Description
Global Logistics (GL) is seeking a Senior Supply Chain Manager to own Length of Haul (LOH) optimization and inbound Cost Per Unit (CPU) reduction for Amazon's Domestic First Mile network. This role is the single-threaded owner of one of DFM's most critical KPIs - the distance inventory travels from vendor or seller origin to the first Amazon node - directly influencing billions in annual transportation spend.
You will combine strategic thinking with tactical execution: learning how Amazon's network is designed, how buying and placement systems make decisions, and what influences inbound routing - then finding clever opportunities to move inventory from vendor to customer in as straight a line as possible. You will partner with product managers and technology teams to define requirements and build the solutions needed to structurally reduce LOH. You will use data, analytics, and AI to uncover insights, automate reporting, and drive decision-making.
This is not a role where you wait for direction. You will think like a business owner, deeply understand the cost structure, and drive initiatives from concept through execution. The ideal candidate is intellectually curious, analytically rigorous, comfortable with ambiguity, and energized by the challenge of influencing complex systems they don't directly control.
Key job responsibilities
Own the Length of Haul optimization strategy end-to-end - from setting annual targets and building multi-year roadmaps to root-cause analysis, weekly reporting, and initiative execution - delivering measurable reductions in inbound transportation cost across Amazon's domestic network
Develop deep expertise in how Amazon's inbound network is designed and how inventory placement systems make routing decisions; identify and execute structural opportunities to reduce distance through placement optimization, origin intelligence, and network topology influence
Partner with product management, technology, finance, and operations teams to define requirements, write business cases, and deliver system-level solutions that permanently lower cost per unit at scale
Lead strategic planning and executive communication - including investment proposals, performance narratives, and quarterly reviews - to influence senior leadership decisions and secure resources for high-impact initiatives
Leverage data analytics, AI, and automation to build scalable insights, dashboards, and attribution models; lead vendor-facing initiatives including origin optimization coaching and multi-origin shipment strategies
A day in the life
You'll start your week analyzing inbound transportation performance, identifying root causes behind cost movement - mix shifts, network changes, or routing decisions. Mid-week, you might trace why shipments are traveling farther than planned, write the business case for the fix, and present it to partner teams. You'll influence how inventory placement models factor vendor proximity, coach sellers on optimal shipment origins, and use AI tools to automate insights that previously took days to produce. You think like a business owner: every mile reduced is dollars saved.
About the team
The Domestic First Mile Cost team within Global Logistics plans and reduces Amazon's inbound transportation cost per unit - the cost of moving inventory from vendors and sellers into our fulfillment network. We operate at the intersection of supply chain strategy, data science, and product development. We don't just report metrics - we build business cases, influence systems, and drive initiatives that structurally reduce cost across billions in annual spend. This is a small, high-impact team where every person owns meaningful outcomes with direct visibility to senior leadership.
Basic Qualifications
5+ years of program or project management experience
Experience owning program strategy, end to end delivery, and communicating results to senior leadership
Experience delivering results for large, cross-functional initiatives/projects
Experience in data analysis and reporting
Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc.
Preferred Qualifications
Master's degree or MBA in supply chain, business, engineering, finance, or related quantitative field
Experience in transportation optimization or supply chain within a high-volume logistics, manufacturing, or e-commerce environment
Track record of influencing technical product roadmaps and driving system-level changes in complex, matrixed organizations
Experience with AI/ML technologies for automation, insight generation, or predictive modeling
2+ years of driving process improvements and building scalable analytical frameworks
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Santa Monica - 115,400.00 - 160,000.00 USD annually
USA, TX, Austin - 115,400.00 - 160,000.00 USD annually
USA, WA, Bellevue - 115,400.00 - 160,000.00 USD annually
