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Patrick Koehl - Email & Phone Number

Manager Open Source Engineering Team at Averity

Patrick Koehl is based out of New York City Metropolitan Area and works at Averity as Manager Open Source Engineering Team.

Patrick Koehl's Contact Information

Patrick Koehl's Work email
p*****@averit***.com
Valid
Latest update
October 13, 2025
Location
New York City Metropolitan Area

Patrick'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 Patrick Koehl

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