Social fantasy sports and picks app for fans across mobile and web
Sleeper runs a social sports app for fans, built on a polyglot backend (Go, Python, Node.js, Elixir, Java) with Kafka, RabbitMQ and Pub/Sub messaging across AWS and GCP. AI media tools like Runway, Midjourney and ElevenLabs point to a push toward AI-generated short-form content. Lifecycle marketing is being built from scratch in Braze, while accelerating hiring tilts toward engineering, design and marketing.
Sleeper is a privately held company founded in 2014 and headquartered in Las Vegas, Nevada. It builds a social app where sports fans play fantasy sports, chat and follow games together with friends. The product spans iOS, Android, web and tablet, built with React Native, React, Next.js, TypeScript and GraphQL. The company employs 51–200 people and hires in the United States and Canada.
Sleeper uses Go, Python, Node.js, Elixir and Java on the backend, Kafka, RabbitMQ and Pub/Sub for messaging, AWS and GCP with Docker and Kubernetes, and React, Next.js, React Native and GraphQL on the frontend.
Yes. Hiring is accelerating across engineering, design, marketing, support and research, with most openings at senior level, in the United States and Canada.
Sleeper is developing its core picks systems, an AI-generated short-form content pipeline, a Braze-based lifecycle program, and product experiences across iOS, Android, web and tablet.
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Sleeper'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.