NAPA Flats Wood Fined Kit Employee Directory
US - College Station - Texas
About NAPA Flats Wood Fined Kit
we created napa flats wood-fired kitchen to celebrate our love of fresh, homemade food, great beverages, and memorable desserts. we wanted a menu that was familiar without being comm... Read more
Contact profiles NAPA Flats Wood Fined Kit:
Employee | Department | Total Email Source | |
---|---|---|---|
Sadie Heloumarketing manager | Marketing | 0 | |
Elizabeth Shecterle | 0 | ||
Mikayla LewalskiHostess | 0 | ||
Zoe Admin | 0 | ||
Andrew OtisWaiter | 0 | ||
Sofia Llaguno-Villalon | 0 | ||
Kent AbneyConsulting CFO | Accounting | 0 | |
Nicholas Kottkebar manager | 0 | ||
Emerson GrayBartender / Trainer / Server | 0 | ||
Julie MizeServer | 0 | ||
John Crancermanaging partner | Management | 0 | |
Isabelle Goetz | 0 | ||
Jonathan LeydenHead Waiter | 0 | ||
Zachary PaceBar Tender | 0 | ||
Hilary BaileyCustomer Service | Management | 0 | |
Dylan ForemanServer | 0 | ||
Katelyn WhelanServer | 0 | ||
Drew LucasWaitress, Bartender, Trainer | 0 | ||
John CrancerManaging Partner | Management | 0 | |
Peter GembolServer | 0 | ||
Kaitland CurrierServer | 0 | ||
Juan GonzalezManaging Partner | Management | 0 | |
Tony Abdallamanaging partner | Management | 0 | |
Dana Dupreemanaging partner | Management | 0 | |
Kaitlyn CavnessServer | 0 | ||
Blake AndersonServer | 0 | ||
Leigha Suttonpastry chef ? | 0 | ||
Anthony WeigandServer | 0 | ||
Tom Kenneyowner | 0 | ||
Shelby McclungHeadwait & Server | IT | 0 | |
Sadie Helouit works! global distributor and marketing manager | IT | 0 | |
Gregory Schwabkitchen manager | 0 | ||
Sarah Williamsbar manager | 0 |
NAPA Flats Wood Fined Kit Email Metrics
NAPA Flats Wood Fined Kit has 36 email addresses.
NAPA Flats Wood Fined Kit has 33 personal email addresses, .
NAPA Flats Wood Fined Kit has 3 generic email addresses.
NAPA Flats Wood Fined Kit Employee Metrics:
NAPA Flats Wood Fined Kit has email addresses in the following departments: .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.