Dan Burke

Critic
DISC Type : C

Head of AI Engineering at Sage

New York, New York, United States

Overview

Dan Burke is the Head of AI Engineering at Sage, focusing on the intersection of AI and elderly care. His career combines experience at tech leaders like Palantir with a strong entrepreneurial drive, having founded two Y Combinator-backed startups, Safenest and Thera. He holds a B. S. from Rice University.

Dan demonstrates a deep-seated passion for applying technology to solve significant healthcare challenges. This is evident from his work on an award-winning augmented reality application to assist Parkinsons patients and a co-authored publication on a low-cost medical diagnostic device.

Unique fact: Dan has successfully co-founded and led two separate startups through the prestigious Y Combinator accelerator program.

Personality Overview

ROI Driven

Information Seeker

Negotiator

They prefer to analyze logically and value objective facts over emotions.  They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms.

Topics They Care About

AI in Elderly Care
He is currently the Head of AI Engineering at Sage, and his stated mission is building technology at the intersection of AI and elderly care.
Health Tech Innovation
He won an award for an AR app for Parkinson's patients and co-authored a publication on a low-cost white blood cell counting device, showing a passion for health-tech.
Startup Ventures
As a two-time founder of Y Combinator-backed companies (Thera and Safenest), he has deep experience in the startup ecosystem and building companies from the ground up.

Media Appearances

Dan has no verified media appearances

Work History

12-2024
Head of AI Engineering at Sage
10-2024 - 12-2024
Founder at Safenest (acquired by Sage)
5-2024 - 10-2024
Software Engineer at Fern (YC W23)
6-2022 - 5-2024
Co-Founder & CTO at Thera (YC S22)
9-2019 - 6-2022
Backend Software Engineer at Palantir Technologies

Education

6-2022 - 9-2022
Education details unavailable from Y Combinator
2014 - 2018
Bachelor of Science (B.S.) from Rice University

More Information

Social Presence :

Prographics :

Exp : 6 Location : New York, New York, United States Job Level : Mid-senior Designation : Head of AI Engineering at Sage
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Insights For Selling To Dan

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Be formal and objective, they will appreciate it more
  • Leverage facts and figures wherever possible; use percentages, numbers etc.

DONT's

  • Don’t try to give too many examples of other users, they like to make their own decisions
  • Do not use very emotional or colorful language
  • Make extra effort to not seem pushy or confrontational

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Dan is

  • Proof of ROI, low pricing and objective proof points are the important factors for them.
  • Will you ever get a clear answer from Dan

  • They do not mind saying no if they believe that it is the right decision.

Insights For Deal Planning

    How fast (or slow) will Dan move?

  • They are neither the fastest nor the slowest decision makers, they are somewhere in the middle.
  • Can Dan take some risk or not?

  • They can bear some risk if their analysis backs the decision.

You And Dan

Personality Compatibility


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