Student affinity network connecting 23M+ verified members with 850+ brands
UNiDAYS operates a membership platform bridging Gen Z students and graduates with major consumer brands across 113 markets. The tech stack—Salesforce, React/Next.js, Redshift, BigQuery, dbt, Fivetran—reflects a dual-track architecture: a consumer-facing marketplace (TypeScript/React) paired with a data warehouse built for campaign analytics and cohort management. Active projects around identity modernization, verification migration to cloud, and data warehouse rebuild signal infrastructure-heavy work; simultaneously, hiring momentum across engineering, data, and design suggests scaling both product and analytics capabilities.
Notable leadership hires: Studio Lead
UNiDAYS is a student membership and marketplace platform founded in 2011 and headquartered in London, with offices in New York and Sydney. The company operates across 113 markets with over 23 million verified student and graduate members. The business model centers on connecting brands (Apple, Amazon, Nike, adidas, Microsoft, and 844 others) with young consumers through exclusive offers, learning experiences, and retail integrations. Since 2018, members have transacted over $5 billion through the network. The organization employs over 250 staff and is actively hiring across engineering, data, design, and go-to-market functions.
Core platform: Salesforce, TypeScript, React, Next.js. Data layer: Redshift, BigQuery, dbt, Fivetran, Apache Airflow. Analytics: Tableau, Power BI, Looker. QA: Jest, Cypress, Playwright. Infrastructure: AWS. Design: Figma.
Priority initiatives: next-generation marketplace product, identity product modernization and cloud migration, verification services expansion, data warehouse rebuild, and optimization/personalization experiments. Also building performance reporting and data quality frameworks.
UNiDAYS'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.