
501 - 1000 employees
Founded 2021
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
đĽ Funding within the last year
đ° $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.
đĽ 1 hour ago
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
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
đĽ Funding within the last year
đ° $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.
⢠Serve as a team member on customer projects focused on design, architecture, integration, implementation, and documentation ⢠Conduct research, benchmarking, performance and functional testing, reference architecture, sizing, migration, integration, development, and tooling work ⢠Provide case-initiated consultative support to strategic users, customers, and prospects ⢠Assist customers with implementation, onboarding, production launches, and Proofs of Concept (POCs) ⢠Provide architectural, technical, and migration assistance, including hands-on tasks ⢠Handle L1 to L3 support cases and communications when not assigned to customer projects ⢠Partner with Product Management, Engineering, and Sales on product roadmaps and account plans ⢠Develop public and internal documentation, knowledge base articles, ClickHouse Learning content, reference architectures, blogs, and benchmark results ⢠Assist with hiring and mentoring new team members ⢠Participate in scheduling and on-call coverage to deliver high-quality 24x7 support in a global distributed environment ⢠Travel onsite regionally up to an estimated 35%
⢠5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles ⢠5+ years of relevant industry experience implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems (DBMS) ⢠Technical breadth and depth in DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data ⢠Experience leading and shipping large-scope technical projects with multiple experienced engineers ⢠Expertise with a public cloud provider (AWS, GCP, or Azure) and infrastructure-as-a-service offerings such as EC2 ⢠Experience with ClickHouse is a bonus ⢠Experience with OSS and open-source technologies is a bonus ⢠Experience with Azure, GCP, or AWS is a bonus ⢠Experience with data pipelines such as Kafka, Kinesis, Spark, or RabbitMQ is a bonus ⢠Excellent communication skills and ability to thrive in a customer-facing role ⢠Ability to collaborate with Support Services, Engineering, and Sales teams ⢠Willingness to be available for scheduling and on-call needs for 24x7 support ⢠Must be located in Australia, specifically Sydney or Melbourne ⢠Up to 35% estimated onsite regional travel
⢠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 ⢠Global company-wide offsites and gatherings ⢠Flexible work environment ⢠Remote-friendly work arrangement
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