Pallet Offices

Deploy production AI agents for supply chain customers by designing integrations, building workflows, debugging systems, and improving reliability. The role partners directly with customer operators, engineers, and executives; connects agents to APIs, systems, and data; evaluates agent quality; and converts deployment learnings into reusable product capabilities. Work includes agent behavior, application logic, data, security, observability, and production operations.

Own and scale Pallet’s infrastructure supporting millions of AI agent runs. Responsibilities include improving capacity, performance, reliability, cloud and on-prem portability, enterprise integrations, observability, incident response, developer productivity, CI, deployments, and production debugging. The role sets technical direction, establishes SLOs, plans capacity, identifies bottlenecks, and leads reliability improvements.

Deploy production AI agents and workflows for supply chain customers. Responsibilities include designing integrations, connecting APIs and data systems, debugging production environments, improving agent quality, and ensuring reliability. The role involves working directly with customer stakeholders, translating ambiguous operational needs into technical solutions, managing deployments through launch, and converting deployment insights into reusable agents, integrations, evaluations, and platform capabilities.