REVL Employee Directory
GB - alaska - England
About REVL
REVL is a comprehensive event discovery platform using peer to peer recommendations and distributed curation.
REVL Highlights:
REVL Leadership:
Employee | Department | Total Email Source | |
---|---|---|---|
Brandon Stephensfounder ceo | Executive | 0 | |
Sophie Samuelson-PowellPartnerships Executive | Executive | 0 | |
Mathew DownesBusiness Development Intern | Executive | 0 | |
Daniel Adamsfounder | Executive | 0 | |
Dan Adamsfounder | Executive | 0 | |
Jennifer Roebuckfounder cmo | Executive | 0 |
Contact profiles REVL:
Employee | Department | Total Email Source | |
---|---|---|---|
Jaymz Campbell | 0 | ||
Chris Whittlestonsenior data scientist | IT | 0 | |
Andrew CarrollHead of Product | Operations | 0 | |
Misha Ravatmarketing assistant | Marketing | 0 | |
Brandon Stephens | 0 | ||
Michael FreyerProduct Manager Intern | Management | 0 | |
Ben Holmessoftware engineer | Software | 0 | |
Tim Haguesystems engineer | Software | 0 | |
Shezad Khan | 0 | ||
Kj | 0 | ||
Oliver Dainmachine learning ai engineer | 0 | ||
Yuting ChengDigital Designer | Marketing | 0 | |
Janis Dzerinslead software breaker | Software | 0 | |
Andy Andy | 0 | ||
Amy HornbyEmail & Mobile Marketing Manager | Marketing | 0 | |
Migle Varnagiredata product content manager | Security | 0 | |
Stephanie Biletbusiness development manager | Finance | 0 | |
Ashley Sampson | 0 | ||
Jennifer Roebuckfounder marketing director | Marketing | 0 | |
Daniel Adamsconsultant | 0 | ||
Mike Freyerpart time product manager intern | Management | 0 | |
David Brewerfounding director | 0 | ||
Jenny Crookmarketing manager | Marketing | 0 | |
Aryn Hurst-Clarkbusiness development director | Finance | 0 | |
Francis Beasley | 0 | ||
Florian Lecluse | 0 |
REVL Email Metrics
REVL has 36 email addresses.
REVL has 33 personal email addresses, .
REVL has 3 generic email addresses.
REVL Employee Metrics:
REVL 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.
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