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. If you've ever looked at a sales motion and thought "this could be 10x more efficient with the right stack, the right data, and a few well-placed LLM calls" this is the role for you. You'll have the rare combination of a real ICP (drayage carriers and brokers), a rich domain (FMCSA data, port operations, chassis pools, intermodal flows), and autonomy to build. 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 Sales Enablement & Pre-Call Intelligence 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 Internal AI Tooling 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