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.
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 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 |