Real-time chat, video, and activity feed APIs for global-scale applications
Stream operates a managed backend platform delivering chat, video, activity feeds, and AI moderation APIs to applications at scale. The stack—Go, PostgreSQL, CockroachDB, Redis, WebRTC, plus Kubernetes adoption—reflects infrastructure built for high-concurrency, low-latency real-time systems. Pain-point data reveals the company is actively fighting scaling challenges, churn risk, and low API adoption, while hiring heavily in engineering (9 open roles) and adding compliance capability—a shift toward enterprise-grade operational maturity.
Notable leadership hires: Engineering Director
Stream provides APIs and SDKs for chat, video, audio, activity feeds, and AI-powered moderation, backed by a global edge network. The platform serves application developers who need to embed real-time communication and community features without building from scratch. With 51–200 employees based in Boulder, CO, Stream operates across North America and Europe. Current product roadmap centers on API accessibility (community support, SDK development, onboarding), internal tooling for customers (moderation dashboard, admin panels), and post-sales retention (churn reduction, feature adoption programs). The company is addressing compliance demands (DSA, AI Act) while managing operational complexity at scale.
Go, PostgreSQL, CockroachDB, Redis, WebRTC, Kubernetes, plus AWS/GCP/Azure cloud providers. Supporting languages include Python, JavaScript, Java, Kotlin, and Swift for SDKs.
Headquarters in Boulder, CO. Active hiring in United States, Canada, Peru, Netherlands, and France.
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