Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA

ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the AI infrastructure and LLM observability ecosystem. With ClickHouse and Langufuse scaling to power enterprise AI workloads, we're growing our support team to provide a world-class experience for our expanding customer base, with unified expertise across database infrastructure and AI observability.

We are seeking a Technical Customer Support Engineer to join our global Support Engineering team in a hybrid role spanning both ClickHouse and Langfuse ecosystems. In this position, you will support customers across EMEA and globally in the Americas and APJ when support is needed or coverage overlaps. You’ll be handling technical issues and solutions, ranging from core ClickHouse database requests to helping thousands of AI product teams succeed with tracing & evals in Langfuse.

You will own a wide array of responsibilities, including front-line troubleshooting, community support, pre- and post-sales technical activities, and partnering on deeply technical POCs, and suggesting improvements to how we do things in Support at ClickHouse.

What You'll Be Doing

• Supporting and guiding our ClickHouse & Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls, delivering high-touch guidance within required Service Level Agreements (SLAs) as part of a global on-call coverage rotation.
• Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training.
• Work closely with our global Support Services, Engineering, Go-to-Market, and Product Management teams to help define the functionality required by users and customers.
• Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers.
• Escalate bugs to product engineering and close the loop with the customer once shipped.
• Go through deep technical integration/implementation questions together with our customers and directly within their codebases.
• Build strong, trusted relationships with colleagues, customers, and partners across the developer ecosystem

What You Bring

• For ClickHouse & Core Infrastructure: Databases & OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure).
• Systems Fundamentals: Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience) with comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure).
• Distributed & Operational Rigor: Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication.
• For Langfuse & AI Observability: LLM Tooling & Application Dev: Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
• Tracing, Evals & Developer Tooling: Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing to unblock AI-product teams.
• Technical Support & Communication: Strong written communication across registers. You have concise Slack troubleshooting, clear long-form docs/guides, and a customer-first mindset to unblock engineers.
• Bonus Points
• Experience with OSS and open-source technologies, as a user, community member, or contributor
• Experience with ClickHouse
• Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly.
• Experience with AWS, GCP, or Azure.
• Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ.