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Head of GTM Engineering (AI Systems)

  • Remote, Canada

Remote

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Workplace
Remote
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

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 ResponsibilitiesAI 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

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

💻 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

More about this job

Responsibilities

Lead the transition from no-code automation to code-first AI-agent infrastructure while managing a distributed engineering team. Design and build scalable GTM systems, including AI-powered signal detection, enrichment workflows, and CRM integrations.

Requirements

Requires proven experience building production-level GTM automation systems and hands-on coding proficiency in Python, JavaScript, or TypeScript. Candidates must have a deep understanding of outbound sales workflows and experience leading technical teams.

Skills

  • Python
  • JavaScript
  • TypeScript
  • AI Agent Architecture
  • Workflow Automation
  • CRM Integration
  • Data Pipelines
  • API Integrations
  • Revenue Operations
  • Team Leadership
  • Software Engineering
  • Cloud Infrastructure
  • CI/CD
  • LLM
  • System Architecture
  • Observability

Benefits

  • Fully remote work
  • Career growth opportunities
  • Peer community access
  • Ongoing support

Remote locations

  • United Kingdom
  • United States
  • Canada
  • Europe
  • Australia

Remote locations (standardized)

  • United Kingdom
  • United States
  • Canada
  • Australia

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Management & Leadership
  • Sales

Keywords

  • AI Systems
  • GTM Engineering
  • Automation
  • Python
  • JavaScript
  • TypeScript
  • CRM
  • API
  • LLM
  • Revenue Operations
  • SaaS
  • MarTech
  • FinTech
  • EdTech
  • Data Infrastructure
  • Workflow Automation
  • CI/CD
  • Cloud Infrastructure
  • Monitoring
  • Logging
  • Scalability
  • Engineering Leadership
  • Outbound Sales
  • AI Agents
  • Backend Systems
  • Version Control
  • SDK
  • Observability
  • Deployment
  • Prototyping

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