AI Product Engineer

ClickHouse

AI Product Engineer at ClickHouse building agentic capabilities for an observability platform. Focusing on developer experience and tackling complex system challenges.

Posted 6/5/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

DockerJavaScriptKubernetesNode.jsOpen SourcePythonSQLTypeScript

About the role

Key responsibilities & impact

Build agents that investigate incidents. They surface anomalies, answer "why is production broken?", and use ClickStack as their substrate.
Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch.
Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You're responsible for whether the agent works in production.
Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable themselves.
Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.
Tackle the hard parts. Latency, cost, context window limits, eval coverage, hallucinations on real telemetry.

Requirements

What you’ll need

5+ years of software engineering experience, including 1–2 years on LLM-powered systems or agents in production.
Strong backend skills in TypeScript/Node.js and/or Python. Comfortable in both, even if one is primary.
Hands-on experience building agents: multi-step tool use, planning, memory, error recovery. You've shipped them and dealt with the failure modes.
Experience designing skills (Markdown-based workflow encodings, Anthropic-style or similar) and a clear view on when a skill, a tool, or both is the right fit.
Experience with MCP: building servers, designing tools, and thinking through auth, scoping, and observability for agentic systems.
Strong evals practice: golden sets, LLM-as-judge, regression detection.
SQL proficiency — you can write ClickHouse queries directly.
Comfort with Docker and Kubernetes.
Active in open source and the developer community.

Benefits

Comp & perks

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 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 $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.

ATS Keywords

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Hard Skills & Tools

TypeScriptNode.jsPythonClickHouseSQLDockerKubernetesLLM-powered systemsagent designevals practice

Soft Skills

collaborationproblem-solvingdebuggingcontext engineeringtool designplanningmemory managementerror recoverycommunicationopen source engagement