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Chad Goldstein - Email & Phone Number

Lead DevOps Talent Advocate at Averity

Chad Goldstein is based out of New York, New York, United States and works at Averity as Lead DevOps Talent Advocate .

Chad Goldstein's Contact Information

Chad Goldstein's Work email
c*****@averit***.com
Valid
Latest update
October 17, 2025
Location
New York, New York, United States

Chad's current employer

Averity logo

Averity

Description
HQ Location
New York, NY, United States
Number of employees
11-50
Industry
Staffing And Recruiting
Latest update
May 1, 2024

Frequent questions about Chad Goldstein

What company is Chad Goldstein working for?
Chad Goldstein works for Averity.
What is Chad Goldstein's function at Averity?
Chad Goldstein is Lead DevOps Talent Advocate at Averity.
Where is Chad Goldstein based?
Chad Goldstein is based out of New York, New York, United States.
What is Chad Goldstein's work email address?
Chad Goldstein's professional email address is c*****@averit***.com
Who are Chad Goldstein's co-workers?
Chad Goldstein's colleagues are Chris Allaire, Matt Stabile, John Birchall, Daniel Wellner, Veronica Colvin, Patrick Koehl, Christopher Decrescenzo, Peter Klochaney, Mark Howland, Shane McGonnell, Stephanie Grosso.
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Chad's co-workers

Chris Allaire avatar
Chris Allaire
CEO and Founder
Matt Stabile avatar
Matt Stabile
Co-Founder, COO, Executive Data Science and Analytics Recruiter at Averity
John Birchall avatar
John Birchall
Director, Data Science & Data Engineering
Daniel Wellner avatar
Daniel Wellner
Director of DevOps and Security
Veronica Colvin avatar
Veronica Colvin
Technical Recruitment Consultant
Patrick Koehl avatar
Patrick Koehl
Manager Open Source Engineering Team
Christopher Decrescenzo avatar
Christopher Decrescenzo
Manager- Data Science & Analytics
Peter Klochaney avatar
Peter Klochaney
Principal Talent Advocate
Mark Howland avatar
Mark Howland
Technical Recruiter
Shane McGonnell avatar
Shane McGonnell
Senior Talent Acquisition Specialist
Stephanie Grosso avatar
Stephanie Grosso
Senior Talent Advocate (Data Engineering & Machine Learning)
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