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
Skills Required
- 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
- Strong track record of managing complex cross-functional projects
- Deep familiarity with software development processes
- Excellent written, presentation, and verbal communication skills
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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