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Zoox

Senior/Staff Technical Program Manager - Fleet Orchestration

Hybrid · Foster City, CA

This hybrid role accepts applicants from: United States.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 4 hours ago.

PayUSD 213,000 – 295,000 per year
Work arrangementHybrid
Who can applyPeople in United States
LevelManager
TypeFull time
Occupationtechnical director
LanguageNot stated
Posted4 August 2026
Last verified4 hours ago
StatusActive

About the role

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.
About ZooxZoox 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.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.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.

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.
  • 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.

Listed via Zoox · first seen 22 October 2026 · last verified 28 October 2026

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