Valentims Employee Directory

About Valentims

Valentims Highlights:

Location	Employees
United States 🇺🇸	35

Valentims Leadership:

Employee	Department	Total Email Source
Craig Gober Director of Facilities	Executive	0	Email
Pachy Torresola director it	Executive	0	Email

Contact profiles Valentims:

Employee	Department	Total Email Source
Peter Grant exec vp operations		1	Email
Timothy Ethridge Bartender		0	Email
Jedd Lancaster Cash Manager		0	Email
Toya Santiago crew		0	Email
Mike Wilkes Regional Director	PR	0	Email
Steve Nesbitt exec vp		0	Email
Marvin Charles District Manager	Warehouse	0	Email
Leigh Lopez Sales & cash auditor	Sales	0	Email
Leighann Lopez Sales/Cash Auditor		0	Email
Suzie Temple director marketing	Marketing	0	Email
Wade Meister training:		0	Email
Dana Carmona Assistant Controller	Support	0	Email
Tim Wyatt		0	Email
Chris Gilliland Senior Operations manager		0	Email
Karleta Chester Licensing Specialist & A/P Manager		0	Email
Jerri Grisham		0	Email
Alex Bates		0	Email
Kim Mcnally Assistant Manager	Support	0	Email
Sue Wanish operations:	Engineering	0	Email
Shandi Lancaster office manager personal assistant to c.e.o.	Security	0	Email
John Carlasare equipment purchasing:		0	Email
Crystal Herrmann Payroll Manager		0	Email
Erich Kilbarger General Manager		0	Email
Katrina Christie Area Coach	Operations	0	Email
Troy Valenti ceo:		0	Email
Sharon Ritch controller		0	Email
Brian Lee Facilities Director	Facilities	0	Email
Valerie Ventre Marketing /Training Manager	Marketing	0	Email
Karen Ioco senior manager information technology		0	Email
Kimberly Norrise hr manager	HR	0	Email
Lois Williams General Manager		0	Email
Susie Temple marketing:	Marketing	0	Email
Melanie Drisdale hr:		0	Email
Dan Wanish Dist. Manager		0	Email
Lee Lewis Bartender		0	Email
Mistie Rivera Accounting Specialist	Accounting	0	Email

Valentims Email Metrics

Valentims has 39 email addresses.

Valentims has 37 personal email addresses, .

Valentims has 2 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.