GTM Engineer

Join our go-to-market team as a GTM Engineer, where you'll centralize intelligence and build engines that enhance sales and customer success. You'll work at the intersection of business systems, data, and AI, executing AI-driven automation across our GTM stack. This is a senior individual contributor role that treats GTM as a software problem and focuses on building reliable, maintainable systems.

• Centraliser l'intelligence et construire des moteurs réutilisables pour améliorer l'efficacité des équipes de vente.
• Posséder l'exécution de l'automatisation pilotée par l'IA à travers notre pile GTM, en utilisant des outils comme Salesforce, Gainsight, Gong, Nooks, Clay et BigQuery.
• Transformer des problèmes ambigus en systèmes expédiés, en traduisant des problèmes commerciaux flous et des flux de travail manuels à fort effort en automatisation fiable pilotée par l'IA.
• SQL fluency: you can write and understand complex, multi-table queries, and you're comfortable in a warehouse layer (dbt, BigQuery)
• Advanced Clay (or an equivalent enrichment + orchestration platform): you know when to reach for Clay and when to build something custom in Claude Code
• 3–5 years in GTM Engineering, RevOps, Marketing Ops, Sales Systems Engineering, or Growth Engineering, building software-grade automation for a B2B SaaS GTM organization
• AI coding assistant fluency (Claude Code, Codex, or Cursor): you use one daily to scaffold, debug, and ship a working automation the same day you started it
• Ownership Mindset: you define scope with minimal direction and ship a good v1 in weeks over a perfect one that never ships
• Hands-on experience inside Salesforce (data model, Flows, formula fields — Apex is a plus): you understand how leads and accounts actually move through the system, and why data quality degrades over time
• You're a Senior IC and an opinionated builder who thinks in systems and in outcomes. You tinker until an unfamiliar tool works, and you solve problems analytically across functions to get there
• 5+ years total experience
• Production experience with LLM APIs (Claude, OpenAI): prompt design, eval loops, error handling, and the difference between a demo and something you’d trust in production
• Agent tooling and Model Context Protocol (MCP) experience (Claude Agent SDK, MCP servers, a shared library of skills/prompts/plugins)
• Project experience in AI/ML, advanced analytics
• Background in early careers or marketplace SaaS