Zoox

Fully electric autonomous ride-hailing service platform

Manager – Technical Program Management - Artificial Intelligence

Program ManagementConfirmed live in the last 24 hours

Full-timeFoster City, CA, USA$213k - $295k /yrHybrid

About the Job

Requirements

A Bachelor of Science or Master of Science degree in computer science or engineering, or equivalent job experience.
At least 10 years of experience in engineering, program management, or management consulting.
At least 5 years of experience managing a team of technical program managers.
Deep familiarity with autonomy software development processes and proficiency with tools or processes for managing complex projects, such as Gantt charts, risk matrices, Smartsheet, and JIRA.
Ability to keep the big picture in focus and communicate clearly, concisely, and in a well-structured manner tailored to each audience.

Responsibilities

Partner with management on strategy, roadmapping, development and release process improvement, and guiding the perception team toward delivering organizational needs.
Manage the autonomy perception technical program management team, including performance, mentoring, career growth, retention, and hiring.
Work with sub-teams and initiatives within the autonomy software organization and stakeholders across the company to develop project schedules, identify milestones, flag risks, estimate budgets, and communicate ongoing progress.
Lead an experienced team of technical program managers, deliver high-impact results, hire and guide team members’ professional development.
Set program management direction for the autonomy perception technical program management team and iterate on development processes.
Work with autonomy and perception software department leaders to translate corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.
Create and deliver technical presentations explaining program initiatives to downstream consumer teams.
Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings.
Establish standard reports to communicate program status, issues, risks, and accomplishments to key stakeholders.

Desired Qualifications

Experience with perception, artificial intelligence or machine learning, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, or automotive or aerospace processes.
Experience developing and scaling strategy, processes, plans, procedures, and reporting, and handling escalations.
Experience managing through other managers.

Salary Range: 213000 to 295000 (Currency: USD) (Pay period: per-year-salary)

Zoox’s Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox’s needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

In this role, you will:

Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members
Set the program management direction for the autonomy perception TPM team, and iterate on our development processes
Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.
Create and deliver technical presentations that explain program initiatives to downstream consumer teams
Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings
Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments

Qualifications

BS or MS degree in computer science, engineering or equivalent job experience
At least 10 years of experience in engineering, program management, or management consulting
At least 5 years of experience managing a team of technical program managers
Deep familiarity with autonomy software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrixes, Smartsheet, JIRA, etc.)
An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience

Bonus Qualifications

Experience with Perception, AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes
Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations
Experience managing through other managers.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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