Own and build core data infrastructure for an AI-driven logistics platform: design and scale distributed backend systems, queues, databases, and real-time search; ensure reliability and performance; set backend technical direction; mentor hires and collaborate closely with founders in San Francisco.

Be the technical owner of strategic enterprise logistics accounts: run discovery, design and build integrations and customer-facing features, implement AI-driven document extraction pipelines and regulatory filing surfaces, ship production code, and codify standards so customer work strengthens the core platform.

Lead architecture and implementation of real-time, data-heavy dashboards and human-in-the-loop AI interfaces. Own full product lifecycle from discovery to production monitoring, mentor engineers, and ensure high uptime and reliability for document-driven logistics workflows.