Principal Technical Program Manager, Amazon Stores Finance Tech

Amazon is hiring a Principal Technical Program Manager, Amazon Stores Finance Tech in Seattle, United States. It pays $177k-$239k 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 finance role: the daily work is on AI products, without building the model.
The listed pay starts 68% above the typical finance posting on Level.
Tools and skills the posting cites include Generative AI, LLM and program management.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Lead the strategic evolution of financial analytics platforms using LLM-powered workflows and modern data architecture.

generative-aillm

program-managementdata-architectureanalyticsstakeholder-management

Do you thrive at the intersection of technology strategy and large-scale program execution? The Amazon Stores Finance Tech Team is looking for a Principal Technical Program Manager to lead the strategic evolution of our financial analytics platforms supporting the Global Customer Fulfillment network. This role requires an AI-native mindset — using Generative AI tools and automation as a core part of how you plan, execute, and deliver.

As a Principal Technical Program Manager supporting Global Customer Fulfillment Analytics, you will own the program strategy, multi-team execution, and stakeholder alignment for data solutions delivery, Large Language Model (LLM)-powered reporting workflows, autonomous data pipelines, and scalable platform capabilities across one of Amazon's largest finance organizations. You will orchestrate the transition from legacy systems to a modern data lakehouse architecture, ensuring Finance customers have reliable, performant access to the insights they need. This means navigating interdependent tools and platforms, driving alignment across competing priorities, making high-judgment calls with incomplete information, and adapting roadmaps as new internal products evolve.

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, analytics, and platform modernization across Worldwide Operations Finance
- Drive consensus among Tech and Finance partners on strategic roadmaps and prioritization; influence the direction of multiple engineering teams and advise senior leaders on program strategy and trade-offs
- Lead the transition from legacy financial reporting systems to a modern data lakehouse architecture with AI-powered automated workflows, managing schedules, risks, and success metrics across interdependent teams
- Champion the adoption of Generative AI tools and automation across program management workflows, establishing best practices for AI-assisted planning, execution, and reporting
- Mentor Technical Program Managers and cross-functional team members, sharing program management best practices and raising the quality of execution across the organization

A day in the life
You start your morning reviewing program metrics and dashboards to identify emerging risks. Mid-morning, you facilitate a cross-team alignment meeting where engineering leads debate technical trade-offs — your role is to guide the discussion toward a clear decision. After lunch, you draft a program update narrative for senior leadership, distilling technical progress into concrete business outcomes. Later, you connect with a partner team to negotiate a dependency timeline and unblock a critical deliverable.

About the team
The Stores Finance Tech Team builds and operates the data infrastructure and analytics platforms that power financial planning and reporting for Amazon's Global Customer Fulfillment network — a finance organization supporting hundreds of fulfillment and logistics sites worldwide. Our team of engineers, data scientists, and program managers partners closely with Operations Finance leaders to deliver reliable, timely insights that inform capital allocation, cost optimization, and operational decisions at scale.

We are in the middle of a multi-year platform modernization, migrating from legacy reporting systems to a lakehouse architecture augmented by Generative AI capabilities. If you want to shape how a large finance organization consumes and acts on data, this is the team to join.

Basic qualifications

- 10+ 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

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

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, WA, Seattle - 177,000.00 - 239,400.00 USD annually

How we rate this

Principal Technical Program Manager, Amazon Stores Finance Tech 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.

Key facts

Principal Technical Program Manager, Amazon Stores Finance Tech is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $177k-$239k a year.
The role is based in US, WA, Seattle.
The job was posted on October 28, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Program ManagementData ArchitectureAnalyticsStakeholder ManagementGenerative AILLM

Also common in finance jobs at this level

SQL Python AI agents AWS Machine learning Snowflake

Pay

This job starts at: $177k
Typical finance job: $105k

This posting starts 68% above the typical finance job. See finance jobs

Questions you could be asked

Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where data architecture was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where stakeholder management was part of your work. What did you do?
Walk me through how you've used Generative AI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Program Management, Data Architecture, Analytics, Stakeholder Management, and Generative AI. 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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