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 |
|---|---|---|
| Strategic Account Executive - Germany Strategic Account Executive for ClickHouse in Germany, focusing on expanding customer base and driving adoption of their cloud product, which supports AI workloads. Requires strong business acumen, technical depth in cloud solutions, and experience in open source software and infrastructure software sales. | — | 0 |
| Enterprise Account Executive - Germany Enterprise Account Executive for ClickHouse, a cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The role focuses on expanding the customer base in Germany, managing complex sales cycles, and evangelizing the company's vision and cloud product. | — | 0 |