Senior Technical Program Manager - Vehicle Attributes
@ ZooxSenior Technical Program Manager - Vehicle Attributes
About the job
Zoox develops fully autonomous vehicles and ecosystems for urban mobility. The Senior TPM for Vehicle Attributes manages hardware development, risk mitigation, and cross-team coordination in a dynamic, robotics-focused company.
Requirements
- 8+ years in program management
- Experience with automotive or robotics hardware
- Deep vehicle systems knowledge
- Expert in JIRA workflows
- Autonomy and synthesis skills
Qualifications
- Bachelor’s in Engineering or related
- Experience with autonomous platforms
- Fast-paced environment experience
- High autonomy and calmness
Full job description
In this role you will:
Own the end-to-end delivery of critical vehicle attribute milestones, proactively clearing technical bottlenecks to keep programs on track.
Partner with attribute and test leads to surface local risks (e.g., vehicle downtime, hardware shortages) and architect immediate recovery plans.
Design and maintain lightweight JIRA workflows, sprint cadences, and reporting rituals that maximize engineering focus and minimize admin debt.
Act as the primary interface for cross-functional requests, ensuring hardware, software, and validation dependencies are tightly coordinated.
Translate fast-moving, complex technical data into concise, actionable updates for leadership.
Qualifications
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).
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.
A proven "closer" mindset with a high sense of autonomy, excellent synthesis skills, and a calm demeanor under shifting priorities.
Bonus Qualifications
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.
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