Own AI product opportunities from discovery through experimentation, development, testing, implementation, and adoption. Translate user and business needs into product requirements, priorities, milestones, and decisions. Coordinate developers, R&D colleagues, and stakeholders, manage risks and dependencies, gather feedback, and drive practical, scalable solutions. The role requires product or project management experience, AI fluency including LLMs, APIs, prompt engineering, and RAG, strong communication, prioritization, and comfort working in ambiguous, fast-moving environments.

Build and prototype AI-enabled tools, features, and workflows using Python, APIs, LLMs, RAG, vector embeddings, MCP, and agentic pipelines. Test emerging technologies, integrate AI models with data sources and services, debug experiments, and help transition successful prototypes into scalable production solutions. Collaborate with product and R&D teams while evaluating technical feasibility, performance, and user value.

Leads end-to-end AI-powered insight and market research programmes for major client accounts. Responsibilities include shaping briefs, advising clients, managing scopes, budgets, timelines and resources, supporting pitches, leading consultants, and improving research delivery through AI-enabled tools. The role requires commercial research expertise, strong client leadership, organizational skills, and curiosity about emerging AI technologies.