Senior Technical Program Manager, Logistics

At Zoox, our Logistics team enables seamless, scalable, and efficient material flow across the supply chain, ensuring the timely delivery of components critical to vehicle manufacturing and service operations. We value collaboration, innovation, and a commitment to operational excellence.

This Senior Technical Program Manager (TPM) role is pivotal in leading large-scale logistics transformation initiatives as Zoox transitions from prototype and R&D builds into high-volume automotive production. You will drive standardization, scalability, and technology integration across inbound, warehouse, and outbound operations, partnering with engineering, manufacturing, and supply chain teams to deliver world-class logistics systems that support Zoox's growth.

In this role, you will:

• Lead complex, cross-functional logistics programs aligning with key company milestones from concept through execution, enabling the transition from pilot builds to scaled production.
• Drive strategic change management, developing and deploying scalable frameworks, standard processes, and best practices across logistics and warehouse operations.
• Establish and govern logistics standards and KPIs to ensure performance, budget, safety, quality, efficiency, and compliance across all sites.
• Partner cross-functionally with Engineering, Supply Chain, Planning, Operations, Manufacturing, Service, and Facilities to align logistics readiness with company milestones.
• Manage large-scale initiatives (e.g., new warehouse implementations, automation deployments, material flow redesigns) balancing short-term build needs with long-term scalability.
• Integrate technology, automation, and lean practices into logistics operations to improve throughput, accuracy, and sustainability.
• Design and optimize inbound, warehouse, and outbound logistics processes to maximize efficiency, reduce costs, and meet operational requirements while engaging key stakeholders to drive solutions. Analyze material flow patterns to identify inefficiencies, implement strategies to reduce lead times, and manage cross-functional issue resolution.
• Mentor and lead cross-functional project teams, providing structure, accountability, and clarity around priorities, deliverables, and risks. Create and implement standards for best practices on methodologies, tools and processes for consistent execution.
• Develop and manage schedules, risk registers, and reporting tools (Smartsheet, MS Project, etc.) to ensure on-time, in-scope delivery of logistics programs.

Travel Requirements: 25%

On-site Requirement: 4-5x per week in the office when not traveling.

Qualifications

• Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics, or a related field.
• 8+ years of experience in automotive logistics, manufacturing, or technical program management within high-scale industries (aerospace, medical device, or electronics preferred).
• Proven success leading large, multi-site logistics or warehouse transformation programs from design to implementation.
• Deep knowledge of logistics engineering, supply chain, transportation, material flow optimization, and warehouse design.
• Demonstrated ability to drive organizational change, standardize operations, and scale new processes.
• Strong skills in program management, risk mitigation, and stakeholder alignment across cross-functional technical and operational teams.
• Exceptional communication and executive presentation skills; capable of influencing at all organizational levels.
• Experience with ERP/WMS systems (SAP preferred) and program management tools (Smartsheet, MS Project).
• Strong analytical, data-driven mindset; comfortable with metrics, dashboards, and performance tracking.

Bonus Qualifications

• Master's degree in Industrial Engineering, Supply Chain, or Logistics-related field.
• PMP/PgMP or Lean/Six Sigma certification.
• Experience launching greenfield logistics operations or scaling facilities for mass production.
• Proficiency with AutoCAD and time studies for layout design and labor/equipment analysis.
• Familiarity with SQL, Python, or simulation tools for decision support.
• Knowledge of ISO 9001, IATF 16949, and OSHA/EHS standards in logistics and manufacturing environments.

$163,000 - $220,000 a year

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.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.