Analyze device health and failure data to identify root causes, implement preventive maintenance strategies, and build reporting mechanisms that enable proactive issue identification and data-driven decisions
Coordinate device repair strategy across transportation networks, aligning intake mechanisms, vendor relationships, and measurement standards to capture scale and reduce complexity
Communicate program status, technical risks, and recommendations clearly to senior leadership through well-structured narratives and regular business reviews
A day in the life
You might start the morning reviewing overnight device health trends and triaging new failure reports with your engineering counterparts. By mid-morning you are on a call with a repair vendor, working through turnaround-time gaps and agreeing on corrective actions. After lunch you pull together data for a leadership review, translating repair metrics into a clear narrative about fleet readiness. Later you join a design review with the product team to weigh in on a hardware change that could reduce a recurring failure mode. Throughout the day you move between strategic planning and hands-on problem solving, keeping multiple programs on track.
About the team
The Middle Mile Fleet Technology team is responsible for keeping Amazon's fleet technology running reliably at scale. We sit at the intersection of hardware engineering, service operations, and vendor management, and our work directly affects delivery performance across the network.
We are a collaborative group that values clear thinking, practical solutions, and a willingness to get into the details. If you enjoy solving complex operational problems and want to see the real-world impact of your work every day, this is a great place to be.
5+ years of program or project management experience
Experience using data and metrics to determine and drive improvements
Experience owning program strategy, end to end delivery, and communicating results to senior leadership
2+ years of driving process improvements experience
Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
Knowledge of general AI tools
Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 104,100.00 - 155,400.00 USD annually
USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually
USA, WA, Bellevue - 115,600.00 - 160,000.00 USD annually
