> Markdown version of [/jobs/ext/1305719-principal-technical-infra-program-manager-inventory-optimization-s-op-planning](https://www.wearedevelopers.com/jobs/ext/1305719-principal-technical-infra-program-manager-inventory-optimization-s-op-planning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Infra Program Manager, Inventory Optimization, S&OP Planning - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $176,900.0 - $239,400.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Cloud Computing, Computer Networks, Data Centers, R (Programming Language), Python (Programming Language), SQL Databases, Cloud Platform System, Expertise in Kinaxis, Optimization Algorithms, Data Analytics, AWS Data Analytics, Machine Learning Operations - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9af722827a770cf8 ## About the Role * Bachelor's degree in Supply Chain Management, Operations Research, Industrial Engineering, Statistics, or related quantitative field * 10+ years of progressive experience in supply chain management, inventory optimization, or operations research * 5+ years of experience designing and implementing advanced inventory optimization models (i.e., multi-echelon, safety stock, service-level optimization) * Demonstrated expertise in statistical modeling, optimization algorithms, and data analytics * Proven ability to influence senior leadership and drive strategic decision-making through data-driven insights, * Master's degree or PhD in Supply Chain Management, Operations Research, Industrial Engineering, Statistics, or related field * Experience in technology, cloud infrastructure, or high-growth environments with complex, multi-echelon supply chains * Deep expertise in probabilistic forecasting, lead-time variability modeling, and service-level optimization * Experience with inventory optimization tools and platforms (e.g., o9 Solutions, Kinaxis, Blue Yonder, or similar) * Proficiency in Python, R, SQL, or other analytical programming languages * Track record of delivering significant working capital improvements (e.g., greater than 20 percent inventory reduction) while maintaining or improving service levels * Experience with AWS infrastructure, data center operations, or hardware supply chains ## Description AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS Infrastructure Services (AIS) is seeking a Principal, Inventory Optimization to establish and lead the strategic vision for inventory management across AWS's global infrastructure footprint spanning 105 availability zones, 33 geographical regions, and serving over 245 countries and territories. This role will drive transformational improvements in working capital efficiency, service levels, and supply chain agility by designing and implementing advanced inventory optimization frameworks that balance cost, capacity delivery, and customer availability. As the Principal of Inventory Optimization, you will set the end-to-end inventory strategy, defining policies, service-level targets, inventory segmentation rules, and lifecycle management frameworks, ensuring that tactical day-to-day decisions across procurement, material planning, and capacity delivery align with AWS's business objectives. You will bridge S&OP, supply chain planning, finance, demand forecasting, product, and engineering teams to translate complex trade-offs between working capital and fill rates into executable, scalable programs. This role requires deep expertise in advanced analytics and optimization modeling. You will design, validate, and operationalize sophisticated models including multi-echelon inventory optimization, probabilistic safety stock calculations, lead-time variability analysis, and service-cost trade-off frameworks. You will ensure that demand forecasts, supply constraints, and exception signals feed correctly into optimization engines, enabling data-driven inventory decisions at scale. You will identify opportunities to reduce excess and obsolescence, lower carrying costs, and free working capital while protecting revenue through targeted, analytically-driven service-level adjustments. You will select and configure optimization tools, own KPI and metric frameworks, and operationalize processes that scale with AWS's rapid growth and unique supply characteristics-including GenAI/ML infrastructure, traditional compute, storage, and networking components. The Principal will drive continuous improvement through experimentation, ROI tracking, exception management, and governance frameworks that embed guardrails ensuring inventory decisions remain optimal as demand patterns, lead times, and product mix evolve. This role is inherently cross-functional and requires the ability to think big, influence without authority, and collaborate effectively with stakeholders across AWS Infrastructure and AWS Service teams. You are an experienced leader who has demonstrated success leading large-scale, cross-functional supply chain transformation initiatives. An ability to take complex, technically challenging problems and break them down into manageable pieces, develop actionable plans, and successfully deliver measurable business impact is essential. Communication with executive audiences is a regular occurrence. High judgment, negotiation skills, analytical talent, technical aptitude, and the ability to collaborate with a diverse set of stakeholders across multiple time zones are critical for success in this role. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Reliable scalability: How Amazon.com scales on AWS](https://www.wearedevelopers.com/videos/983-reliable-scalability-how-amazon-com-scales-on-aws) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)