Senior Program Manager, Fleet Readiness & Response Process Improvement

Job Description

Job Description

Zoox is starting to emerge from its R&D phase and move into commercial operations. The process and strategy team within fleet operations is responsible for identifying and implementing operational improvements that enable us to scale efficiently while maintaining a great rider experience. The process team is looking at everything from how we reduce the number of handoffs between teams in the Fusion Center, to how we improve the quality of our responses, to how quickly we clean and repair vehicles and get them back on the road, and everything in between. 

This role will design, coordinate, document, and implement large-scale operational process improvement initiatives for the Mission Readiness program. The Mission Readiness team is responsible for charging, cleaning, inspecting, and performing other similar tasks where vehicle turn times are key. A successful candidate can manage and iterate on an approach to identifying, assessing, and driving continuous improvements to scale operations. The candidate must be comfortable balancing strategic thinking with tactical, detailed execution while working independently, sorting through ambiguously defined problems, identifying and facing major challenges, and adapting to sudden and frequent change.

In this role, you will:

• Identify operational improvements for the Mission Readiness function that set us up for scale
• Work cross-functionally to intake, document, and prioritize requests for process changes from a number of partner teams
• Design and document workflows focused on vehicle charging, cleaning, inspections, etc
• Provide bi-weekly status updates to key stakeholders on process improvement initiatives
• Set the vision for the Mission Readiness function and ensure success via metrics like vehicle turnaround time

Qualifications

• Bachelor’s degree in Business Administration, Operations Management, or a related field
• 8+ years of experience in program management, operational excellence, process improvement, or a related field
• Experience in a product-based operations environment
• Prior experience developing and using data and metrics to support strategic decision-making
• Excellent written and verbal communication skills
• Proactive mindset and resourcefulness

Bonus Qualifications

• Master's degree in a relevant discipline (Business Administration, Engineering, Computer Science, Program Management, etc.)
• Six Sigma Certifications
• PMP, PgMP, or similar project management certification
• Experience in the autonomous vehicle, ride-hail, transportation, or other relevant mobility industries
• Experience with Lean/Six Sigma methodologies and ideally, possessing certifications

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.