Job description

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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.

Requirements

Must-haves

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
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
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

Nice-to-haves

Bonus Qualifications

Application prep

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Keywords to mirror

mlaijiramachine learning

Platform: lever
Effort: quick

Benefits

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