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Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Chris May is a highly accomplished and results-oriented technology leader with over 18 years of experience in software engineering, product development, and strategic innovation. He has a proven track record of building and scaling high-performing engineering teams, delivering complex software solutions, and driving digital transformation initiatives. Chris is passionate about leveraging cutting-edge technologies like AI, cloud computing, and big data to solve real-world problems and create impactful products. He excels in fast-paced, agile environments and is known for his strong technical acumen, leadership skills, and ability to translate business vision into technical reality. Throughout his career, Chris has been instrumental in developing and launching successful products across various domains, including SaaS, enterprise software, and consumer applications.
Chris May's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded a cross-functional team of 50+ engineers and data scientists to design, develop, and launch an innovative AI-powered analytics platform. The platform received the 'Tech Innovator of the Year' award and drove a 30% increase in customer engagement for key clients within its first year.
Successfully scaled the engineering department from 20 to 80+ members while maintaining a strong engineering culture, improving development velocity by 60%, and reducing time-to-market for new features through optimized agile processes and robust CI/CD pipelines.
Orchestrated the successful migration of legacy on-premise infrastructure to a modern cloud-native architecture (AWS/Azure), resulting in 40% operational cost savings, enhanced scalability, and improved system reliability for critical business applications.
Co-invented and patented a novel algorithm for efficient large-scale data processing, which significantly improved data ingestion and query performance for a flagship big data product, providing a key competitive differentiator.
Colorado Technical University - Year 2004
University of Phoenix - Year 2002
Southern New Hampshire University - Year 1996
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