Founding GTM Engineer

Overview

In this founding role, you will build the pipeline-generation engine that powers our GTM efforts, using an AI-first approach to automate enrichment, scoring, and routing of target accounts. You’ll own the stack from sourcing to measurement, shipping plays that scale revenue and pipeline. You’ll prototype workflows with Claude, validate before production, and retire manual, repetitive processes. This position combines hands-on engineering with strategic guidance for how AI supports GTM outcomes.

Pay / Benefits

• Equity participation
• Unlimited Time Off
• Hybrid work (in-office two days a week)
• Annual learning budget
• Home office budget
• Enhanced parental leave and childcare benefits

Responsibilities

• Sourcing & enrichment: identify accounts and contacts missing from data vendors via public sources and web scraping
• Own enrichment stack (Clay): manage waterfalls, data sources, cost logic, quality monitoring, and Salesforce write-back
• Account scoring: design, defend weightings, validate against pipeline, and update as signals arrive
• Pipeline generation: create signal-based, evergreen outbound plays that reduce manual work for BD/AE
• Integration & automation: connect Salesforce, HubSpot, Outreach, Clay, and data sources via APIs and webhooks; build reliable automations
• AI use cases: drive research and qualification agents, rep-facing intelligence, and guardrails; set GTM AI standards
• Collaboration: partner with BD, marketing, Salesforce admins, and BI for data architecture and integrations
• Delivery in three months: enforce Clay enrichment quality, launch new sourcing pipeline, implement scoring, ship field automations, and run an end-to-end signal-based outbound play

Key requirements

• End-to-end pipeline-generation system design and delivery
• Web scraping and search API usage (e.g., ZenRows, Serper) to build unique lists
• API/webhook integrations with automation tools (n8n, Make, Zapier)
• SQL; Python or JavaScript for gap-filling
• Deep Clay expertise; production AI/LLM workflow experience with guardrails
• Partner mindset with BD/Marketing; ability to argue for B2B demand channels
• Collaborative and cross-functional attitude
• Ability to defend model weightings and data-driven decisions
• Proactive problem solving and autonomy
• Web scraping and data-collection pipelines
• APIs, webhooks, and automation platforms (n8n, Make, Zapier)
• SQL, Python or JavaScript

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