GTM Engineer

Join DataSnipper as a GTM Engineer, where you'll build and run the Data, Systems & AI Engineering layer that supports our go-to-market and business operations. You'll own the CRM data architecture, build the enrichment and signal infrastructure, run integrations and governance, and create automations and AI agents. This is a unique opportunity to lay the foundations of a world-class AI GTM Engineering team in a fast-paced AI company.

• Construire et gérer l'architecture des données CRM, l'infrastructure d'enrichissement et de signalisation qui l'alimente, et les intégrations qui maintiennent l'ensemble de la pile ensemble.
• Mettre en œuvre le routage des leads, l'ICP et la logique de territoire dans le CRM selon les règles définies par RevOps, et construire des flux de travail d'automatisation qui les exécutent de manière fiable.
• Posséder les intégrations et les outils de GTM de bout en bout (Gong, Snowflake, Clay, Default AI, Starbridge, dialers, Common Room) afin que les données circulent proprement sans enregistrements en double ou conflictuels.

• A builder's mentality. When you hit a wall, you build the thing rather than file a ticket. You pick up Lovable, Bolt, n8n, or whatever new tool surfaces. You've shipped automations that touched real revenue
• Comfort owning infrastructure, not just automations. You own a data model, an integration, or a governance rule as confidently as you own the plumbing - not just what sits on top of it
• AI fluency you actually use. You've been integrating LLMs, automations, and agents into your work for a while. You can talk concretely about what works, what breaks, and what's still a hack
• A commercial bias. You ask “does this help close a deal?” before “is this elegant?” You measure your work in meetings booked and pipeline influenced
• Integrations: Gong, Snowflake, Default AI, dialers, Common Room
• 2-4 years in RevOps, marketing/sales/CS operations, data/CRM administration, or a closely adjacent role. Prior GTM Engineering experience is a plus, not a requirement - the strongest people in this discipline today are crossovers
• CRM and data architecture: HubSpot
• Bonus: SQL, Python, or TypeScript. The real signal is willingness to learn by tinkering
• AI tooling: Claude Enterprise (Projects, Skills, and MCP integrations all unlocked), plus ChatGPT, and a flexible stack. Think: n8n, Lovable, Bolt
• Workflow automation: Zapier, HubSpot workflows
• Enrichment and orchestration: Clay, ZoomInfo, Apollo, Clearbit, Starbridge
• Cross-functional comfort. You can move between marketing, sales, CS, and engineering languages without losing the room