About

We’re building a next-generation smart refrigerator that automatically identifies and tracks drinks placed in or removed from it. Each fridge logs events to DynamoDB, and we also maintain CSVs and external APIs for product metadata (nutrition, brand, category) and user data (CRM, demographic, sampling programs, etc.) Our goal is to build a data insights platform that unifies these sources and enables insights such as: - “Most popular flavours among users who consumed more than 5 pepsi branded drinks in the past 3 months” - “Trend analysis of brand or variant performance over time” - “Effect of sampling a product on future consumption” We are looking for an experienced engineer to build out out data platform that will makes these insights possible.