AI Product Engineer - ClickStack

Job summary

Responsibilities

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

• 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…
• 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…
• Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.

What they're looking for

• You've been building agents long enough to have opinions — about context engineering, tool design, when to use a skill vs.
• You think in production terms: p99 latency, cost per task, whether the system still works next week without intervention.
• You move quickly, ship often, and learn from what breaks.
• You care about developer tools and have a clear sense of what good DX looks like.
• You do well with ambiguity and ownership.

Tech stack

• TypeScript
• Node.js
• Python
• SQL
• Docker
• Kubernetes
• Go
• Rust