обновлено 8 дней назад
GTM Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GTM Engineer (AI): Designing and building systems to acquire and retain customers with an accent on CRM automation, API integrations, and AI agent deployment. Focus on automating the commercial process, building data pipelines, and implementing programmatic SEO/AEO to scale qualified pipeline.
Location: Remote, London
Company
is an AI Safety company building policies and infrastructure that test, enforce, and continuously improve the safety, reliability, and optimization of AI systems at scale.
What you will do
- Automate low-value commercial work so the Sales team can focus on closing deals.
- Design and build outbound and inbound systems for finding, acquiring, and retaining customers.
- Own the CRM and GTM data model, keeping accounts, contacts, opportunities, and operational data clean and reliable.
- Build internal tools, API integrations, data pipelines, enrichment workflows, and custom automation logic.
- Design and deploy AI agents for account research, pre-call intelligence, personalized outreach, and other GTM workflows.
- Identify high-converting segments, build an outbound and follow-up engine, test messaging, and generate qualified pipeline.
Requirements
- 2+ years of experience in GTM engineering, technical RevOps, or a growth role focused on automations and pipelines.
- Experience designing and scaling systems in a high-growth company.
- Hands-on experience with modern GTM tools such as Claude Code, Clay, Apollo, Instantly, n8n, or similar platforms.
- Ability to use Python or SQL for data work, API calls, scoring, and enrichment logic.
- Experience building qualified pipeline from ICP definition through booked meetings.
- Experience with programmatic SEO, AEO, AI deployments, experimentation, and rapid iteration.
Culture & Benefits
- Flexible time off and a remote working arrangement.
- Competitive compensation package including equity.
- Health insurance and mental health support, including therapy coverage.
- 401(k) retirement plan.
- Learning and development support for courses, conferences, and skills growth.
- Hardware, subscriptions, tools, and services required for the role, plus team off-sites twice a year.
Hiring process
- 30-minute introductory call.
- Take-home exercise.
- 60-minute interview with the Head of Revenue and Data Engineer, followed by a 45-minute final call with the CEO and Head of Engineering.
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