Own the technical direction and end-to-end delivery of a backend engineering team supporting high-volume supply chain visibility platforms. Design distributed microservices, event-driven systems, data models, integrations, and production architecture. Drive engineering standards, reliability, observability, technical debt reduction, risk management, code quality, mentoring, hiring, and cross-functional coordination. Remain hands-on in Java or Go development while partnering with Product and Engineering Managers to deliver complex multi-quarter initiatives.

Own the reference architecture and platform for production AI agents, including agent execution, tool use, state management, recovery, context engineering, model routing, guardrails, and human handoffs. Build shared retrieval, memory, and evaluation infrastructure for offline and online quality measurement. Integrate agents with event-driven systems and customer APIs, review designs, mentor engineers, and connect technical metrics to supply chain business outcomes.

Own the Over-the-Road visibility product portfolio across truckload, LTL, parcel, and last mile. Analyze adoption, engagement, retention, tracking quality, and ETA accuracy using SQL and product analytics tools. Conduct customer discovery, prioritize roadmaps, build AI-assisted prototypes, and partner with engineering, design, customer success, sales, and marketing to ship measurable product improvements.