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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.
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.
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.
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
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
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
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
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
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
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Huzzle is an AI-driven talent platform that connects top remote professionals in sales, ops, marketing, and engineering with companies across the UK, US, Canada, Europe, and Australia. It handles the full hiring lifecycle including sourcing, vetting, payroll, and compliance.
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