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Senior Product Engineer (Growth)

Langfuse · Europe

€90k–160k/yr Hybrid Senior
ObservabilityDockerTypeScriptGoPythonKubernetesCI/CDAWSGCP

ABOUT LANGFUSE Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/0/82383757e54352130f65066e1b2fc4708aacab7897561bcb8000fe4c8a9c6a21?cache_buster=1761124921, product https://tracking.us.nylas.com/l/6d586a21a6fc4e1a8aacc7eb75882b72/1/b9fba3a93b6ffcc0f99ecda62767a17cc437fe8fe0b16181d1c43c1391212e3d?cache_buster=1761124921). We are now part of ClickHouse. We're building the "Datadog" of this category; model capabilities continue to improve, but building useful applications is really hard, both in startups and enterprises. Largest open source solution in this category: trusted by 19 of the Fortune 50, >2k customers, >26M monthly SDK downloads, >6M Docker pulls. We joined ClickHouse in January 2026 because LLM observability is fundamentally a data problem and Langfuse already ran on ClickHouse. Together we can move faster on product while staying true to open source and self-hosting, and join forces on GTM and sales to accelerate revenue. Previously backed by Y Combinator, Lightspeed, and General Catalyst. We're a small, engineering-heavy, and experienced team in Berlin and San Francisco. We are also hiring for engineering in EU timezones and expect one week per month in our Berlin office (how we work https://langfuse.com/handbook/how-we-work/principles). WHY GROWTH ENGINEERING AT LANGFUSE Your work will have an outsized impact. Langfuse is growing on an exponential curve while we are adding more users. Our existing users also increase their token use and build more LLM based applications and features. We sit at the center and enable our users to build LLM applications faster, more reliably and safer. It’s your chance to jump on the curve and increase its slope directly through any wild ideas you have. Be at the forefront of agentic development and show the world how to use Langfuse to develop even faster

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