Kennelwood Pet Resorts Employee Directory

US - Saint Louis - Missouri

About Kennelwood Pet Resorts

kennelwood pet resorts opened its first location in 1974. since the beginning, kennelwood has been a leader in the pet care industry being the first to introduce pet services like sh... Read more

Kennelwood Pet Resorts Highlights:

Location	Employees
United States 🇺🇸	24

Kennelwood Pet Resorts Leadership:

Employee	Department	Total Email Source
Fiju Job Chief Development Officer	Executive	0	Email
Kevin Brockman Chief Financial Officer	Executive	0	Email

Contact profiles Kennelwood Pet Resorts:

Employee	Department	Total Email Source
Rob Myers owner		4	Email
Amy Hawkins assistant general manager		2	Email
Josiah Robertson		1	Email
Barbara Haynes vice president		1	Email
Hanna Markezich assistant manager		1	Email
Sarah Rouse Marketing Manager	Marketing	0	Email
Meghan Dyonzak Marketing Manager	Marketing	0	Email
Alan Jones President/CEO		0	Email
Holly Rose pet training department head		0	Email
Renee Shannon Human Resources Manager	HR	0	Email
Sarah Weir Customer Service Representative	Management	0	Email
Sue Schulze dog trainer/behavior counselor		0	Email
Nick Thorburg Daycamp lead		0	Email
Donald Danforth chairman the board	Warehouse	0	Email
Joe Robertson cfo		0	Email
Ronda Testerman		0	Email
Taylor Heuermann Boarding Attendant		0	Email
Brenda Niehaus dog groomer		0	Email
Chris Danforth chairman of the board - owner	Warehouse	0	Email
Lisa Wenom Stylist		0	Email
Alan Jones owner		0	Email
Ellen Parisi hr manager	HR	0	Email
Katelynn Petran Groomer		0	Email
Joe Zuccarello vice president of business development		0	Email
Amber Burkett Groom tech		0	Email
Alan Jones president		0	Email
Renee Cordes director marketing	Marketing	0	Email
Donna Kary revenue auditor	Warehouse	0	Email

Kennelwood Pet Resorts Email Metrics

Kennelwood Pet Resorts has 65 email addresses.

Kennelwood Pet Resorts has 62 personal email addresses, .

Kennelwood Pet Resorts has 3 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.