Principal Product Manager, Fleet Demand, EU Fleet Supply Chain

DESCRIPTION:

At Amazon, we're working to be the most Customer-centric company on earth. One customer experience that we're constantly looking to take to a new level is how we fulfill and deliver their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders, no matter how large or small are delivered where and when they need them, as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new products and services in the last mile delivery space. Come join the team and help us make history!
The Team
The EU Amazon Logistics (AMZL) Fleet Planning & Analytics team operates within Global Fleet & Products. We're responsible for EU AMZL fleet requirement definition to source Armada/Rentals, short-term deployment scheduling, and business intelligence support-with the north star to scale fleet capacity efficiently.
The Fleet Demand planners within FPA team, are comparable to other companies' "Demand Planner" profiles, but facing the peculiar challenges to integrate upstream planning cycles, e.g. from SCOT/Top Line to LTP/TL disaggregation, from MRP to DA Labour Plan (LPT) and DSP diversification planning, to create demand plans for diesel (ICE), Electric Vehicles (EV), Long/Short Wheel Base (LWB/SWB) vans requirements across Europe for long (+3y) and medium term (<12m) planning, and driving the resulting order plans and work with Finance, OEM business development, Rental procurement to ensure plans are executed effectively and efficiently.
The Role
We're seeking a talented Principal Product Manager to enable the success of the EU Global Fleet Program within Amazon Logistics' high-growth, fast-paced environment.
The role will be responsible for defining the fleet requirements of new business customers to EU GFP (SWA, DSP Lite, and others as of OP2 2024) for EU AMZL and for driving the related vehicle procurement and supply chain downstream decisions (OEM, upfitting, scheduling, transportation), impacting hundreds of $ millions in CAPEX/OPEX; by doing it, they will be ultimately responsible for building the right capacity to deliver peak demand whilst ensuring target fleet utilization is achieved and cost optimized.
The successful candidate will determine demand for EU AMZL fleet by leveraging statistical modelling, machine learning pipelines, deterministic python based algorithms and the integration with key partner organizations (Finance, Network Planning, DSP Planning, Product Development, Electrification, Modes Of Transport, Sustainability, Legal). She/he will be required to monitor and identify important changes in upstream forecasts assumptions and business strategies, with a view to streamline the overall planning and decision cycle and to achieve the optimal trade-off between cost and Service Partners experience.
The Mission
Transform the Future of Amazon's EU Logistics Fleet, by building the right capacity to deliver peak demand while ensuring target fleet utilization is achieved and cost optimized.
Shape Multi-Million Dollar Strategic Decisions You'll be at the helm of fleet investment decisions impacting significant CAPEX and OPEX across Amazon's EU logistics network. Your recommendations will directly influence VP-level stakeholders on fleet procurement strategies worth hundreds of millions of dollars, with proven impact-recent initiatives have generated operational savings and lead to highest cost capital asset utilization (+600bps YoY in 2025 peak).
Drive Cutting-Edge Innovation at Scale Lead the evolution from traditional deterministic planning to advanced stochastic optimization models powered by machine learning and AI. You'll orchestrate complex technical initiatives spanning data engineering, research science, and product development-transforming how Amazon plans, deploys, and optimizes thousands of vehicles across Europe.
Orchestrate Cross-Organizational Transformation This isn't a siloed product role-you'll influence across multiple organizations, partnering with Science teams on probabilistic modeling, Data Engineering on scalable infrastructure, and Tech teams on next-generation planning systems. You'll shape research direction, drive OP1/2 intake processes, and manage dependencies across Last Mile Tech, EU AMZL Science, and Global Fleet Programs.
Lead the Electrification Transition to BAU Be instrumental in Amazon's transition to sustainable transportation. You'll integrate electrification strategies and new mobility types into fleet requirement planning, positioning Amazon at the forefront of green logistics while maintaining operational excellence.
Build World-Class Products from Ground Up Take ownership of FORCE (Fleet Optimization and Requirement Capacity Engine) and next-generation Fleet Requirement Planning systems. You'll move beyond MVP to create industry-leading products that balance peak demand delivery with optimal fleet utilization-solving complex optimization problems that few companies tackle at this scale.
What You'll Do
Strategic Product Leadership
•Design and develop scalable fleet planning models leveraging statistical modeling, machine learning pipelines, deterministic, stochastic and linear optimization programming algorithms
•Drive product design, development, and testing in partnership with tech teams across data, science, and engineering pillars
•Define and own Fleet Demand forecasting accuracy metrics that drive operational excellence
Executive Stakeholder Management
•Secure timely buy-in from VP and senior stakeholders on significant Fleet CAPEX investments and OPEX decisions
•Consolidate input from diverse stakeholders ensuring fleet plans consume the latest business assumptions
•Navigate complex trade-offs between business needs, technical constraints, and long-term strategic goals
Cross-Functional Innovation
•Orchestrate integration of NextGenFRP with Fleet Allocation systems and downstream processes
•Collaborate with Science teams on advanced modeling: stochastic optimization, LMR clustering, cross-country transfer algorithms
•Partner with Data Engineering to create scalable infrastructure supporting EU and future ROW expansion
Transformational Initiatives
•Drive the transition to electrification and integration of new mobility types into Fleet Requirement Planning
•Extend processes to new business customer organizations and countries launching in coming years
•Shape organizational change management as new tooling transforms processes and skill requirements
Future-State Planning
•Balance short-term operational needs with long-term strategic product vision
•Plan for scaling optimization beyond Last Mile to Middle Mile operations
•Influence research direction to solve long-term business problems while delivering near-term results.
What Makes You Successful
Strategic Technical Acumen
•Experience blending product and program management to execute strategic initiatives around process creation, standardization, and improvement
•Proven ability to own roadmap strategy, end-to-end product delivery, and feature tradeoffs
•Track record managing product cycles of 6+ months with complex multi-team dependencies
Cross-Organizational Influence
•Demonstrated ability to drive resource planning and secure external funding through senior stakeholder engagement
•Experience navigating ambiguity and shaping long-term direction while delivering immediate results
•Skilled at managing competing priorities and making high-stakes technical decisions
Preferred Expertise
•Experience owning technology products in complex operational environments
•Familiarity with Research Science modeling, Machine Learning, predictive and generative AI
•Background in optimization, forecasting, or supply chain planning
The Impact You'll Create
This role sits at the intersection of strategy, technology, and operations. You'll not only build products-you'll transform how Amazon plans and deploys its fleet across Europe, directly impacting delivery experience for millions of customers while driving operational efficiency and sustainability at unprecedented scale.
Join us in building the future of logistics.


