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.
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In this episode, Felipe Streb explores cultural variations in work practices, communication, and trust-building in the tech industry. Felipe contrasts his work life in Spain and Germany, particularly noting differences in work hours and organizational preferences. His role at SEAT:CODE a digitalization center for the automotive industry, showcases the importance of agile development processes.
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.
In this episode David shares insights from his career at eBay and mobile.de. He underscores the importance of delivering valuable products to users and giving back to the community by advising early-stage startups. At mobile.de, his team is a balanced mix of internal and external members to foster innovation while maintaining core business integrity.
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.
