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Amazon

AI Program Lead, OTR Planning

Amazon is hiring an AI Program Lead, OTR Planning in Bellevue, United States. It pays $67k-$117k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Low Code AI Tools, AI adoption and program management.
  • Level classifies it as a lead role.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted within the past two weeks.

AI in this role

Drive AI adoption, manage use-case pipelines, and coach frontline teams on AI tools across the logistics network.

Low Code AI Tools
ai-adoptionprogram-managementchange-managementstakeholder-influenceuse-case-prioritization
Amazon Logistics (AMZL) is seeking an experienced candidate to identify, create, develop and integrate innovative solutions and programs that lead to improvements in our last mile delivery network and drive AI adoption across corporate and frontline teams. This role will focus on building the culture, tools, and measurement systems that make AI part of daily work, prioritizing based on real team needs rather than a fixed technology mandate. A successful candidate will be able to deliver measurable gains in adoption, efficiency, and cost avoidance across Amazon Logistics, OTR Planning. This individual will be expected to activate and coach a Champion network, manage a use-case pipeline from idea to launch, and report progress to senior leadership on a recurring cadence. Judgment on which tools actually solve a team's problem is paramount, along with strong program management and stakeholder influence skills. In this role you will be responsible for adoption strategy and culture change, use-case prioritization and delivery in partnership with Orbit, and impact measurement and reporting.

Key job responsibilities
- Own AI adoption strategy and drive the "AI-everywhere" culture shift: design hands-on experimentation programs (Shark Tanks, hackathons, lunch and learns), activate and coach a 10-15 person AI Champion network, and publish a weekly practical-tips newsletter.
- Build organizational self-sufficiency with the right AI tools for each job family: validate real use cases, then coach the owner to build their own solution with low-code AI tools, jumping in as a hands-on builder yourself when that moves things faster.
- Own the use-case intake and prioritization pipeline: crowdsource ideas, evaluate against impact and effort, and spot patterns that reveal a shared infrastructure gap. Partner with Orbit and other tech teams to build the platform capability, like a system connector, that unlocks the category for owner-builders.
- Define success metrics before building, not after: track adoption, usage, and time saved for every use case, calculate ROI, and report impact to leadership on a recurring cadence.
- Own the AI Center of Excellence as the organization's single source of truth for tools, playbooks, and training, organized by job family and kept current as tools and use cases evolve.
- Report AI adoption and impact metrics to the leadership through a monthly steering committee and quarterly report.

A day in the life
You start your morning publishing this week's AI Flash: one practical tip and a success story from a recent tool adopter. You spend an hour in Champion office hours, troubleshooting a use case and coaching two Champions for their first session. Midday, you review three use-case submissions: two go to their owners with a build plan. In the afternoon, you walk your leadership through this month's dashboard, then close the day in the hallway, spotting where AI is working.

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
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules

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 - 66,800.00 - 116,800.00 USD annually
USA, TX, Austin - 74,200.00 - 129,800.00 USD annually
USA, WA, Bellevue - 82,700.00 - 129,800.00 USD annually

How we rate this

AI Program Lead, OTR Planning at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AdoptionProgram ManagementChange ManagementStakeholder InfluenceUse Case PrioritizationLow Code AI Tools

Questions you could be asked

  1. Tell me about a project where ai adoption was part of your work. What did you do?
  2. Tell me about a project where program management was part of your work. What did you do?
  3. Tell me about a project where change management was part of your work. What did you do?
  4. Tell me about a project where stakeholder influence was part of your work. What did you do?
  5. Tell me about a project where use case prioritization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Adoption, Program Management, Change Management, Stakeholder Influence, and Use Case Prioritization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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