This episode welcomes Maria Maragkou, VP of Product at Riverlane, a pioneering company working on error correction for quantum computers. Maria, with her background in physics and business, brings a unique perspective to product development in the rapidly evolving landscape of deep tech.
Key Takeaways:
●Beyond Traditional Product Development: Discover how Riverlane embraces an iterative product development process ("acty") that prioritizes continuous learning, customer collaboration, and adapting to the uncertainty inherent in the quantum computing industry.
●Performance Metrics Redefined: Learn how this iterative approach necessitates a shift in performance measurement, moving away from traditional output-focused metrics towards those that reflect learning, customer feedback integration, and the strength of strategic partnerships.
●Building High-Performing Teams: Gain insights into Maria's strategies for building and managing high-performing teams in a deep tech environment. She shares her perspectives on fostering psychological safety, embracing failure as a learning opportunity, and attracting talent equipped for the unique demands of quantum computing.
This episode is a must-watch for:
●Product managers in deep tech and emerging industries
●Anyone interested in the unique challenges and opportunities of quantum computing
●Leaders seeking innovative approaches to product development and performance management
