Architect and implement marketing automation workflows using tools like Customer.io, Make.com, or HubSpot with AI agent triggers
Integrate AI agents to support lifecycle touchpoints from lead capture and email composition to campaign reporting and churn prediction
Build and maintain intelligent workflows across paid, organic, and lifecycle channels
Help prototype and deploy lightweight internal AI agents using frameworks like LangChain, CrewAI, or Autogen
Define data flows and context windows that allow agents to act intelligently across CRM, analytics, support, and campaign data
Connect AI agents to company tools
Set up and manage marketing event tracking across all surfaces
Own end-to-end attribution, funnel tracking, and customer journey analysis
Build dashboards and reports that support fast experimentation and insight-driven decisions
Extend and customise CRM, CMS, landing page tools, and campaign platforms
Create internal tools and helper scripts in Python or Node.js to automate workflows and reduce manual effort for go-to-market teams
Maintain and evolve API, webhook, and data pipeline integrations across all marketing systems
Work closely with Product, Engineering, and Growth to ensure AI agents and automations have the right access, triggers, and feedback loops
Act as the internal champion for automation-first thinking across departments
Help define the roadmap for broader AI agent rollout to other functions

2–3 years’ experience in MarTech, automation, or technical growth roles.
Strong knowledge of CRM customisation and automation workflows.
Experience working with APIs, event tracking, and data pipelines.
Strong interest or experience in AI tools, agent architecture, or prompt engineering
Passion for optimisation, scalability, and measurable results.
Excellent problem-solving skills and the ability to work cross-functionally in a fast-moving environment.

MarTech Engineer – AI & Automation

Key skills