Amazon's Personalization organization is seeking an Applied Science Manager to lead a team focused on revolutionizing e-commerce experiences. This role combines big data, machine learning, and customer-centric innovation to shape the future of personalized shopping. You'll be working with Amazon's extensive computational resources and e-Commerce expertise to build next-generation shopping experiences that impact hundreds of millions of customers worldwide.
The position involves leading a team responsible for developing personalization solutions for health & personal care, groceries, and other growing product categories. You'll oversee the entire software lifecycle, from design to implementation, while leveraging machine learning approaches to create delightful customer experiences. The role demands technical excellence, strategic thinking, and strong leadership skills.
As an Applied Science Manager, you'll be part of a high-performing organization known for its culture of rapid prototyping, rigorous experimentation, and data-driven decision-making. The team has a proven track record of revolutionary features like "Customers Who Bought Also Bought" and "Recommended for You". You'll work in an environment that values customer obsession, technical innovation, and team member growth.
The ideal candidate combines technical expertise with leadership abilities, bringing experience in machine learning, distributed systems, and large-scale production environments. You'll have the opportunity to shape the future of e-commerce while working with cutting-edge technology and leading a team of talented engineers and scientists. The role offers high visibility, meaningful impact, and the chance to solve complex technical challenges at unprecedented scale.