ClickHouse
AI workloads, real-time analytics, data warehousing, observability
SolutionsArchitect-LangFuseAPJ
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Solutions Architect - LangFuse APJ at ClickHouse. Skills: LLM observability, AI monitoring, technical advisory, community engagement, data infrastructure. 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 — and map those requirements to ClickHouse capabilities”
What You'll Achieve.
make the ClickHouse + Langfuse stack the obvious choice for teams building serious AI applications; open doors, not just walk through them
Industry & Context.
What They're Looking For.
Must Have
Hands-on experience in the LLM observability or AI monitoring space, Technical depth in the modern AI stack, Customer-facing experience — pre-sales, solutions engineering, developer advocacy, or technical account management, foundation in data infrastructure — experience with analytical databases, distributed systems, and cloud infrastructure, Open source orientation — you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote
Nice to Have
Familiarity with ClickHouse, Postgres, or columnar databases is a plus
What You'll Do.
Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store
Engage directly with data engineers
and platform architects to understand their LLM application stack
and query patterns — and map those requirements to ClickHouse capabilities
Work across all levels of customer organizations
from individual contributors building LLM pipelines to CTOs making infrastructure decisions
Design and deliver reference implementations
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 application segment
Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse + Langfuse story
Serve as ClickHouse's primary technical voice in the Langfuse community — contributing to forums
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
reference architectures
and demo environments — that showcases ClickHouse as the analytics backbone for LLM observability workloads
How You'll Work.
Team & Collaboration
Partner with ClickHouse AEs to progress and close opportunities; Develop relationships with the Langfuse core team and ecosystem partners
Communication Scope
technical conversations
Full Job Description
About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! 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. 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 intersectio
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