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Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.
In this role, you will:
- Oversee and manage the end-to-end SDMA clearance process, ensuring all program stages are executed efficiently while ensuring scalable and robust processes are implemented as the company expands
- Lead a team of Technical Program Managers, providing guidance and support for multiple concurrent clearance programs, including live service, early milestone, and clearance
- Develop and drive program schedules, milestones, and deliverables related to the safety and clearance of our autonomous robotaxi
- Serve as the primary point of contact for all clearance-related activities, facilitating communication and collaboration across cross-functional teams
- Define and manage the scope and timeline for the various clearance activities, proactively identifying and mitigating risks to the clearance programs while managing dependencies across various teams
- Report on program status, risks, and progress to senior leadership, ensuring alignment on priorities and timelines
Qualifications
- At least 8 years of experience in technical program management, with a proven track record of shipping complex, safety-critical systems
- Experience managing and leading teams of program managers or technical leads
- BS or MS in an engineering discipline or equivalent experience
- Comprehensive knowledge of complex hardware and software development lifecycles
- Experience in program management tools such as Jira, Confluence, and Smartsheet
Bonus Qualifications
- Experience with automotive safety standards such as ISO 26262 or other safety-related standards (e.g., IEC 61508, DO-178C)
- Experience in the autonomous vehicle industry
- Familiarity with systems engineering and requirements management
$205,000 - $284,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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 [email protected] or your assigned recruiter.
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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