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• 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