Matt McClernan, CEO of Augment Code and former executive at MongoDB and Workato, shares why great leadership requires honesty, adaptability, and the willingness to ask for help. In this episode, host Damon Lembi and Matt explore what happens when business goals become outdated almost overnight, why admitting mistakes builds more trust than pretending to have all the answers, and how leaders can guide teams through constant change. Drawing from his experience scaling MongoDB and leading an AI company, Matt explains how to balance confidence with humility, bring AI skeptics and enthusiasts together, and stay focused on what matters most when everything feels urgent.
Read the full breakdown of Matt McClernan's episode on Learnit.
Key Leadership Lessons from Matt McClernan's Journey:
Own the Mistake Before You Lose Trust: Learn why acknowledging when goals are no longer relevant, explaining what changed, and being transparent with your team can strengthen credibility during uncertainty.
Ask for Help Instead of Pretending to Know Everything: Discover why even experienced CEOs need trusted advisors and how vulnerability, collaboration, and asking the right questions can make leaders more effective.
Lead With Purpose, Not Fear: Understand why helping employees see the reason behind change, listening to AI skeptics, and focusing on your biggest priorities can keep teams aligned even when the direction shifts.
Connect with Matt McClernan:
Matt McClernan is the CEO of Augment Code, an AI-powered software development platform for professional engineers. With nearly two decades of experience in enterprise technology, Matt has built and led teams through rapid growth, organizational transformation, and complex business challenges. Before joining Augment Code, he served as Senior Vice President and General Manager of Workato's Enterprise business. Earlier in his career, he held several leadership positions at MongoDB, helping scale the company from approximately $60 million to more than $1.2 billion in revenue and guiding it through its initial public offering. Today, Matt focuses on helping software development teams work more effectively with AI while building an organization that embraces adaptability, transparency, and continuous learning.
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