Gabriel Levine

Observer
DISC Type : ci

Machine Learning Engineering Manager at Spotify

New York, New York, United States

Overview

Gabriel is a Machine Learning Engineering Manager at Spotify, where he leads teams focused on Audio ML and Computer Vision. A former musician, he is deeply interested in the intersection of technology and creativity. His background includes roles at Raytheon Technologies, where he worked on predictive maintenance for jet engines, and he holds a Masters degree from Hunter College.

Outside of his primary role, Gabriel is a lifelong musician with four records to his name. He is actively pursuing a Ph. D. in Computer Science with a research focus on generative music, blending his artistic passions with his technical expertise. He frequently posts about hiring great talent for his teams at Spotify.

He once gave a talk at the UN titled, "The Sound of Data: Transforming Data Streams Into Music. "

Personality Overview

Value Driven

Curious

Example Seeker

They can sound friendly and charming but can quickly change gears to become inquisitive and probing.  They ask a lot of questions and rely heavily on information and collaterals. They are generally good communicators and can be hard to convince.

Topics They Care About

Generative Music
This is the primary focus of his Ph. D. research and aligns with his talks on generating music with machine learning, showcasing a deep personal and professional interest.
Creativity & Technology
His profile explicitly states he is "obsessed with the intersection of technology and creativity, " which is the core theme of his career from musician to ML manager.
Audio ML
As the leader of Audio ML teams at Spotify, this is central to his current professional responsibilities and connects directly to his background as a musician.

Media Appearances

Gabriel has no verified media appearances

Work History

4-2021
Machine Learning Engineering Manager at Spotify
9-2017 - 4-2021
Director of Data + Machine Learning Engineering at Raytheon Technologies
6-2016 - 5-2017
Technical Co-Founder at Chat-Chat
8-2015 - 9-2017
Senior Software Engineer at Magnetic
2-2013 - 7-2015
Developer / Designer at Penguin Random House

Education

Master's degree from Hunter College
Bachelor's degree from Connecticut College

More Information

Social Presence :

Prographics :

Exp : 18 Location : New York, New York, United States Job Level : Middle Designation : Machine Learning Engineering Manager at Spotify
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Insights For Selling To Gabriel

During A Call Or A Meeting

DO's

  • Ask them questions to understand their needs better while staying affable
  • Be prepared for a lot of questions, answer them objectively
  • Help them realize that there is no personal risk in making this decision

DONT's

  • Don’t be too objective but make sure to pad your storytelling with data points
  • 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 Gabriel is

  • Proven value, strong testimonials are important for them, rapport can impact decisions a little.
  • Will you ever get a clear answer from Gabriel

  • They are practical and friendly, don't expect a clear-cut response often.

Insights For Deal Planning

    How fast (or slow) will Gabriel move?

  • They like to perform full analysis and can take time to make any decision.
  • Can Gabriel take some risk or not?

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

You And Gabriel

Personality Compatibility


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