Head of GTM Engineering (AI Systems) job opportunity at Huzzle.

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Date2026-04-06T14:55:00.427Z bot
Huzzle Head of GTM Engineering (AI Systems)
Experience: General
Pattern: Full-time
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degreeGeneral
Poland
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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, 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 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

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