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.
We are hiring a Developer Relations Engineer who can understand Langfuse deeply, use the product hands-on, and explain it better than anyone else. This is a technical product advocacy role. You will write, build demos, improve docs, create launch content, speak at events, organize technical sessions, run product deep dives, explain how AI teams should think about observability/evals/prompt management, and help define how Langfuse shows up in the market.
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.
Langfuse