AI Product Engineer - ClickStack

Stack

Responsibilities

• ▹Build agents that investigate incidents, surface anomalies, and answer 'why is production broken?' using ClickStack as their substrate
• ▹Write reusable skills (not just prompts) 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, and cost in production
• ▹Build MCP servers, SDKs, and integrations so customers' agents can read telemetry, take action, and stay observable
• ▹Work in the open with OSS contributors and customers, debugging their problems and feeding learnings back into the product
• ▹Tackle hard problems: latency, cost, context window limits, eval coverage, and 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, comfortable in both
• ▹Hands-on experience building agents: multi-step tool use, planning, memory, error recovery
• ▹Experience designing skills (Markdown-based workflow encoding)
• ▹Production mindset: p99 latency, cost per task, long-term reliability

Nice to have

• ▹Experience wiring up MCP servers
• ▹Strong sense of good developer experience (DX) and developer tooling
• ▹Experience hitting and solving limits of generic copilots in production

Soft skills