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