain competitive battlecards and displacement playbooks for our most common takeouts
Call Intelligence & Revenue Analytics
Build pipelines from Gong (or successor) into LLM workflows that produce daily/weekly sales reports, surface objection patterns, flag at-risk deals, and feed competitive intel back to product and marketing
Partner with RevOps to build attribution, conversion, and velocity dashboards that actually inform decisions, not just decorate Monday meetings
Stand up and govern internal AI workflows the GTM team uses daily: prompt libraries, custom Claude/GPT projects, MCP integrations with our CRM and call platforms
Be the person who decides when a workflow should be a Clay table vs. a Python script vs. a real product request to engineering
What We're Looking For
3+ years in a GTM Engineering, or RevOps role, and a bonus if any of that was at a vertical B2B SaaS company
Deep, opinionated fluency with the modern GTM stack: Clay, Apollo (or similar), Gong, Salesforce, HubSpot, LinkedIn
Hands-on experience building with LLM APIs (Anthropic, OpenAI), prompt design, tool use, evals, cost management
A track record of shipping systems that demonstrably moved a revenue metric: pipeline created, meetings booked, win rate, cycle time