🛠 Tech Stack

💼 About This Role

You'll be the dedicated technical presence in the LLM observability space, opening doors through the Langfuse community and helping AI engineering teams adopt the ClickHouse + Langfuse platform. You'll work at the intersection of community, pre-sales, and technical advisory, making this stack the obvious choice for teams building serious AI applications.

🎯 What You'll Do

• Lead technical evaluations with AI engineering teams from architecture review to production deployment
• Engage with data engineers, ML engineers, and platform architects on LLM stack and trace volumes
• Design reference implementations optimized for LLM trace data at scale
• Serve as primary technical voice in the Langfuse community through forums, GitHub, and events

📋 Requirements

• Hands-on experience in LLM observability or AI monitoring space
• Technical depth in modern AI stack including RAG architectures and evaluation frameworks
• Customer-facing experience in pre-sales or solutions engineering
• Strong foundation in data infrastructure with analytical databases or distributed systems

✨ Nice to Have

• Familiarity with ClickHouse, Postgres, or columnar databases
• Open source community contribution experience

🎁 Benefits & Perks

• 🏖️ Flexible work environment - globally distributed team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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