Own the product vision, roadmap, and execution for AI-powered tools within MarTech, starting with creative operations such as asset (static and video) generation, tagging, versioning, and QA
Build and scale autonomous or semi-autonomous agents to support localisation, campaign setup, QA, trend analysis, reporting, and more
Act as the team’s thought leader in AI design patterns for marketing and product operations
Partner with developers, data engineers, and creative stakeholders to embed AI into everyday workflows
Collaborate with paid marketing, CRM, and Organic squads to identify automation opportunities and redesign existing processes
Define experiments and MVPs to test and validate AI applications before scaling
Lead prompt engineering, tool selection, fine-tuning, and guide engineering handover for productionisation
Drive adoption through internal demos, workshops, and clear documentation
Ensure all AI solutions comply with internal governance and ethical standards, including explainability, auditability, and human-in-the-loop where necessary
Requirements
Hands-on AI practitioner: built or product managed agentic solutions using frameworks like LangChain, OpenAI Functions, Claude, or ReAct
Proven Product Owner: write user stories, prioritise backlogs, and deliver tools in an agile, iterative environment
Marketing-aware: understand fundamentals of creative production, CRM, or paid media operations
Design-focused: able to map and analyse processes to identify where AI can improve outcomes
Clear communicator: explain technical concepts to non-technical audiences and influence cross-functional stakeholders
Nice to have: experience in growth, ad operations, or lifecycle marketing
Nice to have: familiarity with CMS, DAM, CDP, CRM and equivalent MarTech infrastructure
Nice to have: knowledge of vector databases, embeddings, or retrieval-augmented generation (RAG)