Langfuse is an open‑source observability platform that enables teams to develop, monitor, evaluate, and debug large language model (LLM) applications. It offers SDKs for Python and JavaScript, a unified dashboard, and tools for prompt management, automated testing, and human‑in‑the‑loop annotation, allowing developers and product managers to track cost, latency, and user feedback. The platform is self‑hosted in minutes and already trusted by thousands of users, from YC startups to enterprises such as Khan Academy and Twilio, for its reliability and performance. Langfuse’s distinctive value lies in its tight integration with popular LLM frameworks (OpenAI, LangChain, Llama‑Index, Vercel AI SDK) and its community‑driven open‑source ecosystem that fuels rapid iteration and continuous improvement.
Product Engineer (Growth) at Langfuse. We're a small, engineering-heavy team in Berlin and San Francisco building the 'Datadog' of open-source LLM engineering platforms. Our product helps teams build useful AI applications via tracing, evaluation, and prompt management. We're looking for a full-stack developer to join our growth engineering team and drive user growth through product lead growth.
Langfuse is an open‑source observability platform that enables teams to develop, monitor, evaluate, and debug large language model (LLM) applications. It offers SDKs for Python and JavaScript, a unified dashboard, and tools for prompt management, automated testing, and human‑in‑the‑loop annotation, allowing developers and product managers to track cost, latency, and user feedback. The platform is self‑hosted in minutes and already trusted by thousands of users, from YC startups to enterprises such as Khan Academy and Twilio, for its reliability and performance. Langfuse’s distinctive value lies in its tight integration with popular LLM frameworks (OpenAI, LangChain, Llama‑Index, Vercel AI SDK) and its community‑driven open‑source ecosystem that fuels rapid iteration and continuous improvement.