Lawrence An

Questioner
DISC Type : c

Global Director, Applied AI & Innovation @ Google Cloud at Google

United States

Overview

A global technology executive at Google Cloud with over 20 years of experience leading applied AI and cloud transformations at Google, Microsoft, and IBM. He specializes in building high-impact teams and accelerating the adoption of emerging technologies like GenAI, holding an M.S. from Princeton University.

He is passionate about a style of leadership that focuses on standing with the team, not above them, especially during times of ambiguity. He believes in amplifying quiet voices and investing in team members potential, viewing talent not as a resource but as a core strategy for success.

He finds it transformative that AI is becoming part of everyday life, even showing up at the dinner table to help families decide what to cook.

Personality Overview

Value Seeker

Systematic

Cautious & Analytical

They prefer to analyze every situation thoroughly.
  They are more likely than others to negotiate on pricing and terms. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.

Topics They Care About

Applied AI Solutions
As Global Director at Google Cloud, he leads teams building and deploying GenAI solutions on platforms like Vertex AI and Gemini to solve real-world challenges.
Empathetic Leadership
Believes true leadership is a 'posture,' not a title, defined by standing with one's team and amplifying the quietest voices in the room.
Strategic Talent Investment
Views talent as a core business strategy, emphasizing that exceptional organizations don't just hire for roles—they invest in potential.

Media Appearances

Lawrence has no verified media appearances

Work History

2022
Global Director, Applied AI & Innovation @ Google Cloud at Google
2016 - 2022
Head of AI, Data & Security Customer Engineering at Google
2011 - 2016
Big Data Engineering Manager and Solution Architect, Data and Analytics, Lighthouse at Microsoft

Education

M.S from Princeton University

More Information

Social Presence :

Prographics :

Exp : 15 Location : United States Job Level : Mid-senior Designation : Global Director, Applied AI & Innovation @ Google Cloud at Google
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Insights For Selling To Lawrence

During A Call Or A Meeting

DO's

  • Emphasize on objective proof of ROI, help them do a thorough evaluation
  • Tell them that you will come back if you don’t have a good answer for a question
  • Keep some extra margin in hand as they will likely negotiate the pricing

DONT's

  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Avoid rushing them, be polite and patient
  • Don’t overhype the product/pitch, keep it measured

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Lawrence is

  • Confidence that the product provides ROI, effective pricing and process adherence matter the most to them.

  • Will you ever get a clear answer from Lawrence

  • It doesn’t come naturally to them but they can say no if they are not convinced.

Insights For Deal Planning

    How fast (or slow) will Lawrence move?

  • They can move at a reasonable pace while making their decisions if they have the necessary information.

  • Can Lawrence take some risk or not?

  • They can take risk if they are convinced that they have analyzed the circumstances well.


You And Lawrence

Personality Compatibility


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