RoboForce ran an internal AI-native hackathon — 13 teams, 3 hours, every function participated. Shipped:

• AI agent for cloud resource management (teammate-style interface)

• Company knowledge graph that auto-captures decisions

• Searchable debug tool for robot testing logs

• Recruiting pipeline integrating Claude + Codex + Greenhouse

• AI-driven software release orchestration

• 8+ more internal tools

Their thesis: robotics companies can be AI-native not just in product, but in ops. They restructured the org around small, high-leverage teams instead of bolting AI onto existing workflows.

Now hiring a Founding AI-Native Lead — builder-operator who turns scattered AI experiments into systematic company-wide leverage. If you want to architect how a physical robotics company runs on AI infrastructure from the ground up, this is the play.