Software Engineering Manager - Fleet Management Backend Services

Zoox is seeking a seasoned Software Engineering Manager to lead the Fleet Management team. The team is central to enabling successful driverless robotaxis service, handling business critical and customer centric functions like dispatch, routing, telemetry.

You will be leading a team of software engineers and working in a highly cross disciplinary and cross functional setup interfacing with all aspects of Robot and service enablement. 

In this role, you will:

• 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
• Proactively identify risks (schedule/quality/feature) and put in mitigation measures

Qualifications

• 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

Bonus Qualifications

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

$219,000 - $300,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.