Scale AI has picked a veteran enterprise software executive to lead its next chapter, signaling that the company is betting its future on selling AI products and services to businesses and governments rather than remaining known primarily as the company behind AI training data.
On Thursday, Scale AI announced that former Google Cloud executive Francis DeSouza will become chief executive officer on August 10. He succeeds Jason Droege, who has served as interim CEO since June 2025 after founder Alexandr Wang left to join Meta as its chief AI officer. Droege will remain involved during the leadership transition over the coming months.
The appointment marks a pivotal moment for one of the AI industry’s most influential infrastructure companies. Scale AI built its reputation by supplying the labeled data that helped train many of today’s frontier AI models. Now the company wants to deepen its presence in enterprise software and government AI projects, a shift that calls for a leader with decades of experience selling technology to large organizations.
“There is no better person to lead Scale through this critical moment in AI than Francis,” said Alexandr Wang, Scale AI Founder and Chairman of the Board. “He has led and scaled complex, technical businesses, and understands what it takes to serve both enterprises and governments at the highest level of trust and reliability. That’s exactly what Scale needs as more organizations depend on the company’s AI solutions for their most important decisions.”
DeSouza brings more than 30 years of experience across enterprise software, cybersecurity, cloud computing, and life sciences. Most recently, he served as chief operating officer and president of security products at Google Cloud, where he helped oversee one of the industry’s largest cloud businesses.
Before joining Google Cloud, DeSouza spent several years as president and CEO of Illumina, the genomic sequencing company. Scale AI said that during his tenure, Illumina grew annual revenue to more than $4.5 billion and broadened its presence to more than 150 countries. Earlier in his career, he served as president of products and services at Symantec and founded two startups that were later acquired by Microsoft and Symantec.
His academic background reflects his engineering roots. DeSouza earned both bachelor’s and master’s degrees in electrical engineering and computer science from the Massachusetts Institute of Technology.
Scale AI appoints former Illumina and Google Cloud executive Francis DeSouza as CEO
The leadership change comes as Scale AI broadens its ambitions beyond the data-labeling business that first made it a key player in the AI ecosystem. Enterprises are looking for practical AI applications that can improve operations, automate workflows, and help employees make better decisions. Governments are making similar investments, creating new opportunities for companies that can deliver secure AI systems at scale.
Scale AI has already begun building that customer base. The company said it recently signed BP and Mayo Clinic as enterprise customers and has widened its work with U.S. government agencies and international public sector organizations.
Those relationships could become increasingly valuable as businesses move from experimenting with AI to deploying systems across their operations. Many organizations still face challenges integrating AI into existing workflows, creating demand for companies that can provide trusted data, model evaluation, and production-ready AI applications.
The company enters this new phase after a major leadership reshuffle. Founder Alexandr Wang, who built Scale AI into one of Silicon Valley’s most valuable AI startups, joined Meta last year to lead the social media giant’s AI efforts. His departure left one of the industry’s most closely watched leadership vacancies at a time when competition across enterprise AI has intensified.
DeSouza inherits a company with strong relationships across the AI ecosystem and a growing customer roster outside the technology sector. His background suggests Scale AI intends to compete less on raw AI research and more on helping businesses and governments put AI to work in real-world settings.
That strategy reflects a broader shift across the AI industry. Building powerful foundation models remains expensive and concentrated among a handful of companies. Turning those models into products that organizations can deploy securely and reliably is becoming the next major battleground. With DeSouza at the helm, Scale AI is betting that enterprise execution will matter just as much as model innovation in the years ahead.
