Online marketplace for licensing and selling beats, sounds and music services
BeatStars runs a music licensing marketplace on a polyglot backend (Go, Java, C#, Python) across AWS ECS, RDS, DynamoDB and SQS, with React, Angular and React Native clients. A parallel ML toolchain (PyTorch, TensorFlow, JAX, plus GPU capacity on RunPod and GCP) points to in-house audio AI work. Hiring is accelerating and entirely lead-level engineering, focused on auditing legacy systems and standardizing backend practices.
BeatStars is a privately held music marketplace founded in 2008 and headquartered in Austin, Texas. Producers, recording artists, engineers and other creators use it to license and sell beats, songs, sound kits and services, either through the central marketplace or their own customizable storefront pages. The platform includes search, embedded media playback, seller analytics and free educational content on music entrepreneurship. The company employs 51–200 people and ships web, iOS and Android apps.
BeatStars uses React, Angular and React Native on the front end, Go, Java, C# and Python on the backend, and AWS services including ECS, RDS, DynamoDB and SQS, plus GraphQL and Docker.
Yes. Its stack includes PyTorch, TensorFlow and JAX, with compute on RunPod and GCP alongside its core AWS infrastructure.
Yes. Current hiring is accelerating and concentrated in engineering, mostly lead-level roles based in the United States, tied to backend standardization and tech-debt reduction.
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BeatStars'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 →
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