Direct-to-consumer wine marketplace with independent winemakers
Naked Wines operates a D2C wine platform connecting customers to independent producers, built on Python + SQL with Looker analytics and A/B testing via Optimizely and VWO. The hiring mix reveals a data-forward organization: 3 of 9 active roles are data-focused, paired with projects around demand forecasting, production pipelines, and promotion modeling — suggesting the business is moving beyond transactional wine discovery into predictive inventory and retention mechanics.
Naked Wines is a UK-based public company that sells wine directly to consumers while guaranteeing fair pricing to independent winemakers. The model combines a curated discovery experience with a flexible subscription mechanism (no tie-ins, no time limits, money-back guarantee on unsatisfactory bottles). The company operates across design, data, logistics, and product teams, with active development on design systems, customer lifecycle programs, and demand forecasting. Recent hiring velocity is accelerating, with positions in both the UK and US.
Python, SQL, Looker for analytics, Optimizely and VWO for A/B testing, Figma and Adobe XD for design, Google Workspace and Microsoft Office for productivity.
Demand forecasting and production pipeline models, design system development, retention programs, wine discovery UX improvements, promotion impact modeling, and annual buy planning.
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