Justin Waugh is a highly accomplished and results-oriented technology leader with over 15 years of experience in software engineering, product management, and strategic innovation. He has a proven track record of building and scaling high-performing teams, delivering complex software solutions, and driving digital transformation initiatives in fast-paced environments. Justin is passionate about leveraging emerging technologies like AI, cloud computing, and data analytics to solve real-world problems and create impactful user experiences. He is recognized for his strong analytical skills, collaborative leadership style, and commitment to fostering a culture of continuous learning and excellence.
Justin Waugh's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully architected and led the cross-functional development team for a new enterprise SaaS product, which acquired over 10,000 active users within its first year and received an industry award for innovation.
Instrumental in growing the engineering department from 15 to 45 members, implementing effective recruitment strategies, mentorship programs, and agile methodologies that improved productivity and team morale.
Spearheaded a major cloud migration initiative from on-premise infrastructure to AWS, resulting in a 30% reduction in operational costs and significantly enhanced system scalability and reliability.
Invited as a keynote speaker to share insights on 'The Future of AI in Product Development' at a leading industry conference, highlighting thought leadership in the tech community.
University of Colorado Boulder - Year 2010
Virginia Tech - Year 2007
Virginia Tech - Year 2007
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Approximate Labs is building a cloud-native platform that combines the power of stream processing with the simplicity of SQL, enabling developers to build real-time, scalable, and cost-effective data applications. They aim to simplify the development of applications that require immediate insights from constantly changing data.
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