Solutions Architect - Langfuse

USD 275,000-300,000 per year

MIDDLE SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 ClickHouse @ 3 Distributed Systems @ 6 GitHub LLM @ 3 Machine Learning Observability @ 3 PostgreSQL @ 2 Prompt Engineering @ 3 RAG

Details

ClickHouse is seeking a Langfuse Solutions Architect to serve as its dedicated technical presence in the LLM observability ecosystem. The role combines pre-sales, technical advisory, community engagement, and ecosystem development, representing the combined ClickHouse and Langfuse platform for teams building AI applications.

Responsibilities

Pre-Sales and Technical Advisory

Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from architecture review through proof of concept and production deployment.
Engage with data engineers, ML engineers, and platform architects to understand LLM application stacks, trace volumes, evaluation workflows, and query patterns, and map requirements to ClickHouse and Langfuse capabilities.
Work with customer stakeholders at all 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 and Revenue Contribution

Source and qualify pipeline through ecosystem relationships and community engagement.
Partner with ClickHouse account executives to progress and close opportunities in the AI and LLM observability segment.
Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse and Langfuse offering.

Ecosystem and Community Presence

Serve as ClickHouse's primary technical voice in the Langfuse community by contributing to forums, engaging on GitHub, participating in events, and building credibility with AI engineers and developers.
Develop relationships with the Langfuse core team and ecosystem partners to identify joint go-to-market opportunities and integration improvements.
Create technical content, including blog posts, tutorials, reference architectures, and demo environments, showcasing ClickHouse and Langfuse for LLM observability workloads.

Requirements

Hands-on experience in LLM observability or AI monitoring, either at a vendor or as a practitioner building and operating LLM applications in production.
Technical depth in the modern AI stack, including prompt engineering, retrieval-augmented generation architectures, evaluation frameworks, token economics, and supporting data infrastructure.
Customer-facing experience in pre-sales, solutions engineering, developer advocacy, or technical account management.
Experience navigating technical conversations with engineering teams and building customer trust.
A strong foundation in data infrastructure, including analytical databases, distributed systems, and cloud infrastructure.
Familiarity with ClickHouse, PostgreSQL, or columnar databases is a strong plus.
An open-source orientation and understanding of how developer communities work and how trust is established.

Compensation

The typical starting salary for this role in US premium markets, including the San Francisco Bay Area, is $275,000–$300,000 USD per year. The standard US range is $225,000–$275,000 USD per year.