GTM Engineer

You'll build the operating system behind the go-to-market motion. Pipeline is growing, the SDR and AE teams are expanding, and every outbound cycle, deal, dashboard, enrichment flow, and CRM workflow needs to run on clean technical infrastructure — you'll own that system end to end.

What you'll do

• Own our enrichment engine end to end. Build multi-source ICP enrichment with Clay, AI agents, custom pipelines, APIs, Supabase, and Attio, so sales works with clean and contextual data
• Build and maintain the dashboards that steer the GTM team: pipeline coverage, funnel conversion, activity, cycle length, win rate, data-quality health, and founder-level ad-hoc analysis
• Own CRM workflows across schema, automations, integrations, hygiene, and source-of-truth definitions
• Build systems that prioritize which accounts get worked when, based on signal quality, fit, and win probability
• Ship outbound and email infrastructure that lets SDRs run more cycles with less manual overhead
• Improve data quality relentlessly through deduplication, enrichment confidence scoring, source definitions, and hygiene loops
• Turn sales calls and pipeline data into structured signal that changes how we target, message, and prioritize accounts
• Evaluate, introduce, and remove sales tools; you decide what deserves a place in the stack, working closely with SDRs, AEs, and founders

What you'll need

• 1+ year in a GTM Engineer, RevOps Engineer, Sales Ops Engineer, or comparable technical go-to-market role
• You've built and shipped at least 2 GTM systems or setups, in-house or as a freelancer
• You work AI-native by default, for example with Claude Code, MCP servers, agent-based workflows, or comparable tooling
• You're comfortable with APIs, webhooks, HTTP, integration debugging, and light back-end work
• You've built with Supabase or a comparable database
• You've built CRM workflows in Attio, HubSpot, Salesforce, or a comparable system
• Hands-on experience with ICP enrichment across multiple data sources, ideally with Clay plus custom or AI-based workflows
• Fluent German and English

Nice to have

• Experience with n8n, Make, or comparable automation tools
• Attio experience
• Background in fast-scaling B2B SaaS
• Experience moving from scratchy founder-built workflows to scalable GTM infrastructure

What they offer

• Senior-level compensation plus meaningful equity
• Direct ownership over the technical infrastructure of a fast-scaling GTM engine
• Founder-level proximity to the most important commercial questions in the company
• AI-native stack from day one
• On-site team in Hamburg