Buncee EDU Employee Directory

US - Calverton - New York

About Buncee EDU

Buncee EDU Highlights:

Location	Employees
United States 🇺🇸	25

Buncee EDU Leadership:

Employee	Department	Total Email Source
Marie Arturi founder ceo	Executive	5	Email
Loulou Gaget actor model	Executive	0	Email

Contact profiles Buncee EDU:

Employee	Department	Total Email Source
Claire Cucchi coo		1	Email
Chris Basso marketing associate	Marketing	1	Email
Lauren Haden		0	Email
Casey Pardue		0	Email
Manasi		0	Email
Seondong Kim developer	Management	0	Email
Sarah Yuki creative designer technical writer head tester	Diversity	0	Email
Lena Rao		0	Email
Meagan Bartlett graphic designer office manager	Warehouse	0	Email
Ja Young Lee graphic designer	Warehouse	0	Email
Sherri Norris		0	Email
Annie Garrity Education Associate	Management	0	Email
Minran Zhang		0	Email
Purav Shah		0	Email
Amy Krawczyk Educational Associate		0	Email
Shafique Arnab programmer	Engineering	0	Email
Gustavo Poscidonio Software Development Intern	Software	0	Email
Bonpreet Sethi cto		0	Email
Eve Lasser		0	Email
Francesca Arturi marketing	Marketing	0	Email
Adi Balwani		0	Email
Sid Chadha		0	Email
Arvind Agarwal manager product	Management	0	Email
Joel Min		0	Email
Josh Allen sales marketing executive	Marketing	0	Email
Bryan Gorman education associate	Operations	0	Email
Eda Gimenez associate product manager	Support	0	Email
Alicia Moss Ambassador		0	Email
Chelsea Kull Marketing Associate	Marketing	0	Email
Dawn Carroll		0	Email
Buncee Dev		0	Email
Aditya Balwani devops	Management	0	Email
Haley He full stack engineer		0	Email
Eda Gimenez strategy and business affairs manager		0	Email
Terrence Zeng intern	IT	0	Email
Hannah Kim graphic designer	Warehouse	0	Email
Gabrielle Comanda account support representative		0	Email

Buncee EDU Email Metrics

Buncee EDU has 45 email addresses.

Buncee EDU has 40 personal email addresses, .

Buncee EDU has 5 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.