
501 - 1000 employees
Founded 2021
âïž SaaS
đą Enterprise
đ€ Artificial Intelligence
đ„ Funding within the last year
đ° $400M Series D on 2026-01
SaaS âą Enterprise âą 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.
đ„ 11 minutes ago
Where this job comes from
Posted on ClickHouse's careers page, not through a job board
First seen by Remote Rocketship 11 minutes ago

501 - 1000 employees
Founded 2021
âïž SaaS
đą Enterprise
đ€ Artificial Intelligence
đ„ Funding within the last year
đ° $400M Series D on 2026-01
SaaS âą Enterprise âą 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.
âą Support and guide ClickHouse and Langfuse users, customers, and prospects through cases, chat, Slack, community, and phone calls âą Deliver high-touch guidance within required SLAs as part of a global on-call coverage rotation âą Develop solutions based on ClickHouse Cloud and ClickHouse open-source for documentation, knowledge bases, blogs, meetups, webinars, and training âą Collaborate with global Support Services, Engineering, Go-to-Market, and Product Management teams to define required functionality âą Assist with mentoring, training, and knowledge sharing âą Escalate bugs to product engineering and close the loop with customers after fixes ship âą Address deep technical integration and implementation questions directly within customer codebases âą Build trusted relationships with colleagues, customers, and developer-ecosystem partners âą Support customers across EMEA and, when needed or coverage overlaps, globally in the Americas and APJ
âą Hands-on experience with databases, OLAP, or distributed systems, including ClickHouse, SQL engines, or cloud-native SaaS infrastructure âą Strong software engineering fundamentals through a CS or Data Science degree, or comparable hands-on project experience âą Comfort reading code âą Experience working with data pipelines such as Kafka or Spark, or debugging cloud infrastructure such as AWS, GCP, or Azure âą Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and asynchronous communication âą Genuine curiosity for LLM application development âą Hands-on experience building, debugging, or evaluating LLM-powered products using Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK âą Familiarity with LLM observability or evaluation tooling, prompt workflows, model provider APIs such as OpenAI and Anthropic, or OpenTelemetry-style tracing âą Strong written communication across concise Slack troubleshooting and clear long-form documentation or guides âą Customer-first mindset âą Experience with open-source technologies is a bonus âą Experience with ClickHouse is a bonus âą Experience with Langfuse or LLM observability/evaluation tooling is a bonus âą Experience with AWS, GCP, or Azure is a bonus âą Experience with Kafka, Kinesis, Spark, or RabbitMQ is a bonus âą Fluent English speaker
âą Flexible work environment and remote-friendly work arrangement âą Employer contributions towards healthcare âą Stock options for every new team member âą Flexible time off in the US âą Generous time-off entitlement in other countries âą USD$500 home office setup allowance for remote employees âą Opportunities to engage with colleagues at company-wide offsites
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