Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 192 days ago

Director of Automation Engineering

Workable (global search)108,016 open roles

Where
Brazil
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowDirector of Automation EngineeringWorkable (global search) · Brazil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 192 days ago

Workable (global search) median: 7 days open

The posting

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

Job Summary

We’re hiring a VP of Automation Engineering for a senior, hands-on leadership role at the intersection of automation architecture, product engineering, and AI systems.

This is not a traditional management-only role. You’ll be expected to operate as a technical leader who still ships code, designs systems, manages engineers, and partners directly with the founder on strategy. You’ll own and scale the automation infrastructure that powers delivery across multiple clients while also building internal and external products that turn operational know-how into software.

This role is ideal for someone with deep n8n, JavaScript/TypeScript, Node.js, and Claude Code / LLM systems experience who has previously built automation infrastructure in a fast-scaling startup, agency, or services environment.

Key Responsibilities

  • 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.

Requirements

  • 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.

Benefits

💻 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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.