Description
We're looking for a GTM Engineer who loves to build: someone who gets genuinely excited about what's possible with AI and automation, thinks like a product owner about the systems they create, and has the technical chops to ship solutions that actually stick.
Build and Automate GTM Workflows
Automate manual GTM processes end-to-end, from lead enrichment and account research to pipeline hygiene and outbound sequencing, using AI agents, no-code/low-code tools, and custom integrations.
Build event-driven automation across the GTM stack using Airtable, Clay, Zapier, n8n, and similar tools, always asking "how do we make this scale?" rather than "how do we make this work once?"
Develop AI-Powered Systems
Leverage LLMs (Claude, ChatGPT, Gemini) to build intelligent automations for outbound, enrichment, account research, and internal workflows.
Think in terms of "signal → insight → action": ingest intent data, score accounts, and route intelligence to the right reps at the right time.
Stay at the frontier of AI-native GTM tooling, experimenting with new models and approaches before they become standard practice.
Connect and Maintain GTM Data Flows
Keep clean, reliable data moving between core GTM systems , Salesforce, Databricks, enrichment tools, and downstream platforms like Gong and Outreach.
Use Hightouch and Fivetran to operationalize warehouse data across the GTM stack.
Partner Cross-Functionally
Treat the systems you build as products: gather feedback, iterate on what's working, and proactively identify what to build next.
Partner with Sales, Marketing, and RevOps to understand how work actually gets done, then build tools that make it dramatically better.
Document and maintain your systems so the team can build on top of them, not around them.