Senior/Staff Technical Program Manager - Fleet Orchestration

Job Description

Job Description

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi.

In this role, you will:

• Own fleet orchestration at Zoox: Lead the cross-functional strategy and execution to massively scale Zoox's fleet and mature our fleet orchestration capabilities as we expand into new cities and states. You'll span both of our fleets — the driverless robotaxi service and the autonomous test fleet — and optimize for the best outcome for the business as a whole. This is a high-leverage, high-impact role that is critical to how Zoox will scale.
• Level up orchestration of the live service: Drive the roadmap and execution for the cloud systems that orchestrate our robotaxi service — optimally pairing rider trip requests with bots, keeping the fleet charged, and positioning vehicles to meet future rider demand — together with the mobile app experience they power. Partner closely with teams across the company (e.g., Product Software, Product, Data Science, and Fleet Operations) to ship improvements that riders and the business can feel.
• Orchestrate the test fleet with the same ambition: Champion orchestration improvements for our autonomous test fleet, where smarter routing and mission assignment directly determine how efficiently we accumulate the on-road data that validates our system for new geofences. You'll partner closely with our test fleet data strategy and mileage accumulation program to make every mile count.
• Lead with metrics: Define the KPIs that measure orchestration performance, build rigorous tracking mechanisms, and treat metrics as immediate triggers for action. Dig deep into root causes and always present concrete, data-backed plans rather than accepting the status quo.
• Innovate without a playbook: Orchestrating an exponentially growing robotaxi fleet is largely uncharted territory. You'll engage deeply in technical trade-offs with engineers and data scientists, bring creative alternatives to the table when the ideal solution isn't available, and help invent orchestration capabilities the industry hasn't built yet.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field.
• 7+ years of TPM experience, with a strong background in large-scale cloud software systems — e.g., dispatch, marketplace, or fleet management platforms, or consumer mobile apps backed by cloud services.
• A naturally inquisitive, highly technical mindset. You catch on quickly in new technical domains, and you love creative problem-solving.
• A metrics-first approach to program leadership. You define the right KPIs, instrument them, and use them to drive decisions and hold programs accountable.
• Demonstrated ability to translate complex technical bottlenecks into clear, data-backed executive narratives that enable timely, critical business decisions.

Bonus Qualifications:

• Experience with fleet orchestration, ride-hailing, delivery, logistics, or other real-time marketplace and dispatch systems.
• Familiarity with optimization problems such as routing, matching, resource allocation, or demand forecasting — and experience partnering with the teams who build them.
• Experience with autonomous vehicle platforms or large-scale robotics fleets.

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 View email address on ziprecruiter.com 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.