Program Timing Analyst (Automotive)

Location: Foster City, California, United States. Workplace: On-site

Company

Zoox develops autonomous vehicles and related vehicle programs.

What you will do

• Build and maintain integrated master schedules, key milestones, task dependencies, critical paths, and resource requirements across the vehicle product development lifecycle.
• Track program progress against baselines and identify bottlenecks, delays, schedule risks, and critical path issues.
• Develop mitigation plans and escalate timing issues with actionable recommendations.
• Prepare timing status reports, executive dashboards, timeline presentations, and KPI reporting for management gateway reviews.
• Coordinate sourcing, tooling, validation, manufacturing, quality, and launch milestones across cross-functional teams.
• Maintain scheduling tools and standardize timing templates while improving program scheduling processes and methodologies.

Requirements

• 5+ years of experience in program scheduling, project planning, or timing analysis.
• Experience in automotive or manufacturing program environments.
• Knowledge of automotive product development processes, including APQP and gateway or phase reviews.
• Understanding of vehicle program milestones such as SOP, PPAP, launch, and ramp-up.
• Understanding of engineering, tooling, manufacturing, supplier readiness, validation, testing, and homologation timing dependencies.
• Ability to work on-site in Foster City, California.

Nice to have

• Bachelor's degree in Engineering, Business, Project Management, or a related field.
• Project management certification such as PMP.

Culture & Benefits

• Full-time employment with salary, Amazon Restricted Stock Units, and Zoox Stock Appreciation Rights.
• A sign-on bonus may be offered as part of the compensation package.
• Paid time off, including sick leave, vacation, and bereavement leave, plus unpaid time off.
• Health, long-term care, disability, and life insurance benefits.
• Compensation varies based on geographic location, level, experience, domain knowledge, and interview performance.