Currently tracking 7 active AI roles, up 138% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$300k (avg $221k).
ClickHouse currently has 10 active AI-related job listings. The majority of these roles, 60%, are focused on agents, with evaluation roles making up 20% of the openings. The dominant function for these hires is Engineering. Key technologies frequently mentioned in these listings include rag, vector_db, and model_serving.
ClickHouse currently has 17 active AI-related roles in our index. The most common open titles are: AI Product Engineer - ClickStack (5), Senior Software Engineer - Python and Data Ecosystem (5), Senior Software Engineer (Backend) - AI/ML (2), Senior Software Engineer (Typescript / FrontEnd) - AI/ML (2), Solutions Architect - LangFuse APJ. Most positions are in Engineering and Product.
ClickHouse's active AI hiring is concentrated in: agents (65%), serving infrastructure (18%), evaluation (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ClickHouse is hiring AI talent in: United States (6 roles), United Kingdom (5 roles), Netherlands (5 roles), Israel (5 roles).
Job postings at ClickHouse most frequently reference: rag, agent orchestration, llm observability, model serving, evals.
In the past 30 days, ClickHouse has posted 11 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Product Engineer - ClickStack AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. The role involves building agents that investigate incidents, writing reusable skills, owning the agent stack end-to-end, and making ClickStack a platform for AI workloads. | Agent | 9 |
| AI Product Engineer - ClickStack AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. The role involves building agents that investigate incidents, writing reusable skills, owning the agent stack end-to-end, and making ClickStack a platform for AI workloads. | Agent | 9 |
| AI Product Engineer - ClickStack |
| Agent |
| 9 |
| AI Product Engineer - ClickStack AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. The role involves building agents that investigate incidents, writing reusable skills, owning the agent stack end-to-end, and making ClickStack a great place to run AI workloads. The engineer will tackle challenges like latency, cost, context window limits, eval coverage, and hallucinations. | Agent | 9 |
| AI Product Engineer - ClickStack AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience. The role involves building agents that investigate incidents, writing reusable skills, owning the agent stack end-to-end, and making ClickStack a platform for running AI workloads. Requires strong backend skills, hands-on experience building agents, designing skills, and experience with MCP, evals, and SQL. | AgentServe | 9 |
| Solutions Architect - Langfuse Solutions Architect for Langfuse, an LLM observability platform recently acquired by ClickHouse. The role focuses on engaging with AI engineering teams to understand their LLM application stacks and requirements, and demonstrating how ClickHouse and Langfuse can meet those needs. This involves pre-sales technical advisory, contributing to pipeline generation, and building community presence within the AI observability ecosystem. | Eval GateAgent | 7 |