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Own full sales cycle for inbound, product-led, and self-serve accounts (sub-250 employees). Engage technical buyers (data engineers, platform teams) to map use cases to ClickHouse, troubleshoot schema/ingestion/integration issues, identify expansion opportunities, partner with Solutions Engineers, maintain Salesforce pipeline hygiene, contribute technical playbooks, and participate in developer community events.

The Senior Backend Engineer will build and maintain backend services for an observability platform, ensuring high performance and reliability. Responsibilities include managing APIs, engaging with the community, and tackling technical challenges related to data processing.

Build an industry marketing motion from scratch: develop GTM strategies, craft messaging and value props, create collateral and enablement, collaborate cross-functionally, conduct competitive analysis, and measure/iterate on performance to drive awareness, demand, and adoption.

Build the go-to-market strategy for Postgres managed by ClickHouse. Develop messaging, positioning, and collateral; run competitive analysis; collaborate with product, field, and marketing; measure performance and iterate to drive awareness, demand, and adoption.

Lead the development and delivery of ClickHouse Cloud, focusing on product roadmap, customer engagement, and cross-functional collaboration.

As a Senior Full Stack Engineer, you'll build high-performance observability tools, engage with developers, and tackle technical challenges in monitoring applications.

The Senior Product Manager will lead Cloud features development, manage the product roadmap, and coordinate with cross-functional teams while monitoring product performance.

Lead a software engineering team in China, supporting collaboration with Alibaba Cloud, driving technical solutions for enterprise customers, and fostering innovation at ClickHouse.

Design, deploy, and maintain scalable cloud infrastructure for ClickHouse. Collaborate with teams to enhance performance, reliability, and security of services.

Build and ship production agents and reusable skills on a petabyte-scale observability platform. Own end-to-end agent stack (context engineering, tooling, MCP servers, SDKs, integrations), improve agent observability, evaluate models, and optimize for latency, cost, and reliability while collaborating openly with OSS contributors and customers.