Zignal Labs
Connor Muldoon has a diverse work experience, starting with their current role as a Customer Success Manager at Zignal Labs. Prior to this, they worked as an Insight Analyst at the same company and also served as an Insight Analyst Intern.
In 2021, Connor worked as a Social Media Intern at the New York Post, and as a Public Information Intern at the Syracuse Police Department.
Before that, they held various positions at Syracuse University - Maxwell School, including Administrative Assistant/Course Administrator and Teaching Assistant. Connor also served as a Producer for SU DanceWorks during this time.
In 2020, Connor gained experience as a Public Relations Intern at the Warren County MS Board of Supervisors and as a Legal Intern at Robert A. Gleaner, P.C.
In 2019, they worked as a Research Consultant at Syracuse University Summer College.
Overall, Connor Muldoon's work experience demonstrates a range of roles in customer success, data analysis, social media, public relations, and legal internships. Connor has also been involved in administrative and teaching roles at Syracuse University.
Connor Muldoon's education history includes attending Syracuse University. The specific dates are not provided. Connor pursued a degree in Public Relations at the S.I. Newhouse School of Public Communications at Syracuse University from 2019 to 2022. Additionally, Connor engaged in studies at the Maxwell School of Syracuse University from 2018 to 2022, focusing on Policy Studies with a field of study in Law.
In terms of certifications, Connor obtained the PESO Model Certification from SpinSucks in March 2021. Additionally, Connor received the HubSpot Content Marketing Certification from HubSpot Academy in August 2020.
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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.