Key job responsibilities
The role will own the re-engineering of the current automated forecasting model, Fleet Requirement Planning [FRP], to: (1) integrate new Amazon organization van requirements (e.g. SWA/DSP Lite); (2) move to clustering, probability-based modelling and agentic AI; (3) scale optimization models with objective function being the operational costs; (4) evolve the UI of FRP from excel based to a more friendly dashboard; (5) integrate new supply channels and netting logics within the model (e.g. van sharing, off-season vans, vehicle multi use etc.) to drive the related sourcing accordingly; (6) integrate seamless both upstream (LTP) and downstream (approvals) processes. (7) scale Fleet Requirement Planning to Middle Mile
Last but not least, (8) supporting effectively critical business decisions (Capex/Opex, rental/lease/cross country transfer, vehicle type mix, asset utilization etc.) based on risk assessment and long term constraints visibility will be key for the success of the program. For this purpose She/he will develop a "digital twin" of the FRP models where to perform "what if analysis", multiple planning scenarios and investment analysis to define "alternative" demand and supply plans, in collaboration with Finance and other Stakeholder teams.

A day in the life
•Design and develop scalable Fleet demand modelling;
•Integrate closely with finance business partners to ensure plans are efficient and meet Peak demand, to ensure efficient ordering process
•Define and own Fleet Demand forecasting accuracy metric
•Be accountable for the timely "buy in" from VP/Senior Stakeholder about the significant Fleet CAPEX investment and OPEX decisions;
•Consolidate input from a different set of stakeholders and ensure fleet plans always consume the latest available assumptions;
•Drive the transition to electrification (EV planning Business As Usual) and integration of MoT into Fleet Requirement Planning;
•Extend FRP process to new business customer organization (SWA, DSP Lite) and countries to be launched over the next years;

BASIC QUALIFICATIONS:

- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or a MBA and experience communicating results to senior leadership

PREFERRED QUALIFICATIONS:

- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or a Associate's degree or above and experience working for Amazon or any Amazon subsidiary or affiliate

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