DICE operates a ticketing platform for live music and entertainment events, built on Elixir and Phoenix with GraphQL APIs and Kubernetes infrastructure. The tech stack emphasizes functional programming languages (Elixir, Erlang, Haskell) alongside modern mobile development (Kotlin, Jetpack), suggesting engineering maturity in both backend reliability and native app experience. Hiring is heavily skewed toward sales (9 of 13 active roles), with a focus on onboarding and sales operations refinement—a clear signal the company is scaling go-to-market coverage across new geographies while addressing internal process friction.
Notable leadership hires: Sales Lead
DICE is a ticketing platform that connects fans with live events ranging from major festivals to emerging artist showcases. Founded in 2014 and headquartered in London, the company operates across the UK, US, France, and Italy, with active expansion into Mexico. The platform uses algorithmic discovery to surface events to users and handles the end-to-end ticketing flow from event discovery through transaction. Current operational priorities center on geographic expansion, partner onboarding workflows, and sales operations efficiency—reflecting both growth ambitions and internal scaling challenges.
DICE builds on Elixir and Phoenix for backend APIs (GraphQL), PostgreSQL for data, and Kubernetes for orchestration. Mobile apps use Kotlin and Jetpack (Compose, WorkManager, Hilt). Operational tools include Salesforce, Jira, Figma, and localization platforms (Crowdin, Lokalise, Smartling).
DICE recruits across the United Kingdom, United States, France, and Italy, with ongoing expansion into Mexico.
DICE'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.