Lead technology initiatives that transform logistics processes into scalable automation. Set technical direction, coach engineers, identify opportunities for tools and integrations, improve decision-making workflows, and guide AI-native systems from concept through practical implementation. The role operates across data, applications, integrations, automation, and human-in-the-loop AI workflows while maintaining team focus and delivery momentum.

Build and maintain integrations connecting APIs, workflows, data contracts, tools, and AI-powered self-service systems. Diagnose failures across payloads, APIs, workflows, and system handoffs; test assumptions quickly; and deliver practical solutions that improve operations across teams and platforms.

Design and build AI-powered applications for the logistics industry. The role combines product judgment, application architecture, AI engineering, data modeling, systems integration, and usability. Responsibilities include identifying valuable AI opportunities, determining how solutions fit existing systems, integrating vendor APIs, developing incremental solutions, and contributing directly to implementation and pull requests.