Gabriel Maggiotti

Critic
DISC Type : C

Director, Machine Learning Engineering at ASAPP

New York, New York, United States

Overview

Gabriel Maggiotti is the Director of Machine Learning Engineering at ASAPP, focusing on AI-Native products. Described by colleagues as an outstanding and top technical leader, he applies his expertise in AI, ML, and deep learning, supplemented by studies at Stanford and MIT, to guide his teams in solving complex problems.


He has co-authored research on using deep learning and EEG signals to automate the diagnosis of brain disorders.

Personality Overview

ROI Driven

Objective Thinker

Information Seeker

They prefer to do logical analysis and value evidence over emotions.  They enjoy working alone and do not rely on others very often. Unless the value is proven by data, they are unlikely to value fancy features.

Topics They Care About

Generative AI Agents
Expressed excitement about launching a state-of-the-art Generative Agent, signaling a focus on the next wave of machine intelligence and automation.
Building ML Teams
Actively and frequently posts about hiring for his Machine Learning Engineering team, indicating a priority on talent acquisition and team growth.
Applied NLP
His recruitment efforts specifically mention solving cutting-edge natural language processing (NLP) challenges to build meaningful AI products.

Media Appearances

Gabriel has no verified media appearances

Work History

11-2021
Director, Machine Learning Engineering at ASAPP
1-2020
Senior Machine Learning Engineering Manager at ASAPP
11-2018 - 1-2020
Senior Software Engineering Manager at Jampp
10-2016 - 10-2018
Head of Digital Software Development at Artear
9-2012 - 10-2016
Product Development Manager at MercadoLibre.com (NASDAQ: MELI)

Education

3-2024 - 9-2024
MIT 8.04 Quantum Physics I from Massachusetts Institute of Technology
2018 - 2018
CS230 from Stanford University School of Engineering

More Information

Social Presence :

Prographics :

Exp : 16 Location : New York, New York, United States Job Level : Mid-senior Designation : Director, Machine Learning Engineering at ASAPP
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Insights For Selling To Gabriel

During A Call Or A Meeting

DO's

  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Be ready for penetrating questions and critical examination of your pitch
  • Keep some extra margin while sharing pricing, they are likely to negotiate later

DONT's

  • Make extra effort to not seem pushy or confrontational
  • Don’t rush them till they have clearly gotten all the necessary information
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Gabriel is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Gabriel

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Gabriel move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Gabriel take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Gabriel

Personality Compatibility


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