Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight. Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight customers access to the world-class network and freight services currently used to facilitate Amazon's own freight movements. Our freight offerings ensure that our customers' freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. The P&L Management team owns the financial planning models and mechanisms that support Amazon Freight's growth across revenue, cost, and margin. We are building our cost planning capability from early-stage into a scalable, integrated function. This role will partner with Network stakeholders to develop cost models, integrate them into our existing planning frameworks, and design repeatable processes where few exist today. This is a builder role — you will take a nascent function and bring it to maturity. The ideal candidate is analytical and structured, with strong P&L fluency, SQL skills, and the ability to connect cost drivers to business outcomes. You should be comfortable being the first person to own a function, working across organizational boundaries, and introducing new processes to teams that haven't had them before. Key job responsibilities Design and build cost planning models that integrate into existing revenue and demand planning frameworks, creating a connected P&L view across modes. Partner with Network Operations, Finance, and Pricing stakeholders to source cost inputs, validate assumptions, and align on planning methodologies. Build SQL-based analytical models to decompose and forecast costs by mode, lane, and operational driver. Develop scalable, repeatable processes to replace ad-hoc cost analyses — taking the function from early-stage to mature. Identify and quantify margin improvement opportunities through data analysis and cross-functional collaboration. Manage multiple workstreams simultaneously, navigating ambiguity and delivering results with incomplete information while communicating progress to leadership. Assist with ad-hoc cost and margin analyses as business needs evolve.