As Zoox embarks on expanding our fleet of robotaxis, the development of the infrastructure to support our fleet will continue to be a critical first step in expansion. In the role of Senior Real Estate Capacity & Topology Planner, you will be responsible for accurately modeling and tracking capacity needs for all new and expanded service markets. The candidate will need to be highly analytical with the ability to condense inputs from multiple sources in order to develop a consolidated model of future capacity needs.
In this role, you will:
Maintain an understanding of Zoox’s current deployed fleet as well as future projected growth
Act as the primary planner and tracker for Zoox Service & Maintenance location and capacity planning
Work in conjunction with Zoox Strategy, Go-To-Market, and Fleet Operations Teams to define and update long-term capacity requirements.
Develop robust models to clearly evaluate and communicate capacity requirements to stakeholders and leadership
Track high-level progress of all Operations Infrastructure projects to confirm alignment against anticipated fleet sizing, flagging misalignments or risks to leadership
Work with Zoox Operations teams to continually evaluate and refine capacity ratio targets against projected fleet counts
Make recommendations to Capital Projects team on sizing, scope, and location of future projects
Help prioritize projects based on balancing short and long-term company milestones
Qualifications
Bachelor's degree in Business Administration or other related degree
Minimum of 8 years experience in a capacity planning or operations analytics-related field
Ability to create robust and dynamic models in excel, Google Sheets or other software programs
Ability to navigate through ambiguity and consolidate multiple data points into a single model
Ability to create professional, executive-level presentations
Ability to clearly present complicated data and points of view to cross-functional teams, including senior leadership.
Bonus Qualifications
Masters in Business Administration (MBA)
Direct experience in the EV or Autonomous Vehicle Industry
