Software Engineering Manager - Service Platform

Zoox is seeking an experienced Software Engineering Manager to lead the Service Platform team within our Ride and Fleet organization. This team plays a critical role in enabling the reliable and scalable operation of our autonomous ride-hailing service by building and maintaining the foundational infrastructure, platforms, and systems.

In this role, you will lead a team of software engineers focused on system reliability, performance, scalability, observability, infrastructure, security, and release processes. You will work in a highly collaborative, cross-functional environment, partnering closely with engineering teams to build robust, secure, and high-performing services that support the continued growth and operational needs of Zoox's driverless robotaxi fleet.

• Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement
• Provide technical guidance, establish and monitor key performance indicators to measure the effectiveness of optimization strategies and drive continuous improvement
• Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed
• Work with partner teams to deliver tested high quality solution that meets the requirements of client services, as well as ensure smooth integration, deployment

• BS / MS in Computer Science or similar degree and/or 10+ years of relevant experience
• 5+ years Management experience including personnel management, hiring, budget
• Experience successfully shipping large-scale backend services/platforms to production
• Leading & delivering in fast paced and agile environment, in a highly cross organizational setup
• Proficiency in one or more programming languages like Kotlin or Java

• Experience working Dispatch systems, Routes, Maps
• Experience in Ride Hail / AV Industry 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.