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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, Mar Tech, Fin Tech, 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 idóneo 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, Java Script,



or Type Script
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

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, Java Script, or Type Script
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 Dev Ops practices (CI/CD, monitoring, cloud infrastructure)

Active participation in automation, AI, or GTM engineering communities

Fully Remote: Work from anywhere with international teams

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q5a44

📌 Head of GTM Engineering (AI Systems) (Santa Fe)
🏢 Colossyan
📍 Santa Fe