AI Product Engineer - ClickStack

Stack

Responsibilities

• ▹Build agents that investigate incidents, surface anomalies, and answer why production is broken, using ClickStack as their substrate
• ▹Write reusable skills capturing how the team debugs, finds root causes, writes ClickHouse queries, and runs incident response
• ▹Own the agent stack end-to-end: context engineering, tool design, evals, tracing, cost
• ▹Build MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable
• ▹Work in the open with OSS contributors and customers, feeding learnings back into the product
• ▹Tackle hard problems: latency, cost, context window limits, eval coverage, hallucinations on real telemetry

Requirements

• ▹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
• ▹Hands-on experience building agents: multi-step tool use, planning, memory, error recovery
• ▹Experience designing skills (Markdown-based workflow encodings, Anthropic-style or similar)
• ▹Experience with MCP: building servers, designing tools, auth, scoping, and observability for agentic systems
• ▹Strong evals practice: golden sets, LLM-as-judge, regression detection
• ▹SQL proficiency, able to write ClickHouse queries directly
• ▹Comfort with Docker and Kubernetes
• ▹Active in open source and the developer community

Nice to have

• ▹Built or operated production agents in observability, incident response, or SRE
• ▹Strong opinions on agent observability: tracing, cost attribution, eval pipelines, OpenTelemetry for agents
• ▹Experience with prompt caching, context compaction, or similar techniques at high telemetry volumes
• ▹Experience with columnar databases and event ingestion pipelines
• ▹Contributed to or maintained an open source AI/agent project
• ▹Familiarity with Go, Rust, or other systems languages for integrations and high-throughput infra

Soft skills

About the company

ClickHouse builds ClickStack, an open-source observability platform unifying logs, metrics, traces, and session replays for fast root-cause analysis.