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Founding GTM Engineer

AI Engineer Full-time London, United Kingdom

Job details

Not specified Salary
London, United Kingdom Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Build the systems that help a commercial team find, engage, and retain customers at scale. You’ll own the go-to-market infrastructure end to end, combining data, automation, integrations, and AI workflows to reduce manual work and create qualified sales opportunities.

Responsibilities

- Design and maintain the go-to-market data model for accounts, contacts, and opportunities, keeping CRM records accurate and useful. - Build connected data pipelines, enrichment workflows, API integrations, internal tools, and custom automations. - Create and improve inbound, outbound, and follow-up systems that support customer acquisition and retention. - Deploy AI agents for tasks such as account research, pre-call preparation, and personalized outreach, and integrate them into day-to-day operations. - Test and refine customer segments, messaging, and acquisition workflows; use results to improve pipeline quality and inform the commercial playbook.

Requirements

- At least two years in go-to-market engineering, technical revenue operations, or a growth role involving automation and pipeline generation. - Experience designing and scaling systems in a fast-growing organization. - Hands-on experience with modern go-to-market tools such as Clay, Apollo, Instantly, n8n, or comparable platforms; able to build multi-step workflows. - Working knowledge of Python or SQL for data handling, API calls, and lightweight scoring or enrichment logic. - Experience generating qualified pipeline from audience definition through booked meetings, and deploying AI automations, agents, or workflows. - An experimental, analytical approach, with experience measuring results and iterating; programmatic SEO and answer engine optimization experience is also sought.

Benefits and work setup

The role offers competitive compensation with equity, flexible time off, and a flexible hybrid setup based around a central London office. Support includes therapy coverage, meals when working from the office, learning and development funding, and the hardware, subscriptions, and tools needed for the role. Team off-sites take place twice a year.

Skills detected in the listing

PythonSQLData Engineering
Detected Oct 14, 2026
Last verified Oct 14, 2026

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