Cooper Reid
About Cooper Reid
Cooper Reid is a Solutions Engineer with extensive experience in customer-facing technical roles, including positions at companies such as Betteridge, Optimizely, and Slack. He holds a Bachelor of Science in Computer Science from Manhattan College and an AWS Solutions Architect certification.
Current Role at Statsig
Cooper Reid currently holds the position of Solutions Engineering at Statsig, where he has been employed since 2022. In this role, he leverages his extensive experience in customer-facing technical positions to enhance the company's solutions offerings. His responsibilities include collaborating with clients to understand their needs and providing tailored technical solutions.
Professional Experience Overview
Cooper Reid has a diverse professional background with significant experience in various technical roles. He worked at Betteridge as a Fullstack Web Developer from 2012 to 2014, followed by a position at JW Player as a Sales Engineer from 2014 to 2017. He then served as a Senior Solutions Architect at Optimizely from 2017 to 2018 and later as a Lead Solutions Architect at the same company from 2018 to 2020. After a year as a Technical Architect at Slack, he joined mParticle as a Senior Solutions Engineer from 2021 to 2022.
Educational Background
Cooper Reid studied at Manhattan College, where he earned a Bachelor of Science (B.S.) degree in Computer Science from 2006 to 2010. His education provided a foundation in technical principles and practices, which he has applied throughout his career in various engineering roles.
Certifications and Expertise
Cooper Reid holds an AWS Solutions Architect (Associate) certification, which demonstrates his expertise in cloud solutions. This certification reflects his knowledge and skills in designing distributed systems and applications on the AWS platform, enhancing his capabilities in technical roles.
Publications and Contributions
Cooper Reid has contributed to discussions and written articles on various topics, including identity resolution, optimal reliability and performance in implementations, and the power of pricing experiments. He has also engaged in conversations about build vs. buy decisions regarding feature flagging and experimentation platforms, showcasing his thought leadership in the field.