Join the Alexa Shopping Operations team and play a crucial role in shaping the future of online shopping. We are dedicated to generating high-quality datasets and annotations to enhance customer experiences across Amazon's shopping features, devices, and locales. Our mission is to empower Amazon's Large Language Models (LLMs) through advanced techniques like Reinforcement Learning from Human Feedback (RLHF) to deliver a superior shopping journey for customers worldwide.

This position offers an exciting opportunity to contribute to cutting-edge AI development by providing end-to-end data solutions and operational excellence. You will be instrumental in advancing Amazon's capabilities in understanding and responding to customer needs in the dynamic world of e-commerce.

As a Process Lead, you will be responsible for end-to-end annotation tasks within our Alexa Shopping operations. This includes managing stakeholder interactions, overseeing process transitions, developing key metrics, and prioritizing work effectively.

You will act as the subject matter expert, deeply understanding annotation requirements and creating/updating Standard Operating Procedures (SOPs). Your role will involve training L2 and L3 associates, identifying opportunities for process enhancement, and driving solutions to meet quality Key Result Areas (KRAs).

This role requires you to be the primary point of contact for Alexa Shopping feature teams globally, necessitating comfort and confidence in liaising with remote teams and managing cross-functional communication.

Key result areas include managing operational escalations, driving data-oriented analysis, adopting technology solutions, and leading process improvement projects to achieve business goals. You will also support hiring, performance management, and build consensus on complex issues.

We are looking for individuals with a proven track record in managing processes and operational escalations within fast-paced, rapidly changing environments. Experience in creating and implementing process improvement procedures and optimizing workflows through cross-functional collaboration is essential.

Successful candidates will possess the ability to drive business and operational metrics through quantitative decision-making and effectively utilize various tools and resources. You must demonstrate the capability to meet deadlines in a complex software and process-driven landscape and perform deep dives into processes to devise automation-driven improvement solutions.

Essential qualifications include experience collaborating with cross-functional teams, fluency in English (speaking, writing, reading), and experience managing critical operational processes with SLA responsibilities. Familiarity with CSV, JSON, Markdown, or Python, along with knowledge of machine learning approaches and algorithms, is preferred.