Founding GTM Engineer

Plato

Berlin Full-time 2 mo ago
Workplace
On-site
Location
Berlin
Who can apply
Based in Germany: you usually need the right to work there

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About the role

Your responsibilities

We're looking for Plato's first GTM Engineer: the person who brings RevOps to Plato as a discipline and builds our revenue engine as a product, not a ticket queue. Pipeline, conversion, and revenue per headcount are your metrics. You're inheriting real infrastructure - HubSpot as our source of truth, a custom-built deal-scoring app, call intelligence via Grain, and company-wide AI access - but the layers underneath are still unbuilt: clean data, automated process, real forecasting rigor, AI-driven workflows. That's the job. This is a team-of-one role that's essentially a sandbox: a direct line to the founders, a mandate to change how we work, and no playbook telling you what to build first. If you want to build the infrastructure behind a revenue engine from the ground up and see your own builds move real numbers, let's talk.

What you'll actually do: * Get the data foundation trustworthy: CRM hygiene, field governance, deduping, enrichment on create * Automate the revenue process: lead routing, SLAs, stage criteria, clean handoffs across teams * Build the pipeline generation stack: signal-based outbound (ICP scoring, enrichment waterfalls, orchestration) so effort goes into conversations, not list-building * Bring AI into daily workflows: call-intelligence automation, research agents, health/churn scoring * Get forecasting and reporting to a place leadership can steer from weekly * Make sure what you ship gets used: instrument adoption, train the team, iterate

Your qualifications

Must-haves: * Hands-on experience architecting a CRM like HubSpot from the ground up - how objects, properties, and data structure are set up - not just administering one that's already built * Practical, production experience with outbound/enrichment tooling (e.g. Clay or similar) * You've built with AI/LLMs - prompt design, agents, or AI-powered workflows - in real production work * Strong data rigor: you can read a funnel, spot where the data is dirty, and quantify the impact of a fix before you build it * You think in systems and sequencing, not tickets - and can defend your reasoning under real pushback

Nice-to-haves: * Experience as an early GTM-Ops/RevOps hire at another startup * Familiarity with our stack or similar: Grain, Sales Navigator-style outbound tooling * Comfort with unit economics (CAC, ACV, payback) * Experience with mid-market, multi-stakeholder B2B deal cycles

Why us?

* Real ownership. You build our RevOps function from scratch, with real budget for tooling and a mandate to change how the revenue team works from day one. * No single lane. The role touches data, process, automation and AI. * Impact you can measure. See your own build move a real number within your first 90 days. * Top-of-market compensation, plus meaningful equity. * Close to the founders at a fast-growing AI startup backed by Atomico and Cherry Ventures ($14.5M seed). * Great team, great perks. Weekly team lunches, dinner on us when we work late, a sports membership and regular team events.

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