Urbvan Employee Directory

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

Urbvan's key employees include: founder: joao albino . Looking for contact data? Unlock accurate emails and phone numbers for your ideal prospects with Tomba.

Q: What does Urbvan do?

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

Q: What is the companies similar for Urbvan?

The companies similar for Urbvan, including Ujoy Game 游卓网络 , Universal Air and Heat , RFID , US Fiber , University of Puerto Rico, Aguadilla , Ulian Art Textil , Uniquest Creative , Upstairs Traprenovatie BV , Unitech Rio .

MX - Mexico City - Federal District

Email Format Company overview

About Urbvan

urbvan is a daily commute transportation system with strategic network of routes and top of the line executive vans, that aim to make daily commuting in mexico more efficient, access... Read more

Urbvan Highlights:

Location	Employees
Mexico 🇲🇽	8

Urbvan Leadership:

Employee	Department	Total Email Source
Joao Albino founder	Executive	4	Email

Contact profiles Urbvan:

Employee	Department	Total Email Source
Pablo Trinidad		1	Email
Rodolfo Rodr 謯五僩Uez cmo		4	Email
Renato Picard co fundador		4	Email
Braulio Mendoza growth marketing manager	Warehouse	0	Email
Cinthya Montelongo		0	Email
Juan Bejarano Android Developer	Software	0	Email
Renato Picard co fundador		0	Email
Dharwin Perez lead developer	Support	0	Email
Hiram Guzman development lead en urbvan	Software	0	Email
Pedro Acosta python backend developer		0	Email
Daniel Salinas ios developer		0	Email
Daniel Salinas ios developer		0	Email
Kevin Alonso head of data science		0	Email
Eduardo Tiburcio operations controller	Engineering	0	Email
Oscar Mendoza new business ops manager		0	Email
Ana Ojeda project manager	Engineering	0	Email

Urbvan Email Metrics

Urbvan has 21 email addresses.

Urbvan has 19 personal email addresses, .

Urbvan 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.