Salary Range: 219000 to 337000 (Currency: USD) (Pay period: per-year-salary)
As the Executive Operations Manager of the Autonomy Software team you will be a key advisor and strategic partner to the VP, influencing departmental strategies, implementing strategic initiatives and leading organizational efficiencies. You will be a trusted advisor, and at times represent the VP in leadership meetings or within designated functional areas.
In this role, you will:
- Serve as a key advisor and strategic partner to the VP, providing insights that influence departmental strategies, co-leading their implementation, and leading various business initiatives.
- Act as an extension of the VP when designated and serve as a mentor to junior members of the leadership team and potentially manage direct reports.
- Review work streams and processes to identify operational needs and inefficiencies, and develop and implement necessary improvements.
- Lead cross-functional programs to achieve strategic goals, enhance operational efficiencies, establish processes, and develop key supporting assets.
- Identify areas for operational improvement, lead efforts to streamline processes, manage key projects, and facilitate communication and collaboration across the organization.
- Understand or strive to learn the technical concepts, architecture, and systems development methods associated with the Zoox Autonomy team.
Qualifications
- Bachelor’s degree or higher in technical discipline and at least 7 years of relevant experience in AV, Robotics, EV, or related industry preferred.
- Strong leadership skills and experience leading technical teams.
- Experience engaging and collaborating with C- Suite executives.
- Highly organized and excellent attention to detail with the ability to prioritize and manage multiple tasks and workflows on deadline.
- Strong track-record managing complex cross-functional projects with strong knowledge in system safety and/or systems engineering processes.
- Proficient in Google Suite or Microsoft Office.
Bonus Qualifications
- PhD or Master’s degree in technical discipline.
- Working experience in the autonomous driving technology industry.
- Experience bringing a new product to market.
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 $219,000 to $337,000. 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
[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.