Zignal Labs
Kyle Ketchmark has a diverse work experience. Kyle started their career in 2017 as a Super Bowl 52 Experience Area Manager at the National Football League (NFL), where they managed a team of over 100 people and oversaw operations in the ticketing/admissions area. In 2017, they also worked at FedEx Freight as an Outbound Dockworker - Forklift Operator. From 2019 to 2020, Kyle worked at Kendall Howard as an Account Executive, managing over 150 accounts and helping facilitate over $2 million in sales quarterly. Kyle developed email marketing campaigns, revamped marketing department initiatives, and built strong relationships with new and existing accounts. Prior to that, Kyle served in the Minnesota Army National Guard as an Infantry Fire Team Leader from 2015 to 2022. Kyle was mobilized to the Horn of Africa for Operation Enduring Freedom from June 2020 to May 2021, where they served as a leader of a fire team and was responsible for tactical employment and equipment maintenance. Currently, Kyle works at Zignal Labs as an Inside Sales Representative, bringing real-time intelligence to various sectors and executing personalized outreach campaigns. Kyle also hosts product demos for mid-market customers.
Kyle Ketchmark obtained a Bachelor of Business Administration - BBA degree in Marketing and Business/Management from Hamline University, where they studied from 2015 to 2019. In 2021, they enrolled in Eleven Fifty Academy and successfully completed their Full Stack Grad program, specializing in web development. In January 2022, Kyle obtained additional certifications including the CIW Advanced HTML5 and CSS3 Specialist certification and the CIW JavaScript Specialist certification from Certification Partners (CIW).
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Zignal Labs
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Zignal’s Narrative Intelligence Cloud analyzes billions of digital stories in real time to help customers discover and manage the narratives that can help or harm them. Used by the world’s largest companies and public sector organizations, Zignal’s natural language processing and machine learning algorithms identify risks and opportunities as they emerge, and provide insight into how to shape the narratives that matter most.