AI-Driven GTM & RevOps Engineer

Chainels

Rotterdam

Hybride

EUR 75 000 - 110 000

Plein temps

Il y a 4 heures
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Avantages offerts par ce poste

Claude access
Personal development budget
Pension plan
Laptop
25 days annual leave
Complimentary lunch and snacks

Résumé du poste

Chainels is hiring a first-in-house AI GTM Engineer / RevOps to own HubSpot data, automation, and AI-driven workflows. You’ll bridge Marketing, Sales, and Operations, shaping systems, processes, and playbooks from the ground up in a hybrid Rotterdam-area setup.

You’ll work with Claude, MCP, n8n, and related tools to automate lead scoring, pipeline hygiene, and forecasting while building scalable RevOps operations for an AI-native company.

Qualifications

  • 3–5 years in RevOps, GTM engineering, or marketing/sales ops in B2B SaaS.
  • Data modeling and reconciliation across systems.
  • Deep proficiency with HubSpot workflows, objects, reporting, and integrations.
  • Daily use of Claude or similar AI tools for automation and analysis.
  • Experience with automation platforms (n8n, Make, Zapier).

Responsabilités

  • Own HubSpot as the central 360° customer intelligence platform and integrations.
  • Ensure data quality from first touch to renewal with shared definitions.
  • Build real-time pipeline and revenue metric reporting infrastructure.
  • Create AI-driven workflows with Claude, MCP, and tools across the stack.
  • Own integrations between HubSpot and other systems; enable scale.

Connaissances

RevOps
GTM engineering
Data modeling
SQL
APIs
HubSpot
Claude
Automation tools

Outils

n8n
Make
Zapier
MCP
Claude Code

Description du poste

Chainels is hiring a first-in-house AI GTM Engineer / RevOps to own HubSpot data, automation, and AI-driven workflows. You’ll bridge Marketing, Sales, and Operations, shaping systems, processes, and playbooks from the ground up in a hybrid Rotterdam-area setup.

You’ll work with Claude, MCP, n8n, and related tools to automate lead scoring, pipeline hygiene, and forecasting while building scalable RevOps operations for an AI-native company.

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