GTM Engineer - Nebius Token Factory
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About the role
As our first GTM Engineer, you will define and build the systems that manage and track the entire marketing journey for Token Factory, from product signups and engagement to qualified pipeline and revenue. You'll work closely with Marketing, Product, Sales, and Engineering to create the visibility, automation, and intelligence layer powering GTM execution You're welcome to work remotely from the United States. Your responsibilities will include: Build and scale Token Factory's funnel architecture across acquisition, activation, product 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 that uncover bottlenecks, identify opportunities, and drive decisions Develop signal-driven workflows and automations that help teams prioritize the right accounts at the right time Use AI and automation to improve GTM systems, identify patterns, surface insights, and optimize workflows Create operational rigor around lead routing, BDR SLAs, funnel health, and performance visibility We expect you to have: 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
Additional Information
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
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