Subscription and in-app purchase infrastructure for mobile and web apps
RevenueCat runs subscription monetization infrastructure for app developers across iOS, Android, web and TV platforms like Roku, Fire TV and Vision Pro. Its stack pairs Python/Django, PostgreSQL and Kubernetes on AWS with a Snowflake + dbt data layer and an LLM toolchain (OpenAI, Anthropic, LangChain, Langfuse), consistent with projects in LTV prediction, fraud detection and automated paywall decisions. Hiring skews heavily senior, with a Head of Sales search signaling a GTM build-out.
Notable leadership hires: Head of Sales
RevenueCat provides a platform that lets app developers implement, analyze and grow in-app subscriptions and purchases across iOS, Android and the web. Its SDKs cover native mobile (Swift, SwiftUI, Android SDK) as well as connected-TV and spatial platforms including Roku, Amazon Fire TV and Vision Pro. The company was founded in 2017, is privately held, and is headquartered in Brandon, Florida. It employs 51–200 people and hires in the United States and Japan across engineering, product, marketing, sales, data and design.
RevenueCat uses Python, Django, PostgreSQL, Kubernetes, Docker, Pulumi and AWS, with Snowflake, dbt and LookML for data, plus OpenAI, Anthropic, LangChain and Langfuse for AI work.
Job posts point to LTV prediction, fraud detection, paywall and funnel products, a workflows product, conversion optimization and enhancements to its automated release process.
RevenueCat hires in the United States and Japan, mostly for senior roles across engineering, product, marketing and sales, including a Head of Sales position.
Other companies in the same industry, closest in size
RevenueCat'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.