Vim Employee Directory

Q: Who are Vim's key employees and leadership??

Vim's key employees include: founder cto: asaf david , director talent: sara lager , director network operations: peter iansek , founder cto: asaf david . Looking for contact data? Unlock accurate emails and phone numbers for your ideal prospects with Tomba.

Q: What does Vim do?

Explore Vim's company overview page . for more information.

Q: What is the companies similar for Vim?

The companies similar for Vim, including rucksters.com , promotion union , Creme De La Creme Bakery Ontario , Boardwalk Studio , Sebastian Technologies Inc , Star Financial Organizers , Piers, Barry , Gladiators LLC , Magic Makers .

IL - San Francisco

Email Format Company overview

About Vim

Vim is a technology company building digital infrastructure for healthcare.

Vim Highlights:

Location	Employees
United States 🇺🇸	7
Israel 🇮🇱	4

Vim Leadership:

Employee	Department	Total Email Source
Asaf David founder cto	Executive	3	Email
Sara Lager director talent	Executive	1	Email
Peter Iansek director network operations	Executive	0	Email
Asaf David founder cto	Executive	0	Email

Contact profiles Vim:

Employee	Department	Total Email Source
John Smith		1	Email
John Smith		1	Email
Mike Leonard Chief Revenue Officer		3	Email
Sara Lager		1	Email
Sara Lager		1	Email
Ari Klein		1	Email
Oron Afek transforming healthcare delivery		1	Email
Daniel Yagoda qa tester	Warehouse	0	Email
Chen Rozenes software developer	Software	0	Email
Leisure vp operations	Operations	0	Email
James		0	Email
William Simmons senior director product		0	Email
Moti		0	Email
Nandy Vaisman vp chief information security officer	Security	0	Email
Alex Takeyama network operations manager	Operations	0	Email
Nick manager for provider growth	Management	0	Email
Shihan		0	Email
Hillary Schauf ea office manager	Management	0	Email

Vim Email Metrics

Vim has 35 email addresses.

Vim has 29 personal email addresses, .

Vim has 6 generic email addresses.

Email Finder

The Email Finder can find an email address with a good level of certainty. It either returns one we have in our base, or predicts one by analyzing the domain data.