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Senior Program Manager, Variable Fleet, Global Fleet and Products

Amazon

Austin, TXJob$116–160K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$116–160K/yr
Location
Austin, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Amazon seeks a Senior Program Manager for its Variable Fleet team, part of Fleet Planning and Capacity. The role leads programs in fleet capacity planning, rental supply strategy, operational execution, cost optimization, and Delivery Service Partner experience across the Americas. It works with internal teams and external rental providers to balance supply and demand, improve utilization, and support year-round operations and High Volume Events.

Skills & qualifications

RequiredNice to have

Skills

Program Management, requiredData Analysis, requiredProgram Strategy, requiredEnd-to-End Delivery, requiredSenior Leadership Communication, requiredSupply Chain Management, requiredOperational Mechanisms, requiredFleet Management, nice to haveTransportation, nice to haveLast-Mile Logistics, nice to haveCapacity Planning Models, nice to haveDemand Forecasting, nice to haveCross-Functional Influence, nice to haveSQL, nice to haveData Visualization, nice to haveQuickSight, nice to haveTableau, nice to have

Qualifications

5+ Years Program or Project Management Experience, required5+ Years Supply Chain Experience or Bachelor's Degree, requiredMBA or Master's in Supply Chain, Operations Research, or Related Quantitative Field, nice to have

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

Do you want to be part of a team driving innovation, operational excellence, and efficiency across Amazon's Last Mile fleet? Amazon's Fleet Planning and Capacity (FPAC) organization is seeking a motivated Senior Program Manager to join the Variable Fleet team. This team plays a critical role in ensuring Amazon's delivery network has the right vehicles, in the right locations, at the right time to support year-round operations and High Volume Events (HVE), including Prime and Peak, across North and South America.

As a Senior Program Manager on the Variable Fleet team, you will lead complex, high-impact programs focused on fleet capacity planning, rental supply strategy, operational execution, cost optimization, and Delivery Service Partner (DSP) experience. You will work closely with internal stakeholders and external rental providers to develop scalable solutions that balance fleet supply and demand, improve vehicle utilization, and support Amazon's growing delivery network.

This role requires a strategic thinker who is equally comfortable diving deep into data, navigating ambiguity, solving complex operational challenges, and driving execution in a fast-paced environment. You will collaborate across Fleet Planning, Finance, Product, Technology, Procurement, Legal, and Operations to identify opportunities, influence decisions, and deliver measurable business results. The ideal candidate brings strong analytical skills, program management expertise, commercial and operational acumen, and the ability to lead cross-functional initiatives from strategy through execution.

You will have the opportunity to shape the future of Amazon's Variable Fleet programs, drive innovation, improve operational efficiency, and develop sustainable solutions that support both long-term fleet strategy and critical High Volume Event readiness.

Key job responsibilities

Lead strategic, cross-functional programs supporting Variable Fleet capacity planning, rental operations, and High Volume Event readiness across Amazon's North and South American Last Mile network.

Develop and execute scalable strategies to optimize fleet supply, utilization, cost efficiency, and operational performance.

Partner with internal teams and external rental providers to identify capacity opportunities, address supply constraints, and improve execution.

Analyze complex data, identify trends and risks, and develop actionable recommendations to support business decisions.

Drive continuous improvement and automation opportunities to simplify processes, reduce manual effort, and improve operational efficiency.

Own program performance, establish key metrics, and communicate progress, risks, and recommendations to senior leadership.

Improve the end-to-end Delivery Service Partner experience through stronger provider accountability, operational processes, and issue resolution.

Lead cross-functional initiatives through ambiguity, balancing short-term operational needs with long-term strategic priorities.

A day in the life

No two days are the same on the Variable Fleet team. You will operate at the intersection of strategy, planning, and execution, working across teams to solve complex fleet challenges and ensure Amazon's delivery network has the capacity needed to meet customer demand.

On any given day, you may be analyzing fleet supply and demand trends, developing strategies to optimize rental capacity and costs, collaborating with external providers, or working with cross-functional partners to solve operational challenges. During High Volume Events such as Prime and Peak, you will play a critical role in identifying fleet risks, developing solutions, and driving timely execution to support delivery operations.

You will regularly engage with senior leaders, influence business decisions through data-driven recommendations, and lead initiatives that improve efficiency, scalability, and the Delivery Service Partner experience. This is a fast-paced, highly collaborative role that offers the opportunity to think strategically, dive deep into the details, and make a direct impact on Amazon's Last Mile delivery network.

About the team

The Variable Fleet (VF) team, within Amazon's Fleet Planning and Capacity (FPAC) organization, develops flexible fleet solutions to support Last Mile operations across the Americas. We lead third-party rental strategy, provider partnerships, and Amazon Direct Rental (ADR), which strategically allocates rental vehicles to Delivery Service Partners (DSPs) to close fleet deficits. During High Volume Events (HVE), including Prime and Peak, we lead cross-functional efforts to close station- and DSP-level fleet gaps, ensuring vehicles are available to deliver customer packages. Our team focuses on cost optimization, operational efficiency, innovation, and improving the DSP experience while navigating complex challenges in a fast-paced environment.

Basic Qualifications

  • 5+ years of program or project management experience

  • Experience using data and metrics to determine and drive improvements

  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership

  • 5+ years of supply chain management (e.g. logistics, inventory turn management, forecasting, operations) experience, or Bachelor's degree

  • Experience building and scaling operational mechanisms (WBRs, dashboards, escalation frameworks)

Preferred Qualifications

  • Experience in fleet management, transportation, or last-mile logistics specifically

  • Experience with capacity planning models or demand forecasting

  • MBA or Master's degree in supply chain, operations research, or related quantitative field

  • Experience influencing cross-functional teams without direct authority in a matrixed organization

  • Proficiency in SQL and data visualization tools (QuickSight, Tableau)

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 - 115,600.00 - 160,000.00 USD annually

USA, TN, Nashville - 104,100.00 - 155,400.00 USD annually

USA, TX, Austin - 115,600.00 - 160,000.00 USD annually

USA, VA, Arlington - 115,600.00 - 160,000.00 USD annually

USA, WA, Bellevue - 115,600.00 - 160,000.00 USD annually

How this job compares

Set against the 10,712 open Program Manager jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$116–160K/yr
  • Texas median$118–199K/yr485 salary ranges
  • US median$120–201K/yr8,468 salary ranges

This range's midpoint, $138K, is 13% below the Texas median midpoint ($158K) — in the middle half of Program Manager salary ranges in Texas.

Openings
Olive Jobs lists 663 open Program Manager jobs in Texas and 10,712 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 5 years of experience; Program Manager postings that state a minimum ask for 6 years at the median (9,269 postings).
Education
4,205 of the 10,712 open Program Manager jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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