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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.\nIn this role, you will:\nPartner with Autonomy V&V engineering managers to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables\nYou'll drive and support teams of software engineers and data engineers/scientists to stand up cutting-edge evaluation pipelines leveraging statistics, simulation, and other methods\nYou'll play a defining role in building scalable systems that improve how we evaluate autonomy behavior at Zoox\nYou'll work with cross-functional stakeholders to proactively identify gaps, escalate risks, drive bug closure, and contribute to test coverage tracking\nYou'll be a trusted partner to engineering leadership and the go-to person for unblocking teams and driving solutions\nQualifications\nBS/MS degree in computer science, engineering or equivalent job experience\nAt least 6 years of experience in engineering program management\n\nStrong track record of managing complex cross-functional projects and problem-solving\n\nAn ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience\n\nDeep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, Smartsheet, JIRA, etc.)\n\nExcellent written, presentation, and verbal communication skills are a must, ability to create visualizations of KPIs and program risks\n\nBonus Qualifications\nExperience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes is highly desired\nExperience working on complex safety-critical 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