Zuckerberg Shakes Up Meta's Top Ranks
Mark Zuckerberg is reportedly "done with" one of Meta's highest-paid employees as part of an ongoing reorganization at the VP of Engineering level. The move is seen as part of a broader industry trend toward flattening management structures and prioritizing engineers with hands-on, impactful skills.
The executive at the center of the shake-up is Alexandr Wang, the 28-year-old founder of Scale AI. Meta invested over $14 billion for a 49% stake in his company, bringing him on to lead the "Meta Superintelligence Labs" in June 2025. Wang was positioned as the key to Meta's AI future, tasked with overseeing the company's entire AI research and development stack. Friction reportedly grew between CEO Mark Zuckerberg and Wang, with Wang finding Zuckerberg's hands-on management style to be "suffocating". In a significant move, Zuckerberg has now established a new, parallel applied AI engineering organization. This new group is designed to feed Meta's core AI models with data and tooling, effectively bypassing Wang's lab. The new applied AI engineering organization will be led by Maher Saba, a long-time Reality Labs executive, who will report directly to Chief Technology Officer Andrew Bosworth. This restructuring is seen as a "soft firing," leaving Wang with his title but stripping him of key operational control over infrastructure and data pipelines. The move suggests a pivot in Zuckerberg's strategy, centralizing control over Meta's massive AI investments. This reorganization is part of a broader tech industry trend known as "The Great Flattening," where companies eliminate layers of middle management to increase speed and efficiency. Companies like Google, Amazon, and Microsoft have made similar moves, aiming to reduce bureaucracy and empower individual engineers or "builders". For instance, Google has cut VP and manager roles, while Amazon focuses on improving its "builder ratio" of engineers to other roles. For engineers, this trend signals a heightened emphasis on hands-on technical skills over management aspirations. Flatter structures often empower smaller, more autonomous teams where individual contributors have more direct impact and decision-making ability. However, it can also lead to ambiguity in career progression, as traditional management tracks are removed.
