GTM Data Architect & Automation Engineer

Datasnipper

Amsterdam

On-site

EUR 75,000 - 110,000

Full time

3 days ago
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Job summary

DataSnipper is hiring a GTM Engineer to build and run the Data, Systems & AI Engineering layer underpinning the company''s GTM and Business Operations stack. You will design and own the CRM data architecture, enrich data with external signals, and orchestrate integrations across the stack to enable Marketing, Sales, CS, and BD to operate on clean, governed data daily.

You will build automations and AI agents across tools like Clay, Gong, Snowflake, and HubSpot, turning complex processes into

Qualifications

  • 2–4 years in RevOps, marketing/sales/CS ops, data/CRM admin or related role.
  • AI fluency you actually use in workflows and automation.
  • A builder's mentality: ship automations and scalable solutions.
  • Comfort owning data models, integrations, and governance.
  • Commercial bias: focus on impact on deals and pipeline.
  • Cross-functional comfort across marketing, sales, CS, and engineering languages.

Responsibilities

  • Own CRM data architecture and HubSpot data model evolution.
  • Implement lead routing, ICP, and territory logic within CRM.
  • Build and maintain enrichment and signals using Clay, ZoomInfo, Apollo, Clearbit, Starbridge.
  • Own GTM tool integrations (Gong, Snowflake, Clay, Default AI, Starbridge, dialers).
  • Develop account scoring models and Clay functions for sales/marketing.
  • Create AI-driven workflows and agents (Claude, Default AI) for revenue teams.

Skills

RevOps experience
AI fluency
Builder's mindset
Infrastructure ownership
Cross-functional collaboration
Commercial bias
Strong communication

Tools

HubSpot
Clay
ZoomInfo
Apollo
Clearbit
Starbridge
Gong
Snowflake
Default AI
Starbridge
Lovable
n8n
Bolt

Job description

DataSnipper is hiring a GTM Engineer to build and run the Data, Systems & AI Engineering layer underpinning the company''s GTM and Business Operations stack. You will design and own the CRM data architecture, enrich data with external signals, and orchestrate integrations across the stack to enable Marketing, Sales, CS, and BD to operate on clean, governed data daily.

You will build automations and AI agents across tools like Clay, Gong, Snowflake, and HubSpot, turning complex processes into

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