Staff/Senior Staff Business Enablement Architect

Posted:
10/5/2025, 5:17:34 AM

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

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Business & Strategy

Workplace Type:
Hybrid

Zoox is seeking a strategic and execution-focused Business Enablement Architect to lead the optimization and scaling of our core business functions in support of the company’s rapid growth. Acting as a key liaison between technology teams and operational units including Finance, HR, Legal, Procurement, IT, and Marketing, this architect will drive the design and implementation of scalable, end-to-end business processes. The ideal candidate combines hands-on leadership with a strong strategic vision, ensuring that foundational processes not only meet current business needs but are built to support long-term growth without costly overhauls.
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