Senior/Staff Technical Program Manager - Robot Platform

Posted:
5/18/2026, 7:16:03 AM

Location(s):
California, United States ⋅ Foster City, California, United States

Experience Level(s):
Senior

Field(s):
Product

Workplace Type:
Hybrid

Pay:
$84/hr or $174,720 total comp

The Sr. Technical Program Manager for Robot Platform on PMO is a seasoned program management expert and cross-functional leader that will be responsible for strategic planning and execution of  technical and integrated product milestones for our vehicle platforms on our path to launch. This person will work closely with hardware, firmware, software, safety, operations, manufacturing and systems integration teams to structure, plan, and execute milestones to achieve our company goals. The right candidate will have experience with complex HW/SW systems engineering and integration, and with leading large, cross-functional teams to deliver ambitious programs.

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.

Zoox

Website: https://zoox.com/

Headquarter Location: Foster City, California, United States

Employee Count: 1001-5000

Year Founded: 2014

IPO Status: Private

Last Funding Type: Convertible Note

Industries: Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation