GTM Engineer
€90,000 – €115,000 / yr base salary
Posted 5 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | €90,000 – €115,000 / yr |
|---|
About Peec AI
Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.
We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.
About The Role
We're looking for a GTM Engineer to build the systems behind how Peec AI wins customers across Europe: automated enrichment, scoring, routing, and outbound that runs without anyone touching it. This is an on-site role in our Berlin office.
What You'll Do
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Build the GTM flywheel across outbound, inbound, ABM, and sales workflows using tools like Clay, Apollo, n8n, Zapier, and Clearbit
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Design and maintain automated lead enrichment, scoring, routing, and multi-channel outbound sequences, and launch 3 to 5 scalable campaigns each month
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Turn website and content engagement into outbound triggers, ABM plays, and AE follow-up workflows
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Own the full GTM tech stack: email deliverability, HubSpot workflows, data cleanliness, attribution, and the build-versus-buy calls as it evolves
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Build the documentation and playbooks that make the whole system repeatable
What We're Looking For
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2+ years in GTM engineering, RevOps automation, or a technical growth role in B2B SaaS
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A builder who can scope a messy, multi-source data problem and ship something the sales team actually trusts
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Hands-on with tools like Clay, HubSpot, Apollo, Zapier, and n8n, with enough Python or JavaScript to keep going when the no-code tools run out
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AI-native by default: your first instinct is to automate, not to add headcount
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A track record of increasing conversion and reducing manual SDR and AE workload through automation
Bonus Points
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Knowledge of attribution modeling, tracking setup, and analytics tools
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Experience building or scaling a GTM or RevOps function in a high-growth startup