AI Product Engineer - ClickStack

Key Highlights

• 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.