We're hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture.

Requirements

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

Benefits

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

Requirements

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

Benefits

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