Technical Customer Support Engineer, AI Infrastructure & Observability
Supports ClickHouse database and Langfuse AI observability customers through troubleshooting, integrations, documentation, and technical escalations. Requires database or distributed-systems expertise, cloud debugging ability, LLM application familiarity, and strong written communication.
About the job
Responsibilities
- Support and guide ClickHouse and Langfuse users, customers, and prospects through cases, chat, Slack, community channels, and phone calls.
- Deliver high-touch technical guidance within required SLAs as part of a global on-call rotation.
- Develop solutions for ClickHouse Cloud and open-source ClickHouse for documentation, knowledge bases, blogs, meetups, webinars, and training.
- Collaborate with Support Services, Engineering, Go-to-Market, and Product Management to define needed functionality.
- Mentor colleagues and share technical knowledge with users and customers.
- Escalate bugs to product engineering and communicate resolutions after release.
- Resolve deep technical integration and implementation questions directly in customer codebases.
- Build trusted relationships with colleagues, customers, partners, and the developer ecosystem.
Requirements
- Hands-on experience with databases, OLAP systems, distributed systems, SQL engines, or cloud-native SaaS infrastructure.
- Strong software engineering fundamentals or comparable hands-on project experience.
- Ability to read code, work with data pipelines, and debug cloud infrastructure.
- Comfort working in a global team with SLA coverage, on-call responsibilities, and asynchronous communication.
- Hands-on experience building, debugging, or evaluating LLM-powered products.
- Familiarity with LLM application frameworks such as Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
- Familiarity with LLM observability and evaluation tooling, prompt workflows, model provider APIs, or OpenTelemetry-style tracing.
- Strong written communication and a customer-first approach.
Nice-to-haves
- Experience with open-source technologies as a user, community member, or contributor.
- Experience with ClickHouse or Langfuse.
- Experience with LLM observability or evaluation tooling.
- Experience with AWS, Google Cloud, or Azure.
- Experience with Kafka, Kinesis, Spark, or RabbitMQ.
Compensation and Benefits
- Flexible, remote-friendly work environment.
- Employer healthcare contributions.
- Company stock options.
- Flexible time off in the United States and generous entitlement in other countries.
- USD $500 home-office setup benefit for remote employees.
- Opportunities to attend company-wide global gatherings.
Skills
ClickHouse, Langfuse, SQL, Distributed Systems, AWS, GCP, Azure, Python, TypeScript, LangChain, Llamaindex, Vercel Ai Sdk, OpenAI, Anthropic, OpenTelemetry
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