Huzzle

Head of GTM Engineering (AI Systems)

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C-Level / ManagerZdalnieFull-time

#325648·Dodano 6 miesięcy temu·2

Źródło: Huzzle

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Tech Stack / Keywords

AIGoArchitectureBackendPython JavaScript TypeScriptTesting

Firma i stanowisko

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.

Wymagania

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

Obowiązki

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

Benefity

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 — matched with options that fit goals

Huzzle

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