Grace Huang

Critic
DISC Type : C

Director, AI Applications at Netflix

Mountain View, California, United States

Overview

Grace Huang is the Director of AI Applications at Netflix, leading machine learning research and engineering for personalization and search. A graduate of Cornell University with a PhD from Carnegie Mellon/University of Pittsburgh, she has a deep background in recommendation algorithms, previously holding senior data science roles at Pinterest and PopSugar.

Her early career was in computational genomics, focusing on algorithm development for genome sequencing and cancer diagnostics before transitioning into the tech industry.

Personality Overview

Precise

Negotiator

Objective Thinker

They like to do things independently and don’t look for support from others.  They are quite likely to negotiate on pricing or other key terms. They don’t appreciate bells and whistles unless backed by data.

Topics They Care About

AI Personalization
Leads teams developing personalization algorithms for search, notifications, and messaging for Netflix's 220M+ members, focusing on bandits, causal inference, and LLMs.
ML Research
Actively involved in the machine learning community, frequently organizing the Netflix PRS workshop and attending conferences like RecSys and KDD to connect with researchers.
Hiring AI Talent
Frequently posts about hiring for leadership and individual contributor roles on her teams at Netflix, indicating a focus on building out her department.

Media Appearances

Grace has no verified media appearances

Work History

9-2025
Director, AI Applications at Netflix
2-2020
Senior Manager, Research/Machine Learning Engineering at Netflix
1-2017 - 1-2020
Head of Data Science, Content and Discovery at Pinterest
4-2015 - 1-2017
Senior Data Scientist at Pinterest
9-2013 - 4-2015
Data Scientist at PopSugar

Education

PhD from Carnegie Mellon University/ University of Pittsburgh
B.S. from Cornell University

More Information

Social Presence :

Prographics :

Exp : 12 Location : Mountain View, California, United States Job Level : Mid-senior Designation : Director, AI Applications at Netflix
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Insights For Selling To Grace

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Be formal and objective, they will appreciate it more
  • Keep some extra margin while sharing pricing, they are likely to negotiate later

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Do not use very emotional or colorful language
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Grace is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Grace

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Grace move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Grace take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Grace

Personality Compatibility


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