Frank Luckangelo
About Frank Luckangelo
Frank Luckangelo is the SLED North Sales Director at SentinelOne with over 25 years of experience in technology sales.
Company
Frank Luckangelo currently works at SentinelOne, where he serves as the SLED North Sales Director. SentinelOne specializes in endpoint security solutions and is known for its advanced AI-driven technology. Prior to this, Frank held the role of Mid-Atlantic Enterprise Sales Director at the same company from 2022 to 2024.
Title
As the SLED North Sales Director at SentinelOne, Frank Luckangelo oversees sales operations for the state, local, and education sectors in the northern region. His role involves strategizing and executing sales initiatives to meet organizational objectives.
Education and Expertise
Frank Luckangelo earned an MBA from Temple University and holds a BS in Business Administration from Bloomsburg University. With over 25 years of experience in technology sales, he has established proficiency in fields including field sales, channel management, and sales leadership. His expertise extends to SaaS and Cloud Security, and he is known for consistently surpassing annual quotas.
Background
Frank Luckangelo's career spans multiple significant roles across various companies. He has served as Northeast Area Sales Director at Fortinet, Director of Sales at Nimble Storage, and had two pivotal roles at NetApp. Earlier in his career, he worked at StorageTek, Sybase, and Continental Resources. Frank has a detailed understanding of the channel and distribution, leveraging this knowledge to achieve exceptional financial outcomes.
Achievements
Throughout his career, Frank has consistently overachieved annual quotas while providing strategic thought leadership. He specializes in hiring and promoting top talent, and is experienced in organizing and leading strategic marketing events to drive new business. He trains internal sales teams and channel partners, establishes internal programs to develop the sales pipeline, and utilizes tools like Salesforce.com and Siebel for revenue forecasting.