Solutions Architect - Langfuse

AI applications are being built faster than teams can monitor, debug, or trust them. ClickHouse recently acquired Langfuse — the leading open source LLM observability platform — making it a core part of the ClickHouse product stack. Together, ClickHouse and Langfuse offer engineering teams the most powerful combination in the market: real-time, high-performance analytics infrastructure paired with best-in-class LLM tracing, evaluation, and observability tooling. This role sits at the center of that combined story. We're looking for a Langfuse Solutions Architect who is already embedded in the AI observability ecosystem — someone who understands how engineering teams instrument and evaluate LLM applications, and can credibly represent the full ClickHouse + Langfuse platform to the teams that need it most. This is not a generalist SA role. You'll be our dedicated technical presence in the LLM observability space — opening doors through the Langfuse community, deepening relationships with AI engineering teams, and helping them get the most out of a platform that now spans from raw data infrastructure to production LLM monitoring. You'll work at the intersection of community, pre-sales, and technical advisory, and you'll be the person who makes the ClickHouse + Langfuse stack the obvious choice for teams building serious AI applications.

Responsibilities

Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store; Engage directly with data engineers, ML engineers, and platform architects to understand their LLM application stack, trace volumes, evaluation workflows, and query patterns; Work across all levels of customer organizations; Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale; Source and qualify pipeline directly through ecosystem relationships and community engagement; Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM observability segment; Advocate internally for product improvements and integration enhancements; Serve as ClickHouse's primary technical voice in the Langfuse community; Develop relationships with the Langfuse core team and ecosystem partners; Create technical content — blog posts, tutorials, reference architectures, and demo environments

Requirements

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; Technical depth in the modern AI stack — comfortable discussing prompt engineering, RAG architectures, evaluation frameworks, token economics, and the data infrastructure that supports them; Customer-facing experience — pre-sales, solutions engineering, developer advocacy, or technical account management; Strong foundation in data infrastructure — experience with analytical databases, distributed systems, and cloud infrastructure; Open source orientation — understanding how open source communities work, how developer trust is earned, and how to contribute authentically

Nice to have

Familiarity with ClickHouse, Postgres, or columnar databases

Benefits

Flexible work environment; Healthcare - Employer contributions towards your healthcare; Equity in the company - Every new team member who joins our company receives stock options; Time off - Flexible time off in the US, generous entitlement in other countries; $500 Home office setup if you're a remote employee; Global Gatherings – opportunities to engage with colleagues at company-wide offsites