Zoox

Fully electric autonomous ride-hailing service platform

Senior/Staff Technical Program Manager - Artificial Intelligence

Program ManagementConfirmed live in the last 24 hours

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

About the Job

Requirements

A Bachelor of Science or Master of Science degree in computer science or engineering, or equivalent job experience.
At least 6 years of experience in engineering program management.
Experience with artificial intelligence or machine learning, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes.
A strong track record of managing complex cross-functional projects and solving problems.
Ability to keep the big picture in focus and provide clear, well-structured, concise communications tailored to each audience.
Deep familiarity with software development processes and proficiency with tools or processes for managing complex projects, such as Gantt charts, risk matrices, Smartsheet, and JIRA.
Ability to create visualizations of key performance indicators and program risks.

Responsibilities

Partner with engineering managers in the Autonomy teams—Perception, Prediction & Behavioral Machine Learning, TeleGuidance, Planning & Controls, and Collision Avoidance System—to translate corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.
Drive cross-functional teams across Autonomy to build and execute solutions for improving driving behavior.
Collaborate with engineering to develop underlying measurements and datasets for Driving Behavior key performance indicators.
Highlight potential risks and proactively develop risk-mitigating actions.
Build and deliver executive presentations on program status, issues, risks, and accomplishments.

Desired Qualifications

Experience developing and scaling strategy, processes, plans, procedures, reporting, and handling escalations.
Strong references that highlight the ability to build working relationships with senior leaders, program managers, and engineers across functions and departments.

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

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

In this role, you will:

Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables
Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior
Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs
Highlight potential risks and proactively build out risk-mitigating actions
Build and deliver executive presentations on program status, issues/risks, and accomplishments

Qualifications

BS/MS degree in computer science, engineering or equivalent job experience
At least 6 years of experience in engineering program management
Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes
Strong track record of managing complex cross-functional projects and problem solving
An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience
Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, Smartsheet, JIRA, etc.)
Excellent written, presentation, and verbal communication skills are a must, ability to create visualizations of KPIs and program risks

Bonus Qualifications

Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations
Strong references that highlight your ability to build strong working relationships with senior leaders, program managers, and engineers across functions and departments

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.

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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