Phil is currently VP of Product & Engineering at Close.com, building a product people love and growing our SaaS business to be something great. Previously he spent two years leading the Engineering team at Quizlet, building study tools that millions of students relied upon. Phil has also interned at Google and Yahoo! as a software engineer, and did lots of freelance website design while at the University of Florida.
Co-founder of Brainhub, Matt describes himself as a “serial entrepreneur”. Throughout his career, Matt has developed several startups in Germany, wearing many hats- from a marketer to an IT Engineer and customer support specialist. As a host of the Better Tech Leadership podcast, Matt talks about growing successful businesses and the challenges of being a startup founder and investor.
In this episode, Pat Kua shares insights into his leadership success through nurturing others, particularly new tech leads, managers, directors, VPs, and CTOs, and stresses the need for personalized definitions of success. He highlights the importance of support for those transitioning into management roles and effective teaching skills for leaders.
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In this episode, Juan Garberi shares his transition from a software developer to a managerial role in the tech industry. The conversation covers complexities in project management, understanding individual team members, and adapting to diverse skill sets while highlighting cultural differences and finding common ground within teams.
This episode features a conversation between Matt and Yenny Chung, exploring various aspects of leadership, team empathy, and continuous personal and professional growth. They discuss the intricacies of change management, particularly during turbulent times, and the necessity of clear communication and documentation to set a vision.
In this episode Leszek interviews Andrew Martinez, VP of Product at Honeysales. Their discussion highlights the role of AI in enhancing human efficiency, focusing on balancing AI autonomy with maintaining seller control over messaging. Challenges like ensuring personalized communication and improving AI output through examples of effective messages are addressed.
