Responsibilities

• Design and build the workflows that turn DeepL's GTM motion into running systems.
• You work operationally across the Marketing, SDR and Sales org, anywhere a workflow can sharpen targeting, surface intent, or accelerate the activation of a target account.
• Build automated GTM workflows: outbound, inbound, routing, enrichment, follow-up
• Create target account lists and the workflows that keep our TAL current, qualified, and routed
• Set up account research and enrichment workflows that surface context for reps and AI agents
• Build AI agent workflows for account research, personalisation, and decisioning
• Activate buying signals (intent, behaviour, product usage) into the right next action per account
• Build account-based journeys across email, web, paid, SDR, and AE motions.
• Define how a lead or account moves from signal to pipeline to revenue
• Keep our CRM, analytics, and GTM tooling in shape: clean data, working integrations, real-time visibility

Requirements

• 5+ years in MarOps, RevOps, or GTM Engineering at a B2B SaaS company
• Hands-on experience building account-based GTM infrastructure end-to-end (TAL, enrichment, signal activation, account-based reporting)
• Hands-on experience building multi-step workflows that integrate enrichment, AI, and CRM data (e.g. through n8n, Zapier, Clay)
• Comfort with prompt engineering and shipping AI-powered workflows. SQL skills to validate code.
• Experience using enrichment and intent data tools (incl Zoominfo, Clay, Qualified), marketing automation tools (e.g. Hubspot), CRM (SFDC)
• Cross-functional collaboration with Marketing, Sales, SDR, Data, Engineering

Preferred

• Deep MAP ownership experience (HubSpot, Marketo, or similar): custom properties, workflows, APIs, integrations
• Experience in CDP evaluation and implementation
• Salesloft, Gong, or comparable sales engagement platform admin experience
• Prior partnership with a Data Science or Revenue Intelligence team on scoring