
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„ 1 hour ago
đŁïžđŻđ” Japanese Required
Where this job comes from
Posted on ClickHouse's careers page, not through a job board
First seen by Remote Rocketship 1 hour 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 Provide consultative support to ClickHouse enterprise customers âą Perform hands-on engineering, development assistance, and high-tier support âą Serve on customer projects involving design, architecture, integration, implementation, and documentation âą Conduct research, benchmarking, performance and functional testing, reference architecture, sizing, migration, integration, development, and tooling work âą Provide case-initiated consultative support for implementation, onboarding, production launches, and Proofs of Concepts âą Provide architectural, technical, and migration assistance, including hands-on tasks âą Handle L1 to L3 support cases and communications when not assigned to customer projects âą Partner with Product Management, Engineering, and Sales on product roadmaps and account plans âą Develop public and internal documentation, Knowledge Base articles, ClickHouse Learning content, reference architectures, blogs, and benchmark results âą Assist with hiring and mentoring new team members âą Participate in scheduling and on-call support to deliver high-quality 24x7 support in a global, distributed environment âą Travel onsite regionally up to an estimated 35%
âą 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles âą 5+ years of relevant industry experience implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems âą Technical breadth and depth in DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, system or network administration, and big data âą Experience leading and shipping large-scope technical projects with multiple experienced engineers âą Expertise with a public cloud provider such as AWS, GCP, or Azure and its infrastructure-as-a-service offerings âą Proficiency in both Japanese and English âą Ability to provide technical oversight, architectural assistance, and build Proofs of Concept for enterprise-level customers âą Up to 35% estimated onsite regional travel and availability for scheduling and on-call needs âą Bonus: Experience with ClickHouse âą Bonus: Experience with OSS and open-source technologies âą Bonus: Experience with Azure, GCP, or AWS âą Bonus: Experience with data pipelines such as Kafka, Kinesis, Spark, or RabbitMQ
âą Employer contributions towards healthcare âą Equity in the company; 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 âą Flexible work environment âą Remote-friendly work arrangement
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