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Zoox

Manager, Technical Program Management - Artificial Intelligence

foster city, CA

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Job description

Zoox's Autonomy Technical Program Management (TPM) team is seeking a leader to manage our autonomy perception TPM team. As the manager of our autonomy perception TPM team, you will partner with management on strategy, roadmapping, improvement of our development & release processes, and guidance of the perception team towards delivering Zoox's needs. You will be responsible for a team of TPMs and handle performance, mentoring, career growth, retention, and hiring. You and your team will work with the various sub-teams and initiatives within the autonomy software organization and stakeholders across Zoox to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

In this role, you will:

Lead an experienced team of TPMs and leverage your technical & managerial skills to deliver high-impact results, while growing the TPM team through hiring & guiding the professional development of team members

Set the program management direction for the autonomy perception TPM team, and iterate on our development processes

Work with autonomy and perception software department leaders to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables.

Create and deliver technical presentations that explain program initiatives to downstream consumer teams

Represent the team in cross-departmental forums, with key stakeholders, and in executive meetings

Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments

Qualifications BS or MS degree in computer science, engineering or equivalent job experience

At least 10 years of experience in engineering, program management, or management consulting

At least 5 years of experience managing a team of technical program managers

Deep familiarity with autonomy software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrixes, Smartsheet, JIRA, etc.)

An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience

Bonus Qualifications Experience with Perception, AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes

Experience with developing and scaling strategy, processes, plans, procedures, reporting and handling escalations

Experience managing through other managers.

$213,000 - $295,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Worksite address

foster city, CA, 94420, US

Who can apply

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