Solutions Architect - Langfuse

ClickHouse; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare contributions

Equity

Flexible time off

Remote home office allowance

Global gatherings

Job summary

ClickHouse is seeking a dedicated technical advisor for LLM observability and AI monitoring. You’ll lead evaluations with engineering teams, map requirements to ClickHouse Langfuse capabilities, and craft reference implementations that scale LLM trace data.

You will engage with data and platform engineers, collaborate with pre-sales, and contribute to the ecosystem through tutorials and demos. This role emphasizes a deep AI stack, open source collaboration, and scalable analytics.

Qualifications

• Hands-on experience in the LLM observability or AI monitoring space.
• Technical depth in the modern AI stack, including prompt engineering and RAG architectures.
• Customer-facing experience in pre-sales, solutions engineering, or technical account management.
• Strong foundation in data infrastructure and cloud infrastructure; familiarity with ClickHouse or columnar databases.

Responsibilities

• Lead technical evaluations with AI teams from architecture review through POC and production deployment.
• Engage with data/ML engineers and platform architects to map LLM stack requirements to ClickHouse Langfuse capabilities.
• Design and deliver reference implementations, schemas, and ingestion patterns for LLM trace data at scale.
• Build ecosystem relationships and contribute technical content to showcase the ClickHouse + Langfuse stack.

Skills

LLM observability

AI monitoring

prompt engineering

RAG architectures

data infrastructure

ClickHouse

Job description

About The Role

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.

About The Role

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 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.

What You'll Be Doing

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 their LLM application stack, trace volumes, evaluation workflows, and query patterns — and map those requirements to ClickHouse | Lanfguse capabilities
• Work across all levels of customer organizations, 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 directly through ecosystem relationships and community engagement — this role is expected to open doors, not just walk through them
• Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM observability segment
• Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse + Langfuse story

Ecosystem & Community Presence

• Serve as ClickHouse's primary technical voice in the Langfuse community — contributing to forums, engaging on GitHub, participating in events, and building authentic 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 showcases ClickHouse| Langfuse as the analytics backbone for LLM observability workloads

What You Bring

• 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 — you're 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. You've navigated technical conversations with real stakes and know how to build trust with engineering teams
• 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
• Open source orientation — you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
• 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.
• A USD$500 Home office setup if you’re a remote employee.
• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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