Michael Scranton, Cspo, MBA, M Fin, Ph.D. Candidate
About Michael Scranton, Cspo, MBA, M Fin, Ph.D. Candidate
Michael Scranton is an Enterprise Account Executive with extensive experience in sales and business development. He currently holds positions at Coderio Software Company and Gigster, and has a strong educational background in psychology, engineering, finance, and business administration.
Current Role at Gigster
Michael Scranton currently holds the position of Enterprise Account Executive at Gigster. He has been in this role since 2023, contributing for one year. His responsibilities include managing enterprise accounts and driving customer acquisition strategies to enhance business growth.
Previous Experience at Gigster
Prior to his current role, Michael served as the Director of Growth, Customer Acquisition at Gigster for two months in 2023. He also worked as a Senior Product Manager at the same company for three months in 2023, where he focused on product development and management.
Education and Expertise
Michael Scranton has an extensive educational background. He holds an MBA and a Master's degree in Finance from Universidad del CEMA. He is also pursuing a Doctor's Degree in Finance at the same institution. Additionally, he has studied Psychology, Project Management, and Systems Engineering, achieving various degrees and certifications, including a Certified Scrum Product Owner (CSPO).
Professional Background
Michael has a diverse professional history. He worked as the Chief Revenue Officer at Hyperbloq from 2022 to 2023 and as Director of Business Development at Medical Web Experts from 2016 to 2018. His earlier roles include IT Recruiter and Senior Recruiter at HV Talent, and Client Engagement Executive at both GlobalDevCenter and BairesDev. His experience spans over a decade in technology recruitment, sales, and account management.
Skills and Specializations
Michael specializes in Agile methodologies, enterprise software architecture, and lead generation strategies in the LATAM and North American markets. He focuses on optimizing engineering processes and engages in data-driven decision-making. His expertise also includes working with AI and machine learning projects, utilizing natural language processing and data analysis techniques.