Solutions Architect (Langfuse)

Join ClickHouse, a leading open-source analytical database, as a Solutions Architect specializing in Langfuse. In this role, you will be the technical presence in the LLM observability space, engaging with AI engineering teams and helping them maximize the ClickHouse + Langfuse platform. You will lead technical evaluations, design reference implementations, and advocate for product improvements. This is a remote-friendly position with flexible work hours and various benefits, including healthcare contributions, equity in the company, and opportunities for global gatherings.

• Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment.
• Engage directly with data engineers, ML engineers, and platform architects to understand their LLM application stack, trace volumes, evaluation workflows, and query patterns — and map those requirements to ClickHouse | Langfuse capabilities.
• Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale.
• Hands-on experience in the LLM observability or AI monitoring space — whether at a vendor or as a practitioner building and operating LLM applications in production
• Customer-facing experience — pre-sales, solutions engineering, developer advocacy, or technical account management. You've navigated technical conversations with real stakes and know how to build trust with engineering teams
• Open source orientation — you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote
• Technical depth in the modern AI stack — you're comfortable discussing prompt engineering, RAG architectures, evaluation frameworks, token economics, and the data infrastructure that supports them
• Strong foundation in data infrastructure — experience with analytical databases, distributed systems, and cloud infrastructure. Familiarity with ClickHouse, Postgres, or columnar databases is a strong plus