GTM Engineer

Posted 1hrs ago

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Job Description

GTM Engineer defining and building systems managing marketing journeys at Nebius Token Factory. Collaborating with cross-functional teams to create automation and intelligence for GTM execution.

Responsibilities:

  • Define and build the systems that manage and track the entire marketing journey for Token Factory
  • Work closely with Marketing, Product, Sales, and Engineering to create visibility, automation, and intelligence for GTM execution
  • Build and scale Token Factory’s funnel architecture across acquisition, activation, engagement, qualification, pipeline, and revenue
  • Connect product telemetry, CRM systems, enrichment tools, and marketing data into a unified view of customer activity
  • Define and evolve MQL, PQL, account scoring, routing logic, and sales handoff workflows
  • Build dashboards and analytics frameworks to uncover bottlenecks and drive decisions
  • Develop signal-driven workflows and automations for team prioritization
  • Use AI and automation to improve GTM systems and optimize workflows
  • Create operational rigor around lead routing, BDR SLAs, funnel health, and performance visibility

Requirements:

  • 4+ years of experience across GTM Engineering, Growth Engineering, RevOps, Product Analytics, Growth Operations, or similar roles
  • Experience building systems that connect data, workflows, and customer signals across multiple platforms
  • Strong SQL and analytics skills with a track record of turning data into action
  • Hands-on experience with tools such as Salesforce, HubSpot, Clay, Demandbase, Hightouch, or similar platforms
  • Experience building workflows, automations, or AI-powered systems
  • Strong systems thinking and comfort operating in fast-moving environments

Benefits:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and work-life balance
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams