About this role
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