GIGA Employee Directory

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

GIGA's key employees include: ceo: walt miller , Executive Assistant: sue potts . Looking for contact data? Unlock accurate emails and phone numbers for your ideal prospects with Tomba.

Q: What does GIGA do?

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

US - Macon - Georgia

Email Format Company overview

About GIGA

giga inc. serves and supports the mission requirements of the u.s. military and other government agencies. we specialize in every facet of the government procurement process, from ma... Read more

GIGA Highlights:

Location	Employees
United States 🇺🇸	18

GIGA Leadership:

Employee	Department	Total Email Source
Walt Miller ceo	Executive	0	Email
Sue Potts Executive Assistant	Executive	0	Email

Contact profiles GIGA:

Employee	Department	Total Email Source
Walt Miller		1	Email
David Miller vice president of finance	Finance	1	Email
Sue Potts		1	Email
Latrenda Leaks human resources manager		1	Email
Matthew Waters		1	Email
David Johnston		1	Email
Kevin Enckler it manager	IT	1	Email
Veronica Stewart		0	Email
Sharon Jones marketing director	Marketing	0	Email
Katie Ferguson buyer		0	Email
Jennifer Oliver Procurement Manager	Warehouse	0	Email
James Ball warehouse manager	Warehouse	0	Email
Sarah Satterfield		0	Email
Jeff Donavant Government Sales Representative	Sales	0	Email
Katie Ferguson Government Sales Support Coordinator	Sales	0	Email
Sharon Jones marketing director	Marketing	0	Email
Karen Inman Governement Sales Account Manager	Sales	0	Email
Jeff Donavant government sales representative	Sales	0	Email
Lynda Leverette clerk		0	Email
David Watson government sales and dla account manager	Sales	0	Email
Veronica Stewart Sales Associate	Sales	0	Email
Jeff Donavant government sales representative	Sales	0	Email
Beverly Summers		0	Email

GIGA Email Metrics

GIGA has 31 email addresses.

GIGA has 28 personal email addresses, .

GIGA 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.