
501 - 1000 employees
Founded 2021
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $400M Series D on 2026-01
SaaS • Enterprise • Artificial Intelligence
ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.
🔥 3 minutes ago
Where this job comes from
Posted on ClickHouse's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

501 - 1000 employees
Founded 2021
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $400M Series D on 2026-01
SaaS • Enterprise • Artificial Intelligence
ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.
• Design and implement AI-powered features across the full stack within the ClickHouse Cloud platform • Create robust, scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and external/internal AI services • Implement and maintain integrations with the broader AI/ML ecosystem and standards • Integrate models into production systems with monitoring, versioning, observability, and evaluation • Participate in the daytime on-call rotation • Design and implement developer tools, SDKs, and documentation for ClickHouse AI/ML capabilities • Build and operate AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships
• 5+ years of software engineering experience in production environments • Exposure to AI/ML technologies • Backend development experience in TypeScript or Python • Focus on API design and service architecture • Ability to drive features from concept to production with minimal supervision • Ability to communicate technical concepts to diverse stakeholders • Experience integrating and deploying AI/ML models in production systems, including inference APIs and vector databases is nice to have • Familiarity with AWS, Azure, or GCP, particularly AI/ML deployment services is nice to have • Understanding of database systems and data processing pipelines is nice to have • ClickHouse experience is a significant plus
• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites • Remote-friendly work environment
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