Joy Zeng

Observer
DISC Type : ci

Applied Scientist at Amazon

San Francisco Bay Area, United States

Overview

Joy is an Applied Scientist at Amazon with expertise in large language models and their application in e-commerce, contributing to projects like Amazon Rufus. A graduate of Georgia Institute of Technology, her experience spans NLP and deep learning, with a focus on creating innovative, real-world applications.

At a previous role with Nextdoor, she led the development of a generative AI framework that was deployed to ~80 million users, lifting weekly active users by 0. 4% and ad revenue by 1%.

Personality Overview

Assertive

Example Seeker

Value Driven

They can sound friendly and charming but can quickly change gears to become inquisitive and probing.  They are generally strong communicators and are not easy to convince. They often ask many questions and rely heavily on information and documentation.

Topics They Care About

LLMs in E-commerce
Her work at Amazon on conversational shopping LLMs (Rufus) and her SIGIR 2025 paper on LLM adaptation in e-commerce show a clear focus in this area.
Efficient AI Models
Co-authored papers on efficient chain-of-thought reasoning and scalable LLM adaptation, indicating a professional interest in model optimization and performance.
AI for Engagement
At Nextdoor, she developed an LLM framework that successfully increased user engagement metrics and ad revenue, demonstrating expertise in applying AI to drive business goals.

Media Appearances

Joy has no verified media appearances

Work History

6-2024
Applied Scientist at Amazon
5-2023 - 6-2024
Machine Learning Engineer, Generative AI at Nextdoor
12-2022 - 12-2023
Research Assistant at Georgia Institute of Technology
5-2022 - 8-2022
Engineering Intern (Twitter Cortex) at Twitter
10-2021 - 5-2022
Statistician/Research Scientist at Stanford University

Education

Master of Science - MS from Georgia Institute of Technology
Bachelor of Arts - BA from Rutgers University–New Brunswick

More Information

Social Presence :

Prographics :

Exp : 3 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Applied Scientist at Amazon
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Insights For Selling To Joy

During A Call Or A Meeting

DO's

  • Share testimonials from known people and give multiple examples of product value
  • Help them realize that there is no personal risk in making this decision
  • Focus on immediate action-items rather than the larger goals

DONT's

  • Don’t brush off any concerns, take all questions seriously
  • Avoid making offhand commitments
  • Don’t rely excessively on your relationship with them to win the deal

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Joy is

  • Clear proof of product value matters to them, followed by others' testimonials and rapport.
  • Will you ever get a clear answer from Joy

  • They are practical yet friendly, don’t expect a clear no very often.

Insights For Deal Planning

    How fast (or slow) will Joy move?

  • They like to analyze well and can take their time to reach any decisions.
  • Can Joy take some risk or not?

  • They systematically evaluate all decisions and are unlikely to take many risks.

You And Joy

Personality Compatibility


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