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’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture. This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages. You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. 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

About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. 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. Role Type: Full-time Engagement: Independent Contractor Hours: US Timezone Job Summary We are hiring a GTM Engineer (Go-To-Market Engineer) to build, launch, and optimize high-performance outbound campaigns for SaaS clients. This is a hands-on, execution-heavy role ideal for someone who thrives in a startup environment, enjoys experimenting with cutting-edge tools, and wants to directly impact pipeline generation. You’ll work closely with leadership and clients to translate buying signals into scalable outbound systems that drive measurable revenue outcomes. Key Responsibilities - Build and launch outbound campaigns using Clay, SmartLead, HeyReach, and automation tools - Use Claude (AI) to generate, test, and optimize outbound messaging at scale - Turn real-time buying signals into highly targeted prospecting workflows - Build automated GTM systems using tools like n8n and APIs - Continuously test, iterate, and optimize sequences for conversion - Improve campaign speed, efficiency, and scalability - Track performance through CRM attribution and optimize for pipeline outcomes - Key KPIs: - 📊 Campaigns launched per day, week, and month - ⚡ Time-to-launch for new campaigns (speed + efficiency) - 📈 Campaign performance and pipeline contribution

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’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture. This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages. You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. 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

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’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture. This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages. You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. 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