Solutions Architect - LangFuse EMEA

Details

ClickHouse is growing rapidly and recently acquired Langfuse — an open source LLM observability platform — making it a core part of the ClickHouse product stack. This role sits at the center of that combined story: representing ClickHouse + Langfuse to engineering teams building LLM applications and helping them instrument, evaluate, and operate those systems at scale.

Location: United Kingdom, Germany, Netherlands (EMEA). ClickHouse is remote-friendly and operates in over 20 countries.

Responsibilities

Pre-Sales & Technical Advisory

• 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 LLM application stacks, trace volumes, evaluation workflows, and query patterns, and map those requirements to ClickHouse capabilities
• Work across organizational levels, from individual contributors building LLM pipelines to CTOs making infrastructure decisions
• Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale

Pipeline & Revenue Contribution

• Source and qualify pipeline through ecosystem relationships and community engagement
• Partner with ClickHouse Account Executives to progress and close opportunities within AI and LLM application segments
• Advocate internally for product improvements and integrations that strengthen the ClickHouse + Langfuse story

Ecosystem & Community Presence

• Serve as ClickHouse's primary technical voice in the Langfuse community: contribute to forums, engage on GitHub, participate in events, and build credibility with AI engineers and developers
• Develop relationships with the Langfuse core team and ecosystem partners to identify joint GTM opportunities and integration improvements
• Create technical content — blog posts, tutorials, reference architectures, and demo environments — that showcase ClickHouse as the analytics backbone for LLM observability workloads

Requirements

• Hands-on experience in the LLM observability or AI monitoring space, either at a vendor or as a practitioner building and operating LLM applications in production
• Technical depth in the modern AI stack: familiarity with 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) with the ability to navigate technical conversations and build trust with engineering teams
• Strong foundation in data infrastructure: experience with analytical databases, distributed systems, and cloud infrastructure. Familiarity with ClickHouse, Postgres, or other columnar databases is a strong plus
• Open source orientation and community experience: understanding how open source communities work and how to contribute authentically rather than just promote

Compensation

• Typical starting salary for roles based in the United States: $200,000 - $250,000 USD
• Typical starting salary for roles in US Premium Markets (e.g., San Francisco Bay Area, New York City Metro): $230,000 - $280,000 USD

These ranges reflect what ClickHouse believes to be the minimum and maximum pay for this role at the time of posting. Actual compensation may be higher or lower depending on experience, qualifications, location, and other factors.

Perks

• Flexible work environment — ClickHouse is globally distributed and remote-friendly
• Employer contributions towards healthcare
• Equity in the company (stock options)
• Flexible time off in the US and generous entitlement in other countries
• $500 home office setup for remote employees
• Global gatherings and company-wide offsites

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities and prohibits discrimination. See the ClickHouse applicant privacy notice for more information.