Senior Technical Program Manager - System Safety Clearance

8 Months ago • 6 Years + • Program Management

Job Details

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely.  We are seeking a Technical Program Manager that will help Zoox System Design and Mission Assurance (SDMA) team to adapt, implement,  mature, and continuously innovate various aspects of the System Safety engineering process.    

This is a high-visibility role.  In this role, you will establish close collaboration and build trusting relationships with senior leaders from cross-functional teams including hardware, software, vehicle engineering, operations, human factors, program management office, legal, and policy. You will work cross-functionally to develop project schedules, identify milestone work streams, flag risks, estimate budgets, and clearly communicate on-going progress. 

In this role, you will:

    • Support the establishment and planning of various work streams that are required for the Safety Case in each milestone
    • Manage the planning and execution of system-level hazard analysis activities, traceability of potential safety issues through safety architecture, requirements, implementation, verification, and validation to produce a closed-loop safety case
    • Lead the Risk Management Program for various milestones, tracking all potential safety issues and driving them to closure
    • Define the Field Safety Issue response process for SDMA and manage quarterly program planning and progress tracking for the System Safety team
    • Represent the SDMA System Safety team at key program review meetings
    • Ensure that engineering groups are coordinated, understand their priorities, and are on-track to deliver on our corporate milestones on time and on budget

Qualifications

    • BS degree or higher in an Engineering or Science discipline
    • 6+ years of experience in technical program management
    • Working-level knowledge with system safety and/or systems engineering process
    • Strong track-record in managing complex cross-functional projects
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $190,000 to $250,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
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.

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 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.

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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.

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

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

Foster City, California, United States (Hybrid)

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

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

Foster City, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

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