About this role
ClickHouse
What You'll Be Doing
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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.
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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.
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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.
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Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers.
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Escalate bugs to product engineering and close the loop with the customer once shipped.
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Go through deep technical integration/implementation questions together with our customers and directly within their codebases.
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Build strong, trusted relationships with colleagues, customers, and partners across the developer ecosystem
What You Bring
For ClickHouse & Core Infrastructure:
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Databases & OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure).
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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).
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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:
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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.
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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.
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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
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Experience with OSS and open-source technologies, as a user, community member, or contributor
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Experience with ClickHouse
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Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly.
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Experience with AWS, GCP, or Azure.
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Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ.
Perks
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Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
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Healthcare - Employer contributions towards your healthcare.
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Equity in the company - Every new team member who joins our company receives stock options.
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Time off - Flexible time off in the US, generous entitlement in other countries.
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A USD$500 Home office setup if you’re a remote employee.
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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 It
As 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 ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type 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.