Level

Amazon

Principal Technical Program Manager, R2L - Analytics & AI

Amazon is hiring a Principal Technical Program Manager, R2L - Analytics & AI in Bellevue, United States. It pays $195k-$263k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Generative AI, program management and AI strategy.
  • Level classifies it as a lead role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted within the past week.

AI in this role

Leads multi-year AI and analytics programs across the ultra-fast supply chain network, driving generative AI adoption and roadmaps.

generative-ai
program-managementai-strategydata-engineeringbusiness-intelligenceanalytics
The R2L (Rapid and Rural Logistics) team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences, including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!

We are looking for a Principal Technical Program Manager (TPM) to lead our most complex, cross-organizational technical programs spanning AI/ML, data engineering, and business intelligence. In this role, you will own the end-to-end delivery of our multi-year AI roadmap across the R2L value chain — Launch, Planning, Operations, and Analytics — translating ambiguous business strategy into executable technical programs that deliver measurable impact at scale.

As the senior-most TPM on the team, you will operate with significant autonomy, setting the technical program strategy rather than executing a predefined plan. You will drive alignment across Product, Business Intelligence Engineering, Data Engineering, Data Science, and Systems Development, and partner directly with senior leadership (Director/VP) to shape priorities, surface tradeoffs, and remove organizational blockers. You will be trusted to identify which problems are worth solving, define the approach, and hold a large, distributed set of stakeholders to a single coherent plan.

This is a high-visibility role with a broad blast radius. The programs you lead directly inform leadership decision-making, carry significant cost-savings entitlement, and set the foundation for autonomous, self-optimizing operations across the R2L network. You will raise the bar for technical program management across the organization — establishing mechanisms, standards, and operating rhythms that other teams adopt.

Key job responsibilities
- Own the lifecycle of large, complex, multi-team technology programs from concept through delivery — defining the long-term roadmap for data solutions, intelligent analytics, and platform modernization across the R2L value chain (Launch, Planning, Operations, and Analytics).
- Champion the adoption of Generative AI tools, drive measurable productivity gains, and establish best practices for AI-assisted planning, execution, and reporting.
- Drive alignment across senior stakeholders — Product, Business Intelligence Engineering, Data Engineering, Data Science, and Systems Development — on definitions, standards, architecture, and priorities.
- Influence system owners, architecture decisions, and organizational priorities across VP orgs, operating effectively without direct authority.
- Establish scalable delivery mechanisms — intake, prioritization, roadmap governance, operating cadences, and risk management — adopted across the org.
- Own program communication — drive crisp decisions, clear blockers, escalate appropriately, and present effectively to senior leadership; draft strategic documents (MTR, MBR/QBR, design docs, PR/FAQ, OP1/OP2) that synthesize complex problems into clear narratives.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan  

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic qualifications

- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field

Preferred qualifications

- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Master's degree in Business Administration, Finance, Economics, Computer Science, or a related field

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, NY, New York - 194,700.00 - 263,400.00 USD annually
USA, WA, Bellevue - 177,000.00 - 239,400.00 USD annually

How we rate this

Principal Technical Program Manager, R2L - Analytics & AI 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

Program ManagementAI StrategyData EngineeringBusiness IntelligenceAnalyticsGenerative AI

Questions you could be asked

  1. Tell me about a project where program management was part of your work. What did you do?
  2. Tell me about a project where ai strategy was part of your work. What did you do?
  3. Tell me about a project where data engineering was part of your work. What did you do?
  4. Tell me about a project where business intelligence was part of your work. What did you do?
  5. Tell me about a project where analytics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Program Management, AI Strategy, Data Engineering, Business Intelligence, and Analytics. 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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