Zapp operates a 24/7 convenience delivery platform in London with a product-driven hiring mix tilted heavily toward product (8 roles) and leadership (9 director/exec roles), suggesting a company scaling operations and supply-chain complexity in parallel. The tech stack spans mobile-first development (iOS, React Native, Expo, Android), real-time logistics (location tracking, inventory), and data/AI infrastructure (BigQuery, Airflow, Vertex AI, dbt, Looker)—a shape consistent with the operational challenges they're publicly tackling: inventory freshness, delivery tracking latency, and hyper-growth logistics scaling.
Notable leadership hires: Pricing Director
Zapp is a London-based on-demand convenience retailer founded in 2020, delivering a curated range of premium and everyday products within minutes via iOS and Android apps. The company positions itself in the premium segment of convenience retail, targeting customers willing to pay for speed and product selection. Operations are UK-focused, with hiring concentrated in London. The product spans consumer-facing mobile experiences, real-time fulfillment systems, and a developing retail media offering. Core operational challenges include maintaining real-time inventory across micro-fulfillment centers, optimizing supplier negotiations, and managing the logistics complexity of sub-minute delivery.
Mobile: iOS, Android, React Native, Expo. Backend: Node.js, NestJS, TypeScript, GraphQL. Data: BigQuery, dbt, Apache Airflow, Vertex AI. Analytics: Mixpanel, Amplitude, Looker, Lightdash. Marketing: Braze, Klaviyo, Iterable. Infrastructure: GCP, AWS, Azure.
London, United Kingdom. All current hiring is UK-based, with the company operating exclusively in London.
Zapp's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.