VP of Automation Engineering

At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth. With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage.

Non-Negotiable:

• Deep, production-level experience with n8n automation systems
• Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases)
• Proven experience leading engineers while remaining hands-on
• Daily, hands-on use of Claude Code in development workflows
• Strong working experience with Clay for data enrichment, signal detection, or GTM automation
• Experience building and scaling AI/LLM systems in production
• Strong systems architecture thinking (scalability, reliability, fault tolerance)
• Executive-level mindset with the ability to align technical decisions with business outcomes

Preferred Experience:

• Agency or services background with multi-client automation systems
• Experience building SaaS or productized internal tools
• Familiarity with tools like Airtable, HubSpot, Slack APIs, and outbound infrastructure
• Experience with cloud platforms (AWS, GCP, etc.)

Automation Architecture & Infrastructure:

• Own and scale end-to-end automation systems using n8n and API integrations
• Architect orchestration layers for complex, multi-client environments
• Build resilient systems with monitoring, alerting, and self-healing capabilities
• Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure

Product Development:

• Build internal and client-facing products using Node.js, TypeScript, and modern frameworks
• Own the full product lifecycle—from architecture to deployment
• Develop scalable automation products and operational dashboards
• Establish engineering standards, CI/CD pipelines, and documentation

AI Systems & Intelligence Layer:

• Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.)
• Use Claude Code as a core development accelerator across the team
• Build intelligent pipelines for classification, enrichment, and decision-making
• Optimize prompt engineering, evaluation systems, and reliability at scale

Leadership & Technical Strategy:

• Build, manage, and mentor a high-performing engineering team
• Define and execute the technical roadmap aligned with company growth
• Partner directly with the CEO on product and engineering strategy
• Lead sprint planning, prioritization, and delivery execution