Resident Advisor, the London-based electronic music publisher and ticketing platform, is hiring a new CTO and CFO at the same time, an executive reset aimed at both engineering and finance. On the tech side it is adopting SwiftUI, GraphQL and Datadog while dealing with legacy code across a mixed .NET/SQL Server and Node.js/PostgreSQL stack. On the finance side, open roles focus on multi-currency treasury, foreign tax compliance and tighter financial controls.
Notable leadership hires: Chief Financial Officer, Chief Technical Officer, Partnerships Lead
Resident Advisor is a London-headquartered music media company founded in 2001, focused on dance and electronic music. It publishes news and journalism, runs club listings and ticketing, and produces branded events, films and a long-running weekly mix series. Its audience is global, and it works with promoters and venues who use the platform to list and sell events. The company has 51–200 employees, is privately held and is a certified B Corp. It is currently hiring in the United Kingdom, Germany and the United States.
Resident Advisor's stack includes Swift, SwiftUI, GraphQL, Node.js, .NET, PostgreSQL, SQL Server, Elasticsearch, Redis, Kafka, Kubernetes on AWS EKS and Terraform. Its data tooling includes dbt, Meltano and Datadog.
Yes. Engineering is its largest hiring area and hiring is accelerating. Openings are mostly senior and lead roles, plus a Chief Technical Officer, with work centred on its iOS and cross-platform apps and on modernising legacy code.
Resident Advisor is headquartered in London and hires in the United Kingdom, Germany and the United States.
Other companies in the same industry, closest in size
Resident Advisor'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.
