GTM Engineer

DataSnipperAmsterdamHybridFull-time4 weeks ago

DataSnipper is hiring a GTM Engineer to build and run the Data, Systems & AI Engineering layer underneath its GTM and Business Operations stack. The role owns CRM data architecture, enrichment and signal infrastructure, integrations and governance, and AI-driven automations across Marketing, Sales, CS, and BD. Requires 2-4 years in RevOps, marketing/sales/CS operations, data/CRM administration, plus hands-on AI fluency and a builder's mentality.

What you'll do

Administer and evolve the HubSpot data model: accounts, contacts, deals, and lifecycle stages
Implement lead routing, ICP, and territory logic into the CRM per rules RevOps defines
Implement rules of engagement (ROE) into CRM workflows, automation, and Clay infrastructure
Build and maintain enrichment via Clay and providers such as ZoomInfo, Apollo, Clearbit, and Starbridge
Run TAM analysis and intent-data infrastructure and keep data quality high
Decide which signals matter, how to surface them, and how to route them
Own GTM tool integrations end to end so data flows cleanly
Apply data governance standards and respect change control on the data model
Shape vendor and tool decisions on fit, overlap, and integration complexity
Build and maintain the core Clay & Lemlist infrastructure
Develop account scoring models and standardized Clay functions
Build agents, automations, and AI-assisted workflows in Claude, Default AI, and connected tooling
Activate the build across Marketing, Sales, BD, and CS funnel zones
Work through a request → brief → build → feedback model with Ops

What you need

Must-have

HubSpotClayZoomInfoApolloClearbitStarbridgeGongSnowflake

Nice-to-have

SQLPythonTypeScriptLovableBolt

Soft skills

Builder's mentalityCommercial biasCross-functional comfortAI fluencyWillingness to learn by tinkering

GTM EngineeringRevOpsHubSpotClayAI AutomationData ArchitectureB2B SaaSAmsterdamHybrid

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