Luca Albertalli is a product and technology executive with 11 years of experience building data-driven products and platforms, currently Senior Director of Product Management at Guild where he oversees Payments and Identity and helps move over $1B in transactions annually without incidents. He combines deep technical chops—demonstrated by back-end contributions to the open-source Cayley graph database—with strategic product leadership that boosted data quality and partner trust by 26% and co-led an AI Ops platform for classic ML, edge AI, and agentic workflows. Luca has a consistent track record of turning data and experimentation into revenue and efficiency gains across companies from Sony and Shopkick to Data Axle, including driving $500M+/year improvements via experimentation and expanding sellable databases through metric-driven initiatives. Comfortable at the intersection of engineering, data science, and GTM, he also advises startups on RL and product-market fit, bringing both hands-on implementation experience and an operator’s eye for monetization. Notably, his background blends rigorous computer engineering training with an MBA and recent AI strategy certification from MIT Sloan/CSAIL, signaling a rare mix of technical depth and business strategy.
11 years of coding experience
14 years of employment as a software developer
Master of Science Computer Engineering, Master of Science Computer Engineering at Politecnico di Torino
Diploma of Alta Scuola Politecnica (ASP) Innovation, Diploma of Alta Scuola Politecnica (ASP) Innovation at Alta Scuola Politecnica
Certificate MIT Sloan + CSAIL Artificial Intelligence: Implications for Business Strategy Program Artificial Intelligence, Certificate MIT Sloan + CSAIL Artificial Intelligence: Implications for Business Strategy Program Artificial Intelligence at MIT Sloan School of Management
MBA with Distinction International Business, MBA with Distinction International Business at Hult International Business School
Master of Science Computer Engineering, Master of Science Computer Engineering at Politecnico di Milano
Diploma di Scuola Superiore, Diploma di Scuola Superiore at Liceo scientifico e. Fermi
Contributions:7 commits, 3 PRs, 14 comments in 4 days
Contributions summary:Luca focused on enhancing the Cayley graph database's functionality by modifying core components and configurations. They implemented new command-line options to manage duplicate or missing quads during data loading and deletion operations. Further contributions included refactoring the codebase, such as moving configuration settings, and modifying the interface and applying deltas within the quadstore implementations, showing a deep understanding of the database's architecture. These changes affect the underlying logic of data storage and retrieval, improving the overall data integrity and providing better control over data ingestion.
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