GTM Engineer

The role

You will build and run the Data, Systems & AI Engineering layer for the GTM and Business Operations stack. This involves owning CRM data architecture, building enrichment and signal infrastructure, and developing automations and AI agents.

What you will do

• Administer and evolve the HubSpot data model
• Implement lead routing, ICP, and territory logic into the CRM
• Implement rules of engagement into CRM workflows and Clay infrastructure
• Build and maintain enrichment via Clay and providers like ZoomInfo, Apollo, Clearbit, and Starbridge
• Run TAM analysis and intent-data infrastructure
• Own GTM tool integrations end to end
• Apply data governance standards and respect change control
• Shape vendor and tool decisions
• Build and maintain core Clay and Lemlist infrastructure
• Develop account scoring models and AI-assisted workflows

Required qualifications

• 2-4 years in RevOps, marketing/sales/CS operations, data/CRM administration, or a closely adjacent role
• AI fluency including integrating LLMs, automations, and agents
• A builder's mentality
• Comfort owning infrastructure
• A commercial bias
• Cross-functional comfort

Nice to have

• Prior GTM Engineering experience
• SQL
• Python
• TypeScript

Benefits

• 28 vacation days
• Excellent salary
• Pension plan
• Stock participation plan
• Hybrid work (Amsterdam-based)
• International team and environment
• Daily lunch
• Mental health support (OpenUp)
• Social events and team activities

Before you apply

• Recruitment Screen (30 minutes, online)
• Hiring Manager Interview (30 minutes, online)
• Assessment Interview (60 minutes, on-site)
• Final Interview (30 minutes, online)

About the company

DataSnipper builds AI solutions that empower audit and finance professionals. The company is a scale-up based in the Netherlands trusted by Fortune 500 companies and Big Four audit firms.