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Open nowPosted 181 days ago

Head of GTM Engineering (AI Systems)

Workable (global search)108,016 open roles

Where
Argentina
Work mode
Remote
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Your applicationOpen nowHead of GTM Engineering (AI Systems)Workable (global search) · Argentina

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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 181 days ago

Workable (global search) median: 7 days open

The posting

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.

Role Type: Full-time

Engagement: Independent Contractor

About the Company

Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure.

Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR.

Job Summary

We are hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to AI-agent-driven, code-first infrastructure.

This role is ideal for a builder who started in automation (e.g., workflow tools, enrichment pipelines, API integrations) and is now evolving into full-scale engineering—designing scalable systems, writing production code, and leading technical teams.

You will own the architecture powering revenue operations, build intelligent agent systems, and lead a team of engineers delivering high-impact GTM infrastructure across multiple client environments.

Key Responsibilities

AI Agent Architecture & Engineering

  • Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling
  • Develop scalable backend systems using Python, JavaScript, or TypeScript
  • Architect integrations across CRMs, APIs, data sources, and outreach platforms
  • Build reusable agent frameworks, templates, and SDK-like components for rapid deployment

Team Leadership & Engineering Culture

  • Lead and scale a distributed team of engineers (including offshore talent)
  • Establish best practices for version control, testing, documentation, and deployment
  • Mentor automation-focused engineers into AI-agent and software engineering roles
  • Own hiring, onboarding, and performance management

Platform Development & Innovation

  • Drive the shift from no-code workflows to code-first AI systems
  • Evaluate emerging AI tools, LLM capabilities, and automation frameworks
  • Contribute to internal AI tooling and reusable automation libraries
  • Prototype and validate new automation opportunities quickly

Systems Reliability & Performance

  • Ensure system reliability through monitoring, logging, and error handling
  • Optimize infrastructure for cost, performance, and scalability
  • Build observability systems to proactively detect and resolve issues

Requirements

Must-Have Experience

  • Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation)
  • Strong understanding of data pipelines, webhooks, and multi-step automation logic
  • Hands-on coding experience in Python, JavaScript, or TypeScript
  • Experience working with AI/LLM-powered systems (prompt design, chaining, context handling)
  • Deep understanding of outbound sales workflows and revenue operations
  • Experience leading or mentoring engineers or technical teams

Preferred Qualifications

  • Production-level engineering experience with scalable systems
  • Background in agencies, consultancies, or multi-client environments
  • Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure)
  • Active participation in automation, AI, or GTM engineering communities

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

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