• Contributes to solution roadmaps which clearly articulate the solution vision and strategy to enable executive buy-in • Ensure output quality against defined tasks and activities • Define concepts of short-term and long-term planning • Supports product delivery with timely execution of metrics and other information • Research and compiles information from documented sources on objectives and goals which may impact requirements • Document requirements including customer journey, features, user stories, cross team dependencies, separating core product build vs. integration features, outlining what is in and out of scope • Contribute to day-to-day working relationships building with stakeholders • Document stakeholder communication needs • Ensure development team has what they need to execute on our product priorities • Ensure that client service and sales have what they need to drive revenue and retain our current clients • Lead and present certain agile development ceremonies

• Ship AI-powered features to production: conversational AI (chatbots, copilots), intelligent onboarding, smart trading assistants, automated compliance workflows • Lead cross-functional squads of ML engineers, data scientists, designers, and backend engineers to deliver AI products end-to-end • Evaluate and integrate LLM/GenAI capabilities (GPT, Claude, open-source models) into product experiences — balancing innovation speed with safety and compliance • Build the internal AI enablement playbook: drive adoption of AI tools across product, engineering, and operations teams • Define success metrics for AI features (engagement lift, cost reduction, resolution rate, NPS) and run rigorous A/B tests • Manage vendor relationships for AI/ML infrastructure, annotation, and model providers • Report to senior leadership on AI transformation progress, ROI, and strategic direction

• Own and evolve our Sponsored Products ecosystem, including auction mechanics, bidding logic, and relevance models to continuously improve performance and ad quality • Drive the development of retail media data products, such as first-party audience segments, attribution models, and measurement frameworks in collaboration with Data & AI teams • Shape the advertiser self-service platform, enabling seamless campaign creation, optimisation, and reporting for both marketplace sellers and programmatic buyers • Build and scale experimentation frameworks, including A/B testing, incrementality testing, and platform intelligence, to unlock continuous learning and revenue growth • Partner cross-functionally with Retail Media, Marketing, and Category teams to align product development with business needs and maximise commercial impact

• Own and evolve our Sponsored Products ecosystem, including auction mechanics, bidding logic, and relevance models to continuously improve performance and ad quality • Drive the development of retail media data products, such as first-party audience segments, attribution models, and measurement frameworks in collaboration with Data & AI teams • Shape the advertiser self-service platform, enabling seamless campaign creation, optimisation, and reporting for both marketplace sellers and programmatic buyers • Build and scale experimentation frameworks, including A/B testing, incrementality testing, and platform intelligence, to unlock continuous learning and revenue growth • Partner cross-functionally with Retail Media, Marketing, and Category teams to align product development with business needs and maximise commercial impact