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Solutions Architect – Langfuse

clickhouse · San Francisco

New Remote
Remote 🇬🇧 English
LLM observability AI monitoring Prompt engineering Evaluation frameworks Token economics Analytical databases Distributed systems Cloud infrastructure ClickHouse Postgres Columnar databases

Job description

About the role

ClickHouse has acquired Langfuse, the leading open‑source LLM observability platform, and is looking for a dedicated Solutions Architect to champion the combined stack. You will be the technical voice for AI engineering teams, helping them adopt real‑time analytics and LLM monitoring.

Key responsibilities

  • Lead technical evaluations with AI engineering teams, from architecture review through proof‑of‑concept and production deployment.
  • Engage with data engineers, ML engineers, and platform architects to map LLM application requirements to ClickHouse | Langfuse capabilities.
  • Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale.
  • Source and qualify pipeline through ecosystem relationships and partner with ClickHouse account executives to close opportunities.
  • Serve as ClickHouse’s primary technical voice in the Langfuse community, contributing to forums, GitHub, events, and creating technical content such as blog posts and tutorials.

Required profile

  • Hands‑on experience in LLM observability or AI monitoring, either as a vendor or practitioner.
  • Technical depth in the modern AI stack, comfortable discussing prompt engineering, Retrieval‑Augmented Generation, evaluation frameworks, token economics, and supporting data infrastructure.
  • Customer‑facing experience such as pre‑sales, solutions engineering, developer advocacy, or technical account management.
  • Strong foundation in data infrastructure, analytical databases, distributed systems, and cloud environments; familiarity with ClickHouse, Postgres, or columnar databases is a plus.
  • Open‑source orientation and ability to engage authentically with developer communities.

Required skills

  • LLM observability / AI monitoring
  • Prompt engineering, Retrieval‑Augmented Generation (RAG)
  • Evaluation frameworks, token economics
  • Analytical databases, distributed systems, cloud infrastructure
  • ClickHouse, Postgres, columnar databases

What we offer

  • Flexible, remote‑friendly work environment across 25+ countries.
  • Employer‑contributed healthcare benefits.
  • Equity through stock options for every new team member.
  • Generous time‑off policies and a $500 home‑office stipend for remote employees.
  • Global gatherings and off‑site events to foster in‑person connections.
  • Opportunity to shape culture in a rapidly scaling startup.

Questions fréquentes

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Source : ats:ashby

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Published 12 hours ago

Expires 1 month from now

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clickhouse

San Francisco