MD

Marios Dixon

Enterprise Account Manager at Ravelin

Marios Dixon has a diverse work experience spanning across various companies. Marios began their career as an Aviation Operational Officer at Manchester Airport from February 2013 to July 2015.

Marios then joined Deliveroo in January 2016 and worked as an Operations Coordinator. During their tenure, they led a team that implemented strategic processes for onboarding new riders in London, achieving a 63% increase in targets while ensuring a uniform experience for candidates.

In July 2017, Marios Dixon had a secondment opportunity as a Communications and Engagement Associate at Deliveroo. Marios worked on the Roo Community website, collaborating with multiple stakeholders to address safety concerns for riders and increase engagement within the UK&IE rider community. Their secondment ended in October 2017.

In 2018, Marios Dixon joined GoCardless as a Market Development Representative. Marios successfully led initial discussions with prospective clients, developed new accounts, and expanded existing ones. Marios excelled in client consultations, ensuring comprehensive information about the value proposition and closing new business deals within a 30-day period. In February 2020, they were promoted to Senior Market Development Representative, where they led a team, conducted upselling conversations with existing merchants, and facilitated onboarding sessions for new starters. Marios then transitioned to the role of Account Executive - SMB, where they sourced new clients, exceeded booking targets, and maintained and grew a sales pipeline.

Most recently, Marios Dixon joined Ravelin Technology in February 2023 as an Enterprise Account Manager. The details of this role are not provided.

Marios Dixon obtained a Bachelor's degree in Business Administration, Management and Operations from Birkbeck, University of London between 2015 and 2018.

Location

London, United Kingdom

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Ravelin

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AI-native Ravelin provides technology and support that helps 300+ online companies prevent evolving fraud threats and serve customers with confidence. Combining machine learning, graph networks, behavioral analysis, and expert rules, Ravelin has been enabling businesses to draw deeper insights from their customer data to detect fraud, account takeover and promotion abuse, and increase payment acceptance for over 10 years. www.ravelin.com


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51-200

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