Engineering Jobs 2026 (Now Hiring) – Smart Auto Apply

At Zoox, we're building the future of autonomous mobility, and scaling how we service and support our growing vehicle fleet is a critical part of that mission. As a Senior Technical Program Manager for Service Engineering, you'll play a key role on the Manufacturing Engineering team, driving cross-functional alignment across Vehicle Engineering, Manufacturing Operations, and BaseOps organizations. You'll lead roadmap development, track milestones, manage risk, and communicate progress to ensure our service engineering programs scale efficiently and effectively. This high-visibility role is ideal for someone who thrives on complex, fast-paced programs and wants to help shape how Zoox maintains and supports its next-generation fleet.

In this role, you will

• Establish and maintain clear program reporting and KPIs to communicate status, risks, and accomplishments to stakeholder
• Lead cross-functional planning and execution to scale vehicle testing operations and align day-to-day activities with corporate goals and program milestones.
• Proactively identify, escalate, and drive resolution of issues impacting testing efficiency and manufacturing readiness.
• Track and drive key service performance metrics, including Mean Time Between Failures (MTBF), Mean Time to Diagnose (MTTD), Mean Time to Repair (MTTR), fleet-level availability, and Bot-to-Technician ratio
• Lead effective communication and coordination across teams by establishing processes, leading meetings, and ensuring alignment on deliverables, timelines, and risks

Qualifications

• BS or MS degree in an engineering or management discipline
• 10+ years of experience in manufacturing operations, engineering, program management, or fleet operations
• Strong track record in managing complex cross-functional projects or programs
• Experience with documentation tools such as Jira, Smartsheet, or Confluence

Bonus Qualifications

• PMP Certificate
• Prior experience working in a startup or automotive environment
• Experience in launch and scaling of volume production.

$186,000 - $223,000 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.

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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.