Senior/Staff Technical Program Manager, Zoox

• 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
• 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

Desirable

• 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
• 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

• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us