Solutions Architect - LangFuse APJ

at ClickHouse

📍 Australia
📍 India
📍 Singapore, Singapore

USD 200,000-280,000 per year

MIDDLE

✅ Remote

Used Tools & Technologies

Machine Learning PostgreSQL

Required Skills & Competences
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.

GitHub @ 3 Distributed Systems @ 2 Communication @ 6 LLM @ 3 Observability @ 3 AI @ 3 ClickHouse @ 3 RAG @ 3 Prompt Engineering @ 3

Details

ClickHouse is a fast-growing cloud company focused on real-time analytics, data warehousing, observability, and AI workloads. Following the acquisition of Langfuse (an open-source LLM observability platform), this role is the technical center of the combined ClickHouse + Langfuse story. You will be the dedicated technical presence in the LLM observability space for APJ, working across community, pre-sales, and technical advisory to help engineering teams instrument, evaluate, and operate LLM applications at scale.

Responsibilities

Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment
Engage with data engineers, ML engineers, and platform architects to understand LLM application stacks, trace volumes, evaluation workflows, and query patterns; map requirements to ClickHouse capabilities
Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale
Work across customer organizations from individual contributors to CTOs
Source and qualify pipeline through ecosystem relationships and community engagement; partner with Account Executives to progress and close opportunities
Advocate internally for product and integration improvements that strengthen the ClickHouse + Langfuse offering
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
Produce technical content (blog posts, tutorials, reference architectures, demo environments) showcasing ClickHouse as the analytics backbone for LLM observability workloads

Requirements

Hands-on experience in the LLM observability or AI monitoring space — as a vendor or practitioner operating LLM applications in production
Technical depth in the modern AI stack: ability to discuss prompt engineering, RAG architectures, evaluation frameworks, token economics, and supporting data infrastructure
Customer-facing experience (pre-sales, solutions engineering, developer advocacy, or technical account management) with strong communication and trust-building skills
Strong foundation in data infrastructure, including analytical databases and distributed systems; familiarity with ClickHouse, Postgres, or other columnar databases is a strong plus
Open source orientation and experience engaging with developer communities and contributing authentically

Compensation

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

Perks

Flexible work environment; ClickHouse is globally distributed and remote-friendly
Employer contributions toward healthcare
Stock options for new team members
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