Technical Customer Support Engineer (AI Infrastructure & Observability)

Location: EMEA (Remote)

Company

ClickHouse is a cloud company focused on real-time analytics, data warehousing, observability, and AI workloads, with ClickHouse and Langfuse supporting enterprise AI infrastructure.

What you will do

• Support ClickHouse and Langfuse users, customers, and prospects through cases, chat, Slack, community channels, and phone calls.
• Provide high-touch technical guidance within SLAs as part of a global on-call coverage rotation.
• Develop reusable solutions, documentation, knowledge-base content, blogs, webinars, meetups, and training materials.
• Work with Support Services, Engineering, Go-to-Market, and Product Management to improve product functionality and support processes.
• Investigate integrations and implementation questions directly in customer codebases, escalate bugs, and communicate resolutions after fixes are shipped.
• Mentor colleagues and build trusted relationships with customers, partners, and the developer ecosystem.

Requirements

• Hands-on experience with databases, OLAP systems, distributed systems, ClickHouse, SQL engines, or cloud-native SaaS infrastructure.
• Strong software engineering fundamentals, with the ability to read code, work with data pipelines, or debug AWS, GCP, or Azure infrastructure.
• Experience building, debugging, or evaluating LLM-powered products using Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.
• Familiarity with LLM observability and evaluation tooling, prompt workflows, model provider APIs such as OpenAI and Anthropic, or OpenTelemetry-style tracing.
• Strong written communication, customer-first troubleshooting skills, and comfort working in a remote-first environment with SLA coverage, on-call duties, and asynchronous communication.
• Ability to support customers across EMEA and provide coverage for the Americas and APJ when required or when coverage overlaps.

Nice to have

• Experience with open-source technologies as a user, community member, or contributor.
• Experience with ClickHouse, Langfuse, or LLM observability and evaluation tooling.
• Experience with AWS, GCP, Azure, Kafka, Kinesis, Spark, or RabbitMQ.

Culture & Benefits

• Globally distributed, remote-friendly work environment operating in more than 20 countries.
• Employer healthcare contributions.
• Company equity through stock options for new team members.
• Flexible time off in the United States and generous leave entitlement in other countries.
• $500 home office setup allowance for remote employees.
• Opportunities to attend company-wide offsites and global gatherings.