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Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation and publication, with clear SLAs for freshness, coverage and quality
Lead the ML roadmap for catalogue intelligence: category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings and recommendations
Lead large cross-team projects and drive them to production
Contribute to quarterly planning and roadmap definition; define and report OKRs for catalogue quality and personalisation
Review feature designs and ensure non-functional requirements are met, including ML evaluation, inference cost, latency and data residency
Build and maintain the evaluation and labeling infrastructure that lets the team measure every model change before it reaches production
Oversee technical debt management and incident handling across ML and backend services
Hire, evaluate, and motivate team members; grow ML engineers into owners of business outcomes
Build cross-team and cross-functional collaboration with Shopping, Offers, Monetisation, catalogue operations and partner support to increase efficiency
Foster a results- and business-oriented culture
Monitor key team performance indicators
Ensure process and delivery transparency for stakeholders and partner functions
Optimise processes to improve productivity
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