Peng Wang

Questioner
DISC Type : c

Director of Engineering at Dandy

New York, New York, United States

Overview

Peng Wang is an engineering leader with deep expertise in Generative AI, LLMs, and NLP. A Ph. D. graduate from Rensselaer Polytechnic Institute, he has a strong track record leading research and engineering teams at Dandy, Grammarly, and AlphaSense to build and deliver impactful, cutting-edge AI products.

Outside of his formal roles, Peng is an active member of the AI research community. He attends major conferences like NeurIPS and maintains connections with his academic roots, valuing meetings with former professors and peers. He follows emerging trends, such as developments in foundational models.

He once led the effort at Grammarly to make LLMs more personalized and contextual, building agents to help people with their writing.

Personality Overview

Price-Sensitive

Value Seeker

Not Easily Convinced

It is quite likely of them to ask for pricing or other concessions.  They prefer to fully evaluate every situation. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.

Topics They Care About

Generative AI & LLMs
His career focus involves building and leading teams to solve challenging ML problems using LLMs, Deep Learning, and NLP at companies like Grammarly and Patronus AI.
AI-Powered Search
At AlphaSense, he led large, distributed engineering teams to build a state-of-the-art AI-powered search platform for market intelligence.
AI Team Leadership
He has extensive experience building, growing, and managing research and engineering teams at multiple companies, fostering a culture of innovation.

Media Appearances

Peng has no verified media appearances

Work History

10-2025
Director of Engineering at Dandy
6-2025 - 9-2025
Head of Applied Research at Patronus AI
6-2024 - 6-2025
Director, Research at Grammarly
5-2023 - 5-2024
Senior Director, Search & AI at AlphaSense
1-2021 - 5-2023
Director of AI Research at AlphaSense

Education

Ph.D from Rensselaer Polytechnic Institute
Bachelor's degree; Master degree from University of Science and Technology of China

More Information

Social Presence :

Prographics :

Exp : 12 Location : New York, New York, United States Job Level : Mid-senior Designation : Director of Engineering at Dandy
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Insights For Selling To Peng

During A Call Or A Meeting

DO's

  • Back up any claims with data and numbers
  • If you have a lower priced product compared to the competition, call out the same
  • Tell them that you will come back if you don’t have a good answer for a question

DONT's

  • Don’t try to be too friendly or informal with them
  • Don’t depend too much on anecdotal evidence, it reduces their confidence
  • Avoid phrases like ‘do not worry about’, ‘no one compares to’ etc.

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Peng is

  • Ensuring that the product delivers ROI, cost-effective pricing and process compliance are very important for them.
  • Will you ever get a clear answer from Peng

  • 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 Peng move?

  • If they have the information that they need, they can move fast at making their decisions.
  • Can Peng take some risk or not?

  • If they believe that they have analyzed the situation well, they can take a little risk.

You And Peng

Personality Compatibility


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