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.

Build and own scalable product features for an AI-powered logistics platform. Responsibilities include developing backend systems and data pipelines, supporting thousands of parallel AI agents, translating customer needs into reliable software, shipping end-to-end SaaS features, and contributing to architecture, product decisions, and technical direction.