Experience at a developer-facing or API-first company, or selling to technical buyers
Familiarity with dbt, BigQuery/Looker (or an equivalent warehouse + BI stack)
Experience building agentic workflows (multi-step AI systems, not just single prompts)
You've been the first GTM/growth engineering hire somewhere and built the function from scratch
4+ years in GTM/sales engineering, growth engineering, RevOps with heavy build responsibility, or software engineering with GTM exposure
Strong SQL and Python; comfortable owning production automations (APIs, webhooks, scheduled jobs, error handling) — not just no-code glue
Solid software engineering fundamentals: you write clean, maintainable code, think in systems, and are at home with version control, code review, and debugging — you don't need an engineering team to ship
Fluency with AI-assisted development tools like Claude Code as a core part of how you work: you use them to move at a pace that makes traditional ops teams look slow — automating messaging workflows, generating integrations, building tools on demand — while having the engineering judgment to review, test, and trust what ships
Hands-on Salesforce depth: objects, flows, routing, and API-level integration work
Real experience putting LLMs into workflows — prompt design, evaluation, and knowing when AI is the wrong tool
Experience with the modern GTM stack (enrichment platforms like Clay or similar, sequencers, warehouse-native tooling)
A builder's mindset with an operator's judgment: you scope for business impact, ship iteratively, and measure results in pipeline and revenue
Low ego, high ownership, and comfort being the single-threaded owner of an entire domain