LLM Engineering — You’ve built real systems on top of LLM APIs (Claude, OpenAI, or similar) — not just wrappers or chatbots, but agents wired into production workflows. You understand context management, tool use, prompt reliability, and when AI creates real leverage vs. when it adds noise.
B2B Marketing Stack — You have deep, hands-on familiarity with Salesforce, HubSpot, Qualified, Clay, and ZoomInfo. You know how data flows between these systems and what breaks when it doesn’t.
Technical Fluency — You can build, deploy, and maintain AI agents and automation systems without engineering support. You know how to wire together LLM APIs, marketing tools, and workflows to create production systems that actually run. Coding experience is a plus, but it’s not required — what matters is that you’re technical enough to own these systems end-to-end.
Systems Thinking — You treat the tools you build like products. That means fallback logic, monitoring, iteration loops, and knowing when to rebuild vs. patch.
Stakeholder Judgment — You can work across marketing, RevOps, and sales, absorb messy requirements, and turn them into clean, scoped builds. You push back when scope creep threatens quality.