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Amazon

Program Manager II, Transportation Engineering Systems, Transportation Engineering Systems

Amazon is hiring a Program Manager II, Transportation Engineering Systems, Transportation Engineering Systems in Bellevue, United States. It pays $74k-$130k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

As a Program Manager on the Transportation Engineering Systems (TESS) team, you will learn how Amazon's proprietary transportation systems make decisions to move packages from the fulfillment network to customers. You will manage system configuration changes that control those systems, working directly with business leaders and program teams to create new transportation flows and design configurations that execute at scale. In this role, you will execute network design changes, dive deep into package flows, troubleshoot system errors, identify process improvements, and build automation, analytics, and reporting capabilities leveraging AI.

Key job responsibilities
Manage system configuration changes across Amazon's proprietary transportation systems to support new and existing package flows
Track program milestones and communicate status to business leaders and stakeholders
Execute network design changes end-to-end, coordinating with business leaders and program teams to ensure timely delivery
Dive deep into package flow data to troubleshoot system errors, identify root causes, and implement fixes
Identify process improvement opportunities and build automation to reduce manual effort and increase accuracy
Develop analytics and reporting capabilities leveraging AI to drive data-driven decision-making
Proactively identify and mitigate risks in system configurations before they impact customers
Document processes, standard operating procedures, and configuration playbooks for the team

A day in the life
Your daily execution responsibilities will come via an intake queue which generates work tickets assigned to you. There could be a variety of audit and reporting duties as well. You will review dashboards and metrics that track transportation network performance, identifying opportunities for optimization. Throughout the day, you'll attend or facilitate meetings with cross-functional teams—from operations managers to software engineers—ensuring alignment on priorities and removing roadblocks. You'll work autonomously to solve ambiguous problems, whether that's defining requirements for a new system feature or analyzing why a particular network configuration isn't performing as expected. Your work directly influences decisions about how Amazon moves packages from fulfillment centers to customers' doorsteps.

About the team
The Transportation Engineering Systems (TESS) team sits at the critical intersection of Amazon's business operations and technical infrastructure. We're responsible for configuring and optimizing the transportation network that powers Amazon's logistics operations globally. Our team culture values data-driven decision-making, customer obsession, and innovative problem-solving. We work collaboratively across organizational boundaries, partnering with operations teams, software engineers, and business leaders to deliver solutions that scale. As part of TESS, you'll contribute to systems that impact millions of customer deliveries while working with talented professionals who are passionate about operational excellence.

Basic qualifications

- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams

Preferred qualifications

- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- Experience of Six Sigma/ Lean analytical techniques

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, AZ, Tempe - 74,200.00 - 129,800.00 USD annually
USA, WA, Bellevue - 82,700.00 - 129,800.00 USD annually

How we rate this

Program Manager II, Transportation Engineering Systems, Transportation Engineering Systems at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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