GTM Engineering Lead (AI-first)

TL;DR

GTM Engineering Lead (AI-first): Design and build automated GTM workflows that turn target accounts into pipeline by connecting marketing data, sales activity, and AI agent decisioning. Focus on building end-to-end account-based infrastructure (TAL, enrichment, signal activation, and reporting) with an accent on multi-step workflow automation and CRM/analytics data integrity.

Location: London

Company

DeepL is a global AI product and research company building secure, intelligent solutions for business communication and translation.

What you will do

• Design and build GTM workflows for outbound, inbound, routing, enrichment, and follow-up.
• Create and maintain target account lists and workflows that keep TAL current, qualified, and routed.
• Set up account research and enrichment workflows to provide context for reps and AI agents.
• Build AI agent workflows for account research, personalization, and decisioning.
• Activate buying signals (intent, behavior, product usage) into the right next action per account and define the signal-to-pipeline-to-revenue path.
• Maintain CRM, analytics, and GTM tooling with clean data, working integrations, and real-time visibility; build reporting linking account engagement to pipeline progression.

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 integrating enrichment, AI, and CRM data (e.g., n8n, Zapier, Clay).
• Comfort with prompt engineering and shipping AI-powered workflows; SQL skills to validate code.
• Experience with enrichment and intent data tools (e.g., Zoominfo, Clay, Qualified), marketing automation (e.g., HubSpot), and CRM (e.g., SFDC).
• Cross-functional collaboration experience with Marketing, Sales, SDR, Data, and Engineering.

Nice to have

• Deep MAP ownership experience (HubSpot, Marketo, or similar): custom properties, workflows, APIs, and integrations.
• Experience evaluating and implementing a CDP.
• Sales engagement platform admin experience (e.g., Salesloft, Gong).
• Prior partnership with Data Science or Revenue Intelligence teams on scoring.

Culture & Benefits

• Hybrid work model based in London.
• Work on an AI-first stack in a global AI product and research company.
• Culture focused on authenticity, trust, curiosity, and care.
• Opportunity to contribute to products used by millions of individuals and business customers across many markets.

Hiring process

• Interviews focused on GTM/RevOps engineering experience, workflow design, and cross-functional collaboration.
• Discussion of AI-powered workflow building and data/CRM integration approach.