Technical Program Manager, Availability Serviceability Team

Amazon is hiring a Technical Program Manager, Availability Serviceability Team. It pays $127k-$172k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI Pipelines, program management and data engineering among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Own the multi-year MBOM program, scaling AI-powered pipelines for data center equipment and spares planning.

ai-pipelines

program-managementdata-engineeringinfrastructure-managementprocess-optimization

The AWS Data Center Availability Serviceability team works with hundreds of AWS data centers globally to deliver the highest quality and lowest cost availability, capacity, and scaling results for our customers. We standardize operations globally by delivering tools, policy, processes, and procedures to our internal teams.

Serviceability is the ability to maintain, repair, and manage infrastructure assets efficiently throughout their lifecycle -- encompassing maintenance standards, spares management, training and certifications, operational readiness, and the systematic use of data and automation to prevent disruptions and drive continuous improvement.

We are seeking a Technical Program Manager to own the MBOM program as part of the AWS Data Center Availability Serviceability Critical Spares team. MBOMs define which parts make up each piece of critical infrastructure equipment and are foundational to programmatic spares planning and fulfillment -- enabling proactive stocking decisions, criticality assessments, and repair readiness across the global fleet.

What you will do:

You will own the development and delivery of a multi-year roadmap to establish comprehensive MBOM coverage across the global AWS fleet. Working with stakeholders across Field Engineering, DCEO, vendors, and lifecycle data teams, you will scale AI-powered pipelines that extract MBOM data from vendor documentation, define per-equipment MBOM standards, and design the processes for establishing MBOMs where source documentation does not exist. Your work sets the foundation for programmatic spares identification, criticality assessment, and fulfillment -- ensuring the right parts are available at the right locations before failures occur. You will build the mechanisms that keep MBOM data current as the fleet grows, diversifies into new cooling technologies, and introduces new vendors.

Why it matters:

Spares readiness starts with knowing what's inside the equipment. MBOM is the data layer that connects equipment design to spares strategy to repair outcomes. With comprehensive MBOM coverage, we can programmatically identify critical parts, make proactive stocking decisions, and reduce time to repair -- directly improving data center availability for customers.

Why you will love it:

You will own a program that is genuinely novel -- building something that didn't exist two years ago, using AI tooling that is still maturing, against a problem (fleet-wide MBOM completeness) that no one has solved at this scale. You will operate in high ambiguity with real ownership to define what good looks like. You will work across PLM systems, enterprise asset management, spares strategy, and physical equipment -- giving you breadth that most TPM roles don't offer. And your output has direct, measurable impact: every MBOM you complete makes the fleet more repairable.

Key job responsibilities
- Own MBOM program strategy, execution, and completeness metrics across the global fleet
- Operate and scale AI-assisted pipelines that convert vendor documentation into governed MBOM records
- Define and execute the process for establishing MBOMs where vendor documentation is limited or unavailable
- Ensure MBOM data flows into criticality assessments and stocking decisions within the Critical Spares program
- Define per-equipment MBOM standards in partnership with Field Engineering and equipment owners
- Build mechanisms to maintain MBOM accuracy as new equipment deploys and the fleet evolves (including liquid cooling)
- Drive cross-functional coordination across Availability, Field Engineering, DCEO, and lifecycle data teams
- Use data and metrics to measure program health, prioritize effort, and communicate progress
- Write narratives (one to six pages) and present to Director-level leadership
- Travel up to 10%

A day in the life
You will split your time between program execution and cross-functional coordination. On any given day you might be reviewing AI pipeline output quality with the tooling team, defining MBOM standards for a new equipment type with Field Engineering, working with a vendor to obtain documentation for legacy equipment, analyzing coverage gaps to prioritize the next tranche of MBOMs, or presenting program status and trade-off decisions to leadership. You will operate at both the strategic level - setting the roadmap for fleet-wide MBOM completeness - and the tactical level - digging into specific equipment families where data doesn't exist.

Basic qualifications

- 3+ years of technical product or program management experience
- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 2+ years of analytical, quantitative, communication, and presentations experience
- 2+ years of experience with bill of materials, spare parts management, or enterprise asset management (CMMS/PLM) systems

Preferred qualifications

- Experience with data analysis tools such as Excel, Pivot Tables, SQL, Tableau, etc.
- Knowledge of data center infrastructure design, operations, or delivery
- Experience working closely with development and business teams to communicate problem impacts and to understand business requirements
- Experience interpreting technical or engineering documentation such as drawings, parts lists, vendor manuals, or specifications
- Experience operating or managing AI/ML-assisted tools, automation pipelines, or data engineering workflows
- Experience working with vendor technical teams or OEM partners

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, VA, Herndon - 127,100.00 - 172,000.00 USD annually

How we rate this

Technical Program Manager, Availability Serviceability Team at Amazon rates 60 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

Technical Program Manager, Availability Serviceability Team is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $127k-$172k a year.
The role is based in US, VA, Herndon.
The job was posted on August 5, 2026.
Seniority: mid.
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 EngineeringInfrastructure ManagementProcess OptimizationAI Pipelines

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 engineering was part of your work. What did you do?
Tell me about a project where infrastructure management was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?
Walk me through how you've used AI Pipelines in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Program Management, Data Engineering, Infrastructure Management, Process Optimization, and AI Pipelines. 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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