Senior Program Manager, Process & Tools, PMO

2 Months ago • 8 Years + • Operations • Product Management

About the job

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. PMO has teams focusing on AI & Autonomy, Robot Platform Development, Testing & Performance, and Service/Product readiness. All roles are deeply cross-functional, collaborative, and interdisciplinary. 

The Senior Program Manager, Process & Tools in PMO will work closely with the PMO leadership team and cross-functional partners to drive the quarterly planning effort. The person in the role will define planning deliverables and provide guidance on planning scope, identifying interdependencies across teams and top program risks to ensure the execution of the Zoox roadmap and delivery of critical milestones. This role has high visibility within the senior executive team at Zoox. 

In this role, you will:

    • Drive company quarterly planning effort including getting leadership buy-in, defining planning deliverables with other functional program managers, and providing guidance and ongoing education on planning scope as well as interdependency and risk tracking
    • Support the effort to build and scale Zoox-wide processes and tools to support the planning effort while maintaining a strong technical understanding of our vehicle platforms, software lifecycle, safety release process and test operations.
    • Develop and maintain standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, dependencies, and accomplishments
    • Comfortable leading in a gray space and enabling teams to deliver tangible results
    • Propose key decisions working cross-functionally across engineering, operations, finance, and strategy and other teams to reach the right conclusions 
    • Define KPIs and other methods to measure metrics that best translate progress towards goals
    • Interface with stakeholders and leadership and exercise judgment and discretion to develop solutions to remove obstacles and redefine approaches.

Qualifications

    • BS or MS degree in an engineering discipline or equivalent experience
    • 8+ years of experience in engineering, program management, or management consulting with a focus on process rollouts and product launches 
    • Success in driving complex SW/HW integration processes and optimizations, and leading complex cross-functional programs end to end
    • Proficient in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrices, Smartsheet, JIRA, issue and ticket management, etc.)
    • Excellent written, presentation and verbal communication skills are a must, ability to create visualizations of KPIs and program risks
Compensation and Benefits
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $190,000 to $210,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

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.
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About The Company

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Seattle, Washington, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

San Diego, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

Foster City, California, United States (On-Site)

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