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Head of Automation Engineering

Head of Automation Engineering

from

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 aHead of Automation Engineering to serve as the most senior technical leader within the company.

This role is ideal for ahands-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’sn8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization.
    • Design automation infrastructure capable of handlingmulti-client operational complexity across different ICPs, channels, and campaign structures.
    • Architect the integration layer connecting core operational tools such asClay, Airtable, HubSpot, Slack, and outbound infrastructure platforms.
    • Build robusterror handling, monitoring, alerting, and self-healing mechanisms within automation pipelines.
    • Ensure automation systems remainmaintainable, scalable, and resilient as operational volume increases.
  • Product Development & Engineering
    • Buildinternal platforms and tools that convert operational processes into scalable software products.
    • Developclient-facing automation tools and reporting systems that extend the company’s productized service offerings.
    • Own thefull-stack development lifecycle from architecture and development to deployment and iteration.
    • Establish engineering standards includingcode reviews, CI/CD pipelines, testing frameworks, and documentation.
  • AI Systems & Intelligence Layer
    • Design and implementproduction-grade AI pipelines leveraging models such as Claude and GPT.
    • Build systems that combineAI decision-making with deterministic automation logic.
    • Develop infrastructure forprompt engineering, model evaluation, and system performance monitoring.
    • Optimize AI usage forcost efficiency, reliability, and scalability.
  • Team Leadership & Technical Strategy
    • Build and manage anautomation engineering team, including hiring, mentoring, and performance management.
    • Partner directly with theCEO/Founder to translate business strategy into technical execution.
    • Lead sprint planning, backlog prioritization, and technical retrospectives.
    • Make strategicbuild vs. buy decisions to maintain engineering velocity and competitive advantage.
  • Non-Negotiable
    • Deep production-level experience with n8n automation architecture and workflow design.
    • Strongfull-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar).
    • Proven ability tolead engineering teams while remaining highly hands-on in production code.
    • Experience buildingAI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments.
    • Strongsystems architecture skills, including designing scalable, fault-tolerant systems.
    • Experience translatingbusiness problems into technical solutions in fast-moving environments.
  • Strongly Preferred
    • Experience building automation systems withinagencies, SaaS platforms, or services businesses handling multi-client infrastructure.
    • Experience launchingproducts used by real customers, not just internal tools.
    • Familiarity with modern outbound and automation tools such asClay, Airtable, HubSpot, Slack APIs, and email infrastructure systems.
    • Experience deploying and managing infrastructure onAWS, GCP, or similar cloud platforms.
    • Experience using AI tools (e.g., Claude or similar) asdaily development accelerators.

💻 Fully Remote: Work from anywhere with international teams

🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services

🤝 Peer Community: Connect with high-performing sales professionals in our network

🧭 Ongoing Support: Receive guidance from Huzzle before and after placement

💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

by @maxrusakovic