Meg Bresnahan
About Meg Bresnahan
Meg Bresnahan is an Enterprise Account Manager at Recorded Future, where she has held various positions since 2018, including Account Executive and Account Manager. She holds a Bachelor's Degree in Economics from Boston College and has a strong interest in leveraging machine learning for threat intelligence analysis.
Current Role as Enterprise Account Manager
Meg Bresnahan currently holds the position of Enterprise Account Manager at Recorded Future, where she has been employed since 2024. In this role, she engages with potential clients to discuss the benefits of threat intelligence solutions. Her responsibilities include managing enterprise accounts and ensuring client satisfaction with the company's offerings.
Previous Experience at Recorded Future
Meg Bresnahan has held multiple positions at Recorded Future, contributing to her expertise in the field. She served as a Business Development Representative from 2018 to 2019, followed by a role as Account Executive from 2020 to 2022. Additionally, she worked as an Account Manager from 2022 to 2024 and briefly as a Strategic Account Executive in 2019. Her tenure at Recorded Future spans several years and various roles, showcasing her growth within the organization.
Educational Background
Meg Bresnahan studied at Boston College, where she earned a Bachelor’s Degree in Economics from 2013 to 2017. Prior to that, she attended St. Bernard's High School from 2009 to 2013. Her educational background provides a foundation for her career in business development and account management.
Internship and Early Work Experience
Before her extensive career at Recorded Future, Meg Bresnahan gained experience as a Marketing Intern at We Like Tuscany in 2016, where she worked for two months in Florence, Italy. Additionally, she worked as a Hostess at The Islander in 2015 for two months in Osterville, MA. These early roles contributed to her professional development.
Expertise in Threat Intelligence and Machine Learning
Meg Bresnahan has a strong interest in leveraging machine learning for threat intelligence analysis. She focuses on integrating machine learning technology with existing security systems, enhancing the effectiveness of threat intelligence solutions. Her expertise in this area aligns with her current role and responsibilities.