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.
Thomas Dodson has a strong track record of delivering quality products on time, driving technical strategy, and building high-performing teams while demonstrating proficiency in a range of technologies and a passion for mentoring the next generation of engineering managers.
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In this episode, Matt interviews Geoffrey Teale about diversity in engineering, developer experience, and leadership. Geoffrey shares his experiences and insights on building diverse teams, fostering a positive developer experience, and making contrarian decisions. He also recommends books and resources that have been helpful to him as a leader in tech!
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In this episode, Leszek and Paul van der Boor discuss balancing innovation with regulatory compliance in fintech. Paul shares his career journey and insights on product leadership at Mollie, a payments company. They discuss embedded finance, building products in a regulated environment, and leadership lessons.
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In this episode, Mirko Kämpf shares the unconventional steps he took in his career journey. He emphasizes the importance of understanding systems and translating knowledge. Mirko also discusses AI readiness, highlighting the need for both organizational and individual preparedness, and the delicate balance organizations must strike between investigating new possibilities and implementing practical solutions.
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In this episode, Matt and Martin Miller discuss bridging the gap between technical teams and non-technical founders in startups. They talk about the importance of collaboration, communication, and realistic expectations. Martin also shares his perspective on AI, machine learning, and how companies can maximize their return on investment in AI/ML initiatives.
