# Senior/Staff Technical Program Manager - Automation & Scaling at Zoox

> Own the simulation, automation, and cloud infrastructure that speeds validation and release cycles for autonomous vehicles.

- Company: Zoox (zoox.com)
- Location: Foster City, CA
- Places: Foster City, United States
- Posted: 2026-11-06
- Level: Senior/Staff
- Team: Program Management Office
- Work mode: On site
- Apply: https://jobs.lever.co/zoox/9e5326f4-d879-465f-8118-4584b1ba6018
- Page: https://ye.saranatour.dev/jobs/senior-staff-technical-program-manager-automation-scaling-zoox-kn7f248mz7ra978qqmtbxhr0vx8hr127

## The posting

Senior/Staff Technical Program Manager - Automation & Scaling
Zoox · Foster City, CA

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.

As Zoox scales its fleet and expands into new cities, we are evolving how we develop, validate, and release software by leveraging simulation, automation, faster triage, and scalable infrastructure. Our goal is to deliver improvements to our autonomous fleet faster and more frequently, while upholding our high bar for safety and quality.

As the Technical Program Manager for Automation & Scaling, you will own the systems that make that cadence possible. That means leveraging simulation to validate at scale, scaling the cloud infrastructure behind it, and automating the triage and metrics pipelines that shorten review cycles. This is a hands-on builder role. We are looking for a technically deep program leader who has built and deployed automation that measurably cut cycle time, and who can turn promising research and prototypes across Zoox into operational, production-grade systems.

### In this role, you will:

- **Leverage simulation at scale:** Partner with Simulation, Autonomy, and Mission Assurance teams to make simulation the primary engine for validation, expanding coverage and reducing reliance on on-road testing.
- **Drive automation:** Identify manual, repetitive steps across development, validation, and release, and lead the design and deployment of automation that removes them, prioritizing the work that most reduces cycle time.
- **Enable faster triage:** Deploy AI-assisted systems that parse logs, classify failures, and route issues, significantly reducing the time from test results to actionable fixes.
- **Build scalable infrastructure:** Scale cloud-based (AWS) simulation, metrics, data processing, and release evaluation pipelines so they grow with volume and support a faster, more frequent release cadence.
- **Operationalize what already exists:** Work alongside Zoox's technical experts and research teams, apply a programmatic lens, and turn prototypes into production systems that teams depend on.
- **Drive and measure impact:** Instrument the process end to end, find the bottlenecks, and report progress against cycle-time goals in clear, data-backed narratives for executive leadership

### Qualifications:

### Bonus Qualifications:

**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.

[Follow us on LinkedIn](https://www.linkedin.com/company/zoox-inc)

**Accommodations**

If you need an accommodation to participate in the application or interview process