GTM Engineer

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

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  Build and maintain enrichment pipelines that score and prioritize leads and accounts

  
  


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  Develop AI-powered personalization workflows in Clay, Apollo, or similar so every outbound touch references the prospect's actual operating reality

  
  


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  Stand up intent-data and remarketing reconciliation flows across our tech stack

  
  

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  Productize pre-call intel briefs into automated, repeatable artifacts AEs can pull on demand

  
  


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  Build and maintain competitive battlecards and displacement playbooks for our most common takeouts 

  
  

Call Intelligence & Revenue Analytics

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  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

  
  


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  Partner with RevOps to build attribution, conversion, and velocity dashboards that actually inform decisions, not just decorate Monday meetings

  
  

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  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

  
  


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  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

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  3+ years in a GTM Engineering, or RevOps role, and a bonus if any of that was at a vertical B2B SaaS company

  
  


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  Deep, opinionated fluency with the modern GTM stack: Clay, Apollo (or similar), Gong, Salesforce, HubSpot, LinkedIn

  
  


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  Hands-on experience building with LLM APIs (Anthropic, OpenAI), prompt design, tool use, evals, cost management

  
  


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  A track record of shipping systems that demonstrably moved a revenue metric: pipeline created, meetings booked, win rate, cycle time