Founding GTM Engineer

White Circle · Remote · London ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Founding GTM Engineer
  • Hybrid (London)
  • AI Safety Sector
  • Python + SQL
  • Series A Funded

Join White Circle, an AI Safety company that has raised $70M to build reliability layers for AI systems. As a Founding GTM Engineer, you will design data models, connect tech stacks, and deploy AI agents to automate outbound and inbound customer acquisition processes.

What you'll do

  • Automate low-value commercial tasks to increase sales team efficiency
  • Design and build systems for customer acquisition and retention
  • Own CRM data quality, structure, and reliability
  • Build internal tools, API integrations, and custom automation logic
  • Deploy AI agents for account research and personalized outreach
  • Design the GTM data model for accounts, contacts, and opportunities
  • Manage data pipelines, enrichment, and stack integrations

What you'll need

  • 2+ years in GTM engineering, technical RevOps, or growth automation
  • Experience scaling systems in high-growth companies
  • Proficiency with modern GTM tools like Clay, Apollo, or n8n
  • Comfortable using Python or SQL for data and API work
  • Knowledge of building qualified pipeline from ICP to booked meetings
  • Experience with programmatic SEO and AEO
  • Proven ability to deploy AI automations and agents

Stack

  • Python
  • SQL
  • Claude Code
  • Clay
  • Apollo
  • Instantly
  • n8n

How you'll work

  • Hybrid setup with an office in central London
  • Flexible time off policy
  • Hardware and subscriptions provided

What you get

  • Competitive compensation including equity
  • Mental health support and therapy coverage
  • Lunch and dinner covered when working from the office
  • Learning and development budget for courses and conferences
  • Team off-sites twice a year

Hiring process

  • Intro call with Talent (30 min)
  • Take-home assignment
  • Interview with Head of Revenue and Data Engineer (60 min)
  • Final call with CEO and Head of Engineering (45 min)