Related skills
analytics cloud infrastructure postgresql pre-sales clickhouseπ Description
- Lead technical evaluations with AI teams for ClickHouse as the observability store
- Engage data/ML engineers to map LLM stacks to ClickHouse capabilities
- Collaborate with engineers, data scientists, and CTOs to drive platform adoption
- Design reference implementations, schemas, and ingestion patterns for LLM trace data
- Open doors through the Langfuse community; deepen AI engineering relationships
- Create technical content and demos showing ClickHouse for LLM workloads
π― Requirements
- Hands-on experience in LLM observability or AI monitoring
- Technical depth in the modern AI stack: prompts, RAG, eval frameworks
- Customer-facing experience in pre-sales, solutions engineering, or SA roles
- Strong data infrastructure background: analytical databases, distributed systems, cloud infra
- Familiarity with ClickHouse, PostgreSQL, or columnar databases
- Open source oriented; comfortable contributing to communities
π Benefits
- Flexible, remote-friendly work across 20+ countries
- Healthcare with employer contributions
- Equity via stock options
- Flexible time off; generous elsewhere
- 500 home office setup for remote staff
- Global gatherings and offsites
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