Own complex, cross-organizational AI/ML programs from strategy through delivery. Build roadmaps, schedules, milestones, budgets, metrics, and risk-management processes while aligning engineering teams and senior stakeholders. Present trade-offs and recommendations to leadership, resolve ambiguous priorities, improve program execution, scale TPM tooling and practices, and mentor other technical program managers.
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, product and beyond 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 program schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.
In this role, you will:
- Own and drive Zoox's most complex, cross-organizational AI/ML programs, spanning multiple engineering teams and director-level+ stakeholders, from strategy through delivery
- Translate ambiguous, top-down corporate strategy into structured roadmaps, resolving conflicting priorities across teams before they become executive-level escalations
- Define and track program-level metrics, using data to proactively surface systemic risks and drive process improvements across the org
- Present program status, trade-offs, and recommendations directly to senior leadership, building credibility and alignment at the executive level
- Build and scale program management practices, tooling, and processes for the broader TPM function, and mentor other TPMs
Qualifications
- BS/MS in computer science, engineering, technical field, or equivalent job experience
10-12+ years of experience in engineering program management, including experience owning programs spanning multiple orgs or director-level+ stakeholders - Deep experience with AI/ML, autonomous vehicles, computer vision, reinforcement learning, simulation, and/or automotive or aerospace processes
- Demonstrated track record of resolving high-ambiguity, cross-organizational risks and driving alignment across senior leadership
- Experience building or scaling program management processes, strategy, and tooling for a broader team or function
- Excellent written and verbal communication, with the ability to flex between technical depth with engineers and strategic framing with executives
Bonus Qualifications
- Experience in the AV industry or robotics
- Experience integrating AI tools/agents into program management workflows
- Experience using JIRA or other similar tools
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.
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
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