Process Lead, Core Shopping

Core Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features devices and locales. Our primary focus lies in handling annotations for training measuring and improving Artificial Intelligence (AI) and Large Language Models (LLMs) enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle leveraging pioneering technology alongside our operational excellence. By joining us you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.

Key job responsibilities
The candidate actively seeks to understand Amazons core business values and initiatives and translates those into everyday practices.
Some of the key result areas include but not limited to:
Experience in managing process and operational escalations
Driving appropriate data oriented analysis adoption of technology solutions and process improvement projects to achieve operational and business goal
Managing stakeholder communication across multiple lines of business on operational milestones process changes and escalations
Communicate and take the lead role in identifying Gaps in process areas and work with all stakeholders to resolve the gaps
Be a SME for the process and a referral point for peers and junior team members
Has the ability to drive business/operational metrics through quantitative decision making and adoption of different tools and resources
Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes
Ability to perform deep dive in the process and come up with process improvement solutions through automation
Shall collaborate effectively with other teams and subject matter experts (SMEs) Language Engineers (LaEs) to support launches of new process and services

About the team
Core Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features devices and locales. Our primary focus lies in handling annotations for training measuring and improving Artificial Intelligence (AI) and Large Language Models (LLMs) enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle leveraging pioneering technology alongside our operational excellence. By joining us you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.

- Bachelors degree or equivalent
- Experience in process improvement/quality control tools and methods
- Experience collaborating with cross-functional teams
- Experience in English-language communication skills both written and verbal
- Experience working in a fast-paced rapidly changing operations environment
- Experience in defining and implementing process improvement initiatives using data and metrics
- Bachelors degree or equivalent
- Analyze and interpret complex Standard Operating Procedures (SOPs) to ensure organizational adherence.
- Demonstrate excellent problem-solving skills with proactive identification of process improvement opportunities.
- Drive cross-functional optimization efforts that deliver measurable operational excellence.

- Knowledge of CSV JSON Markdown or python
- Knowledge of machine learning models

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.