Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA

Clickhouse; United States; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Healthcare

Equity in the company

Flexible time off

Home office stipend $500

Global gatherings

Job summary

ClickHouse seeks a Technical Customer Support Engineer to join our global Support Engineering team in a hybrid role spanning both the company and Langfuse ecosystems. You will support customers across EMEA and the Americas and APJ, handling technical issues from database requests to AI observability tooling.

You’ll mentor colleagues, assist with POCs, and collaborate with Engineering, PM, and GTM to improve product functionality. Strong written communication is essential.

Qualifications

• Hands-on experience with databases, OLAP systems, or distributed systems.
• Strong software engineering fundamentals (CS, Data Science degree) with ability to read code.

Responsibilities

• Provide front-line technical support to users via cases, chat, Slack, community, and phone, meeting SLAs.
• Develop solutions using the company Cloud and open-source tooling for customer docs, knowledge base, blogs, webinars, and training.
• Collaborate with Support Services, Engineering, Go-to-Market, and Product Management to define required functionality.
• Mentor and share knowledge with colleagues, users, and customers.
• Escalate bugs to product engineering and close the loop with customers after shipping.
• Tackle deep technical integration questions within customer codebases.
• Build trusted relationships across developers, customers, and partners.

Skills

Databases & OLAP Systems

CS/Data Science Fundamentals

Remote/global team collaboration

LLM tooling & AI observability

Technical communication

Customer-facing support

Python

TypeScript

LangChain

LlamaIndex

Vercel AI SDK

OpenTelemetry

OpenAI API

Kafka

Spark

Education

CS or Data Science degree

Tools

LangChain

LlamaIndex

Vercel AI SDK

OpenTelemetry

OpenAI API

Anthropic API

Kafka

Spark

Job description

the company 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 the company 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 the company 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 the company 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 the company.

What You'll Be Doing

• Supporting and guiding our the company & 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 the company Cloud and the company 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 the company & Core Infrastructure:

• Databases & OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (the company, 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 the company

• 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.

Perks

Flexible work environment - the company is a globally distributed company and remote-friendly. We currently operate in over 25 countries.

• Healthcare - Employer contributions towards your healthcare.

• Equity in the company - Every new team member who joins our company receives stock options.

• Time off - Flexible time off in the US, generous entitlement in other countries.

• A USD$500 Home office setup if you’re a remote employee.

• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture

We All Shape ItAs part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at the company.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.