🛠 Tech Stack

💼 About This Role

You'll serve as the dedicated technical presence in the LLM observability space, working at the intersection of community, pre-sales, and technical advisory. You'll help AI engineering teams get the most out of the ClickHouse + LangFuse platform, opening doors through the community and deepening relationships. This role is your chance to make the combined stack the obvious choice for teams building serious AI applications.

🎯 What You'll Do

• Lead technical evaluations with AI engineering teams considering ClickHouse for observability data
• Engage with data engineers, ML engineers, and platform architects to map requirements to ClickHouse capabilities
• Design reference implementations and ingestion patterns optimized for LLM trace data at scale
• Source and qualify pipeline through ecosystem relationships and community engagement

📋 Requirements

• Hands-on experience in LLM observability or AI monitoring space
• Technical depth in modern AI stack (prompt engineering, RAG, evaluation frameworks)
• Customer-facing experience in pre-sales, solutions engineering, or developer advocacy
• Strong foundation in data infrastructure and analytical databases

✨ Nice to Have

• Familiarity with ClickHouse, Postgres, or columnar databases
• Experience contributing to open source communities

🎁 Benefits & Perks

• 🏖️ Flexible work environment - globally distributed team

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min