Careem appoints three tech leaders to help achieve Vision 2022
Careem is often thought of as a tech company but they recognise that people are their most valuable asset.
And now, building a stronger tech team is more important than ever before. Careem’s 2022 vision is to become the regions everyday super app. To make this vision a reality, Careem has been searching for the best leaders with the right expertise to support the scaling and reliability of ride-hailing.
Careem has appointed three senior tech leaders in its ride-hailing domain over the past few weeks: Moin Moinuddin, Reno Marioni and Mohamad Charafeddine.
Moin Moinuddin will lead engineering for Careem’s ride-hailing domain. Prior to Careem, Moin was the product and engineering leader at Tesla, based in the United States. At Tesla, he was responsible for leading global ecommerce, POS and its payments platform to enable a worldwide frictionless commerce experience for Tesla customers.
Before that, Moin spent close to 20 years in senior tech-leadership positions across Microsoft, Dropbox and Visa. Moin started his professional career as a developer where his first big achievement after graduation was developing a POS system that is still used by Starbucks around the world.
Reno joined Careem as Product Director for Marketplace in Berlin. Before joining Careem, Reno was the Chief Product Officer for Moovel, now known as ReachNow, the Mobility-as-a-Service arm for the Daimler/BMW Mobility joint venture, where he led product and design teams.
Prior to this, he served as the Senior Director of Digital Products & Services at BMW Group, where he led digital service innovation for the BMW Connected Car ecosystem in Munich, Germany. Marioni was influential in spearheading the transformation of BMW into the connected car digital services across all consumer touch points. He also worked at HERE Technologies, Nokia, and founded his own startup.
Mohamad will be heading Product for Trust, Safety and Integrity and Care. He recently relocated from Silicon Valley, where he worked on Core ML for business integrity at Facebook to classify and enforce on all ads content in order to reduce personal, financial, sentiment, and societal harms.
Prior to that, he headed product strategy and execution for the applied AI R&D lab at Samsung SDS Research America, where he led applications of Reinforcement Learning and Deep Learning in multiple domains such as digital marketing, healthcare, and manufacturing. He was part of the founding team for a Stanford spin-off startup, ASSIA, where he built big data mining software to diagnose and optimize entire access networks for telecommunication service providers with 100M households under management.
