Head of Automation Engineering job opportunity at Huzzle.

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Date2026-03-09T12:13:49.515Z bot
Huzzle Head of Automation Engineering
Experience: General
Pattern: Full-time
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degreeGeneral
Colombia
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About Huzzle 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. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company This company is an operator-led, AI-powered go-to-market (GTM) platform built for modern revenue teams. They design and deploy automation-driven revenue systems that transform market signals into qualified pipeline. Their infrastructure leverages cutting-edge tools like Clay, n8n, AI agents, and multi-channel outreach platforms to help scaling companies ($1M–$100M+ ARR) build competitive advantages through automation, not headcount. Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company’s n8n automation ecosystem , including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms . Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company’s productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation . AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic . Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring . Optimize AI usage for cost efficiency, reliability, and scalability . Team Leadership & Technical Strategy Build and manage an automation engineering team , including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript , including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code . Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills , including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers , not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems . Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms . Experience using AI tools (e.g., Claude or similar) as daily development accelerators .

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