Director of Automation Engineering

Huzzle is a fast-growing career platform that connects top talents with leading companies across the UK, US, Europe, and Australia. It admits only the top 2% of talent into its pool, providing access to great opportunities for long-term career growth. Initially launched as a Careers Platform for Students, Huzzle now serves over 200,000 professionals at all career stages, offering personalized job opportunities, skill-building tools, and professional development resources.

Non-Negotiable:

• Deep production-level experience with n8n, including complex workflows, webhook architectures, credentials, execution logic, error handling, and workflow scalability.
• Strong full-stack development skills in JavaScript/TypeScript, including Node.js backend systems and modern frontend development such as React or equivalent.
• Experience managing engineering teams of 3+ people while remaining actively hands-on in production code.
• Proven experience building and maintaining AI/LLM systems in production, including model integration, prompt workflows, output validation, token/cost awareness, and fallback design.
• Strong systems architecture capability with a track record of designing for scale, maintainability, observability, and resilience.
• Strategic technical leadership experience with the ability to translate business priorities into technical systems and product decisions.

Strongly Preferred:

• Experience in an agency, services, or multi-client delivery environment with shared infrastructure and varied customer requirements.
• Experience building products with real users, feedback loops, and iteration cycles—not just internal admin tools.
• Daily working experience with Claude or Claude Code as part of the development workflow.
• Familiarity with tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure.
• Experience with cloud infrastructure such as AWS, GCP, or similar platforms, including deployment, monitoring, and cost management.

Automation Architecture & Infrastructure:

• Own the company’s end-to-end automation ecosystem, including workflow design, orchestration, monitoring, versioning, and scaling.
• Build reliable, queue-based and event-driven automation systems that can support increasing client complexity without breaking under load.
• Architect multi-client automation infrastructure that supports different workflows, channels, cadences, and configurations across shared systems.
• Design and maintain integrations across tools such as n8n, Clay, Airtable, Slack, HubSpot, EmailBison, HeyReach, and other operational platforms.
• Implement robust error handling, alerting, and self-healing workflows to improve reliability and reduce downtime.
• Establish scalable standards for workflow documentation, deployment, credential management, and system governance.

Product Development:

• Build internal products that transform operating processes into repeatable software, including dashboards, reporting tools, signal engines, and AI-powered workflow systems.
• Lead the full product engineering lifecycle from architecture and implementation through testing and deployment.
• Develop client-facing tools and automation products that extend the company’s value beyond services.
• Set best practices for code quality, documentation, CI/CD, review processes, and release management.

AI Systems & Intelligence Layer:

• Design and deploy production-grade AI systems using Claude, OpenAI, and other LLM infrastructure.
• Build intelligent workflows for classification, generation, summarization, decision support, and operational automation.
• Determine where AI adds leverage versus where deterministic systems are the better architectural choice.
• Improve the quality and reliability of AI systems through prompt design, evaluation, validation layers, fallback logic, and cost-aware implementation.

Team Leadership & Technical Direction:

• Build, mentor, and manage a growing automation engineering team.
• Set engineering priorities, run sprint planning and retrospectives, and establish a high-performance delivery culture.
• Partner directly with the CEO/Founder as a senior technical counterpart on roadmap, systems design, and build-vs-buy decisions.
• Help shape the long-term technical organization, with clear progression toward a CTO-level leadership path.