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Peter Dangoia is a seasoned product leader, technologist, and entrepreneur with over two decades of experience in designing, building, and scaling digital products and services. He is the co-founder of Spry Group, a digital product consultancy that helps businesses innovate and grow. Peter has a strong background in product strategy, user experience design, software development, and leading cross-functional teams. He has worked with a diverse range of clients, from startups to large enterprises, helping them navigate complex challenges and leverage technology to achieve their business goals. He is passionate about creating meaningful user experiences and driving digital transformation.
Peter Dangoia's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Spry Group in 2006, a digital product consultancy focused on strategy, design, and engineering. Led the company in delivering innovative solutions for a wide array of clients, fostering growth and digital transformation.
Led product strategy and development for Resy, a prominent restaurant reservation and management platform. Played a key role in the platform's growth and user experience, contributing to its eventual acquisition by American Express.
Actively shares insights on product management, technology, and entrepreneurship through his personal blog and other publications, contributing to the broader tech community.
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.
RELX (formerly Reed Elsevier) is a global provider of information-based analytics and decision tools for professional and business customers. It empowers users in various sectors, such as science, medicine, law, risk management, and business, by delivering critical data, insights, and platforms that help them make better decisions, get better results, and be more productive. Their solutions often involve advanced technologies like AI and machine learning to process vast amounts of data and provide actionable intelligence.
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