You'll work on our enterprise AI SaaS product as both a builder and an operator: shipping code that drives pipeline and conversion.
Specifically, you will: Ship AI-powered workflows that scale our growth and sales motions as a competitive advantage Audit our existing GTM stack, identify the gaps and redundancies, and start shipping against them fast Embed with our sales and growth teams to turn their best plays into systems the whole org can run on Build internal tools and agents that replace manual workflows - lead routing, enrichment, outbound personalization, account research, content distribution, attribution Know when to reach for off-the-shelf tools and when to build something custom Partner closely with engineering and design to test new features, give feedback, and dogfood our own AI capabilities for GTM use cases Publish playbooks and internal guides so wins propagate across the team About you Likely 2-5 years of professional software engineering experience, with at least some of that applied directly to GTM, growth, or revenue systems You're a heavy user of AI tools like Claude Code, Cursor, or Codex and have shipped non-trivial things with them You've built with LLMs and AI agents - think RAG, evals, tool use, prompt engineering You're hands-on with the modern GTM stack (Clay, HubSpot or Salesforce, Apollo, Cargo, Gong, Outreach/Instantly, etc.
) and can navigate APIs, webhooks, and integrations fluently You have strong product and design taste - the internal tools you build should feel as polished as the product You think in systems and like turning messy operational problems into clean, automated ones You have real commercial instinct - you can sit in a sales call or read a growth dashboard and immediately see where leverage exists You communicate clearly across technical and non-t.