Solutions Architect - Langfuse

Stack

Responsibilities

• ▹Lead technical evaluations with AI engineering teams, from architecture review through POC to production deployment
• ▹Engage with data engineers, ML engineers, and platform architects to map their LLM application stack, trace volumes, and query patterns to ClickHouse | Langfuse capabilities
• ▹Design and deliver reference implementations, schema designs, and ingestion patterns for LLM trace data at scale
• ▹Source and qualify pipeline through ecosystem relationships and community engagement
• ▹Partner with ClickHouse AEs to progress and close opportunities in the AI/LLM observability segment
• ▹Advocate internally for product improvements and integration enhancements
• ▹Serve as ClickHouse's primary technical voice in the Langfuse community (forums, GitHub, events)
• ▹Build relationships with the Langfuse core team and ecosystem partners for joint GTM and integration opportunities
• ▹Create technical content — blog posts, tutorials, reference architectures, and demo environments

Requirements

• ▹Hands-on experience in the LLM observability or AI monitoring space, as a vendor or as a practitioner running LLM applications in production
• ▹Technical depth in the modern AI stack: prompt engineering, RAG architectures, evaluation frameworks, token economics
• ▹Customer-facing experience: pre-sales, solutions engineering, developer advocacy, or technical account management
• ▹Strong foundation in data infrastructure: analytical databases, distributed systems, cloud infrastructure
• ▹Open source orientation, contributing authentically rather than just promoting

Nice to have

• ▹Familiarity with ClickHouse, Postgres, or other columnar databases

Soft skills

About the company

ClickHouse recently acquired Langfuse, the leading open source LLM observability platform, making it a core part of the ClickHouse product stack — pairing real-time, high-performance analytics infrastructure with best-in-class LLM tracing, evaluation, and observability tooling.