Huzzle Ltd Logo

Huzzle Ltd

Head of GTM Engineering (AI Systems)

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Senior level
Remote
Hiring Remotely in United Kingdom
Senior level
Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.
The summary above was generated by AI
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 ResponsibilitiesAI 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

Requirements

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

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

Similar Jobs

An Hour Ago
Remote or Hybrid
Senior level
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead data science initiatives for Risk and Support Operations by analyzing customer and product data, defining metrics, forecasting demand, evaluating experiments and risk policies, and building decision frameworks. Use AI tools and agent workflows to improve analytical efficiency. Partner with product, engineering, and risk teams, communicate insights to senior stakeholders, establish technical standards, mentor data scientists, and support hiring.
Top Skills: Agent WorkflowsAi ToolsData VisualizationExperimentationForecastingSQL
An Hour Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Leads quota, capacity, and headcount planning across Block’s commercial sales organizations. Builds scalable planning methodologies, systems, data, governance, and processes; owns quota-setting and hiring models; conducts scenario planning; and advises Sales and Finance executives on growth investments. Partners with Compensation Design, Recruiting, Strategy, and Operations to align assumptions, incentives, role mix, hiring timing, productive capacity, and performance management across direct, channel, advertising, media, and account management motions.
Top Skills: LookerPigmentSalesforceSnowflake
An Hour Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.
Top Skills: Amazon S3Apache IcebergAWSClaudeCursorDbtDistributed Query EnginesDockerEmbeddingsGithub CopilotHybrid RetrievalKnowledge GraphsLanggraphMcpOpentelemetryPythonSQLTemporalVector Search

What you need to know about the Edinburgh Tech Scene

From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account