ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries. Backed by Index.
About the role
Most companies treat support as a cost center. We treat it as an engineering challenge and a product opportunity. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3–5 years building and shipping full-stack software in production, with tools like TypeScript/JavaScript, Node.js, and React (or comparable)
- Experience developing with APIs, webhooks, and integrations between distributed systems
- Hands-on experience close to support: as a support or technical support engineer, or by building tools or integrations for a support, CS, or RevOps team
- Confidence with Git and safe, version-controlled deployment workflows
- The ability to translate operational needs into solutions that non-engineers can follow
- A shipper’s mindset: self-driven, curious, and comfortable owning a problem end-to-end in a remote, globally distributed team
More about this role
Most companies treat support as a cost center. We treat it as an engineering challenge and a product opportunity.
Support Operations Engineering is an engineering function inside ClickHouse’s Support Services organization. We build the systems that decide how customers get help from the moment they describe their problem to the moment it’s resolved. This role will help shape how Support Services, RevOps, GTM, and core Engineering teams collaborate on customers. This is not a tools team. About a third of our work directly supports the support organization. The rest is building experiences and systems that change how ClickHouse works with its customers in more effective, streamlined ways.
You’ll design and build the systems that sit between ClickHouse’s customers and the teams who serve them. The work is varied by design, and you’ll move between problem types as priorities shift:
Intelligent routing and decision systems. Software that decides where work should go and who should handle it, weighing many signals at once, and is built to adapt as the business scales.
AI-powered customer experiences. Customer-facing and internal experiences that understand what someone needs, recommend...
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