Gnip, Inc Employee Directory
US - Boulder - Colorado
About Gnip, Inc
gnip is the world's largest and most trusted provider of social data, serving customers in a range of industries from social media monitoring and business intelligence to finance and... Read more
Gnip, Inc Leadership:
Employee | Department | Total Email Source | |
---|---|---|---|
Rob Johnsondirector business strategy | Executive | 1 | |
Seth Mcguiredirector business development | Executive | 0 | |
Jack Harveyexecutive vp partnerships | Executive | 0 | |
Shannon Maierexecutive assistant | Executive | 0 |
Contact profiles Gnip, Inc:
Employee | Department | Total Email Source | |
---|---|---|---|
Ian Cairns | 3 | ||
Randy Almondvp marketing | Marketing | 0 | |
Adam Tornessenior product manager | 0 | ||
Kate Gregurassenior accountant | 0 | ||
Elaine Ellismarketing manager | Marketing | 0 | |
Fb Christiana8Marketing Intern | Marketing | 0 | |
Chris Chrisceo | 0 | ||
Bre Brassealfounder | 0 | ||
Jud Valeski | 0 | ||
Eric Ryansoftware engineer | Software | 0 | |
Fred Funkehead data sales | Sales | 0 | |
Stephen Morsemanaging director | Management | 0 | |
Charles Incestrategic account manager | Operations | 0 | |
Greg Greenstreetvp engineering | 0 | ||
Katie Derrfinance director | Finance | 0 | |
Brian Lehmandata scientist | Security | 0 | |
David Healpartnerships | 0 | ||
Erik Cunninghamsenior software engineer | Software | 0 | |
Scott Engstrom | 0 | ||
Jud Valeski | 0 | ||
Garry Andersonsenior operations engineer | Operations | 0 | |
Glen Allison | 0 | ||
Jud Valeskicto | 0 | ||
Eoin Coffeysoftware engineer | Software | 0 | |
Brad Bokal | 0 | ||
Place Holder | 0 | ||
Linds Panthercustomer success program manager | 0 | ||
Dan Richelsonlead software engineer | 0 |
Gnip, Inc Email Metrics
Gnip, Inc has 36 email addresses.
Gnip, Inc has 32 personal email addresses, .
Gnip, Inc has 4 generic email addresses.
Gnip, Inc Employee Metrics:
Gnip, Inc 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.