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 |
|---|---|---|
| Product Marketing Engineer Product Marketing Engineer for ClickHouse, a company specializing in real-time analytics, data warehousing, observability, and AI workloads. The role involves creating technical content, performing competitive analysis, and driving market adoption of the ClickHouse platform. Requires strong technical background, communication skills, and understanding of databases, particularly OLAP. | — | 5 |
| Product Marketing Engineer Product Marketing Engineer role at ClickHouse, a cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The role involves developing technical expertise, creating compelling messaging and content, performing competitive analysis, and driving market awareness and adoption. Requires 5+ years of engineering or product marketing experience, strong technical background, excellent communication skills, and deep understanding of databases (OLAP) and SQL. | — | 0 |
| RVP - NEMEA |
| — |
| 0 |