Zoox

Zoox

Senior Technical Program Manager - Vehicle Attributes

Foster City, CA · Senior

Sponsorship not specified$186k-$233kDetected 13 days ago
Machine LearningJiraRobotics

About the role

  • As the Senior Technical Program Manager (TPM) for Vehicle Attributes, you will be the operational engine and technical coordinator behind vehicle attribute development (NVH, sound and voice, ride and handling, etc.).
  • The listed range applies only to the base salary.
  • The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Responsibilities

  • Own the end-to-end delivery of critical vehicle attribute milestones, proactively clearing technical bottlenecks to keep programs on track.
  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

Requirements

  • 8+ years of technical program management experience delivering complex automotive, aerospace, or robotics hardware programs.
  • Bachelor's degree in Engineering, Computer Science, or a related technical field (or equivalent practical experience).
  • A proven "closer" mindset with a high sense of autonomy, excellent synthesis skills, and a calm demeanor under shifting priorities.
  • Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
  • 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.
  • Deep understanding of vehicle systems, development cycles, and prototype/pre-production testing.
  • Expert-level capability structuring JIRA boards, workflows, and dashboards for real-time project health visibility.
  • Bonus Qualifications
  • 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. 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.

Nice to have

  • Advanced degree (MS/PhD) in Mechanical, Aerospace, or Electrical Engineering.
  • Direct experience working with autonomous vehicle platforms, ADAS, or complex robotic systems.
  • Experience in a fast-paced startup or high-growth "execution-first" environment.
  • Familiarity with hardware-in-the-loop (HIL) testing and prototype vehicle asset management.

Compensation

  • 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.
  • The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
  • Compensation will vary based on geographic location and level.

This listing is sourced directly from Zoox's careers page and normalized into a canonical job model.