Chris Dienes

Inquirer
DISC Type : cd

Senior Manager, ML Science - Content & Conversation Modeling at Netflix

Denver Metropolitan Area, United States

Overview

Chris Dienes is a data science leader at Netflix, managing the ML Science team for Content & Conversation Modeling. With a PhD in Statistics, he has over 12 years of experience building high-performing science teams and implementing AI/ML solutions at companies like Amazon and Atlassian. People who have worked with him describe him as having exceptional technical depth and being an excellent career mentor.

Outside of his direct management roles, Chris is passionate about science education and impact. He previously was an award-winning instructor and enjoys creating engaging ways to teach complex topics, such as using game theory to explain statistical concepts. He is a Goldwater Scholar and was a two-time valedictorian.

Unique fact: Chris holds a U. S. patent for a data storage power management system.

Personality Overview

Demanding

Hard To Convince

Judgemental

They focus on objectivity in a pitch and pay little attention to bells and whistles.  They don’t always try to control the conversation but neither do they like yielding it fully. They can be nudged to make faster decisions by offering what they value.

Topics They Care About

Generative AI Solutions
He has a track record of launching impactful Gen AI solutions for large sales and support teams of over 5, 000 members at both Amazon and Atlassian.
Building Science Teams
He specializes in building and scaling geographically dispersed, cross-functional teams of scientists, engineers, and AI architects, and is actively hiring for his team at Netflix.
ML in Entertainment
His current role focuses on using advanced AI/ML to drive Netflix's content strategy, acquisition, and scheduling decisions to entertain a global audience.

Media Appearances

Chris has no verified media appearances

Work History

8-2025
Senior Manager, ML Science - Content & Conversation Modeling at Netflix
2-2025 - 7-2025
Senior Manager, Data Science at Atlassian
4-2024 - 2-2025
Gen AI Services Lead, Sales AI (Amazon Ads) at Amazon
5-2022 - 4-2024
Head of Science & Engineering, Non-Endemic Advertising (Amazon Ads) at Amazon
4-2021 - 4-2022
Senior Data Science Manager (AWS Professional Services) at Amazon

Education

2008 - 2013
Doctor of Philosophy (Ph.D.) from University of California, Davis
2004 - 2008
Bachelor’s Degree from Montana Technological University

More Information

Social Presence :

Prographics :

Exp : 11 Location : Denver Metropolitan Area, United States Job Level : Middle Designation : Senior Manager, ML Science - Content & Conversation Modeling at Netflix
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Insights For Selling To Chris

During A Call Or A Meeting

DO's

  • Refer to testimonials from others in similar positions
  • Be crisp while making the pitch
  • Stress on the business value that your product offers

DONT's

  • Refrain from asking too many questions
  • Do not give up if they are not convinced, try again with a different approach
  • Avoid repeating yourself or making generalizations

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Chris is

  • Conviction in the product matters to them, followed by proof points and strong testimonials.
  • Will you ever get a clear answer from Chris

  • They may not be very forthcoming, but they will say no if needed.

Insights For Deal Planning

    How fast (or slow) will Chris move?

  • Their decision making speed is somewhere in the middle.
  • Can Chris take some risk or not?

  • They can take risks but after weighing up the pros and cons.

You And Chris

Personality Compatibility


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