ClickHouse

ClickHouse

Solutions Architect - Langfuse

San Francisco, CA

Sponsorship not specified$225k-$275kDetected 72 days ago
Distributed SystemsGitPostgreSQLMachine LearningLLMsRAGLLMOps

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.

Responsibilities

  • Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment
  • 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
  • Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM observability segment
  • 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
  • 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

Requirements

  • Customer-facing experience - pre-sales, solutions engineering, developer advocacy, or technical account management.
  • If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
  • 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

Nice to have

  • 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

Skills

  • About ClickHouse
  • Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.
  • The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round.

Compensation

  • The typical starting salary for this role in the US is

Benefits

  • 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.
  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
  • A $500 Home office setup if you're a remote employee.

Company info

  • 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.

Equal opportunity

  • Equal Opportunity & Privacy

This listing is sourced directly from ClickHouse's careers page and normalized into a canonical job model.