Join the Alexa Shopping Operations team and play a crucial role in shaping the future of online shopping. We are dedicated to providing reliable dataset generation and annotations to enhance customer experiences across all shopping features, devices, and regions. Our focus is on improving Artificial Intelligence (AI) and Large Language Models (LLMs) through high-quality data, enabling Amazon to deliver an exceptional shopping journey globally. We are building an end-to-end data solution powered by cutting-edge technology and operational excellence.

As a Process Lead, you will be responsible for the complete annotation task lifecycle. This includes managing stakeholder relationships, overseeing process transitions, developing key metrics, prioritizing workload, and acting as the subject matter expert. You will also be tasked with understanding annotation requirements, creating and updating Standard Operating Procedures (SOPs), training junior associates, and identifying opportunities for process enhancement to drive quality and efficiency. You will serve as the primary point of contact for Alexa Shopping feature teams worldwide, requiring comfort and confidence in liaising with remote teams.

We are looking for individuals who can manage process escalations and drive data-oriented analysis to achieve operational and business goals. Effective stakeholder communication, identifying and resolving process gaps, and acting as a subject matter expert are key. You should be adept at driving business and operational metrics through quantitative decision-making and leveraging various tools. The ability to meet deadlines in a fast-paced environment, perform deep dives into processes, and propose solutions through automation is essential. Collaboration with other teams and subject matter experts to support new process launches is also required. Experience collaborating with cross-functional teams, fluency in English, and experience in fast-paced operational environments are fundamental. Experience in creating process improvements through automation and analysis, or troubleshooting complex challenges, is necessary. Proficiency in analyzing and interpreting SOPs, leading improvement initiatives, and driving cross-functional optimization efforts are also critical.