Huzzle Ltd Logo

Huzzle Ltd

Head of GTM Engineering (AI Systems)

Reposted 2 Months 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

HQ

Huzzle Ltd London, England Office

London, United Kingdom

Similar Jobs

18 Minutes Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Leads international seller onboarding operations across Europe, the UK, Australia, and APAC. Owns regional execution, staffing, vendor performance, service levels, market readiness, operational scaling, and seller activation outcomes. Develops localized operating models and launch playbooks while maintaining global standards. Uses metrics, dashboards, financial analysis, and AI to improve workflows, cost-to-serve, speed, and quality. Partners with Sales, Product, Finance, Legal, Compliance, and GTM leaders while managing distributed teams and developing regional leadership.
Top Skills: AI
18 Minutes Ago
Remote or Hybrid
Mid level
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own and grow a Toronto sales territory through extensive in-person business visits, prospecting, networking, partnerships, product demonstrations, and full-cycle deal closing. Build pipeline, sell Square’s software and hardware ecosystem to restaurants, retailers, and service businesses, maintain accurate Salesforce records and forecasts, support onboarding, and consistently exceed sales quotas.
Top Skills: Salesforce
6 Hours Ago
Easy Apply
Remote
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.
Top Skills: ArgocdAWSAzureBashCiliumCrossplaneDnsExternal Secrets OperatorGCPGithub ActionsGitlab CiGitopsGoGrafanaHelmIngressIstioKubernetesKyvernoLinkerdLoad BalancingLokiOpa/GatekeeperOpentelemetryPrometheusPythonSealed SecretsService MeshTektonTerraformVault

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account