Scale AI turns to Google Cloud veteran to steer post-wang era. Scale AI has appointed Francis deSouza, former COO of Google Cloud and ex-CEO of Illumina, as its new CEO effective August 10. Succeeding interim leader Jason Droege, deSouza brings deep enterprise experience to help the company expand beyond data labeling into full AI applications for businesses and governments. The move comes after founder Alexandr Wang joined Meta last year. Thursday, July 30, 2026 Scale AI just named a battle-tested enterprise operator as its new chief executive. Francis deSouza, who spent years as chief operating officer at Google Cloud, will take the helm on August 10. The move signals a clear shift for the data-labeling powerhouse that once defined itself through breakneck growth under a twentysomething founder. Alexandr Wang built Scale from a Y Combinator idea into a company valued at tens of billions. He left last year to lead Meta's superintelligence push after the social media giant poured $14.3 billion into a minority stake. Wang's departure left a leadership vacuum. Jason Droege stepped in as interim CEO. Now deSouza arrives with more than three decades of experience selling complex technology to big organizations. His track record stands out. As chief executive of Illumina, deSouza expanded the gene-sequencing firm into more than 150 countries and drove annual revenue past $4.5 billion. Before that he held the presidency at Symantec. He even founded two companies that larger players acquired, one by Microsoft and another by Symantec itself. The man knows how to scale operations and close deals with cautious buyers. Yahoo Finance first reported the appointment Thursday morning. Scale needs exactly that kind of steady hand. The company still dominates the market for high-quality training data that powers frontier models at OpenAI, Anthropic and others. Yet its ambitions have broadened. It now sells complete AI applications aimed at enterprises and governments. New customers include BP and the Mayo Clinic. Government contracts have grown too. Revenue projections for 2026 now top $1 billion, according to a person familiar with the figures who spoke on condition of anonymity. But success in this next phase demands something different from the early days. Data labeling once relied on armies of human annotators. Today the work mixes automation, expert review and sophisticated evaluation frameworks. Enterprises want solutions that drop straight into their existing workflows. Governments demand ironclad security and compliance. DeSouza's time at Google Cloud exposed him to both worlds. He helped sell cloud infrastructure to skeptical chief information officers while navigating the regulatory maze that surrounds large technology contracts. And the timing feels deliberate. Meta's investment last summer rattled the industry. Google and OpenAI reportedly walked away from major data deals with Scale to avoid feeding a competitor. The loss stung. Yet Scale kept its independence. Interim CEO Droege emphasized that point in a blog post last year, promising the company would chart its own course. He will now spend the coming months guiding deSouza through the transition. DeSouza inherits a firm transformed by the AI boom. What began as a service for self-driving car companies grew into the invisible backbone of modern model development. Every major lab depends on clean, accurately labeled data. Scale's evaluation platforms help teams measure whether their latest model actually improved. That combination of data and judgment has proven hard to replicate. Still, competition intensifies. New entrants promise automated labeling at lower cost. Hyperscalers build internal tools to reduce reliance on outside providers. Chinese labs race ahead on their own data pipelines. Scale must defend its lead while expanding into finished applications. The applications business, in particular, represents both opportunity and risk. Enterprises pay premium prices for tools that solve concrete problems. They also expect vendors to shoulder liability when those tools fail. DeSouza's enterprise DNA could prove decisive here. Illumina sold sophisticated instruments to research labs and hospitals. The sales cycles stretched long. Buyers scrutinized every claim about accuracy and reliability. Those same buyers now evaluate AI systems. They worry about hallucinations, bias and brittleness in high-stakes settings. A CEO who has closed those deals before brings credibility that pure AI founders sometimes lack. His MIT degrees in electrical engineering and computer science don't hurt either. Technical fluency helps when board discussions turn to model architectures or evaluation methodologies. Yet deSouza's real strength lies in execution. He grew businesses. He integrated acquisitions. He managed thousands of employees across continents. Scale, despite its high valuation, remains a company of several thousand people wrestling with the messy realities of human-in-the-loop AI. The hire also reflects broader trends rippling through the industry. Talent wars have escalated. Microsoft poached more than 20 researchers from Google DeepMind in recent months. OpenAI lured key architects away from the same lab. Meta's aggressive recruiting, including Wang himself, has redrawn org charts across Silicon Valley. In this environment, operational experience commands a fresh premium. Building models grabs headlines. Shipping reliable products to paying customers pays the bills. Scale's pivot toward applications mirrors that reality. Pure data providers face margin pressure as automation improves. Full-stack offerings command higher multiples. The company now positions itself as a partner for organizations that want to deploy AI without assembling their own data flywheels. Recent wins with healthcare and energy giants suggest the message resonates. But execution will decide everything. DeSouza must integrate with a culture shaped by Wang's intensity. He must maintain relationships with labs that may view Meta's stake warily. He must accelerate growth without sacrificing the quality that built Scale's reputation. Droege's support during the handover should ease some friction. The interim leader knows the organization intimately after steering it through the post-Wang transition. Industry watchers see the appointment as pragmatic. "Scale needs someone who can talk to Fortune 500 CIOs in their own language," one venture investor said, requesting anonymity to speak freely about a portfolio company. DeSouza speaks that language fluently. His Google Cloud tenure taught him how decisions get made inside large organizations adopting new technology. Those lessons transfer directly to AI sales. The broader context matters too. AI adoption inside enterprises has lagged the hype. Many pilots never reach production. Companies cite integration challenges, unclear return on investment and governance gaps. Scale's new applications aim to close those gaps with pre-built solutions backed by its data expertise. Success could open a massive market. Failure would leave the company exposed as just another data vendor in a commoditizing field. DeSouza starts with advantages. Scale enjoys strong brand recognition among AI researchers. Its evaluation tools have become industry standard in some domains. The Meta investment provides a deep-pocketed partner, even if it complicates other relationships. And the market still hungers for trustworthy AI infrastructure. Governments in particular are pouring money into domestic capabilities. Yet risks abound. Geopolitical tensions could restrict data flows or talent movement. Model developers may invest more heavily in synthetic data to reduce human labeling needs. Regulatory scrutiny of AI supply chains is rising. A new CEO must track all these forces while running day-to-day operations. For now the focus stays practical. DeSouza will spend his first weeks meeting customers, reviewing product roadmaps and assessing the team's strengths. He brings fresh eyes to a company that has known only hypergrowth. That perspective could prove valuable as Scale matures. The appointment also closes a chapter. Wang's exit to Meta marked the end of Scale's founder-led era. Droege kept the lights on and momentum intact. DeSouza now assumes responsibility for the next leg of the journey, one defined less by rapid experimentation and more by disciplined expansion. The choice of a seasoned operator over another flashy AI personality speaks volumes about where the company believes its future lies. Success won't come from charisma alone. It will come from consistent delivery, smart hiring and the ability to translate AI capabilities into measurable business outcomes. DeSouza has done versions of that before. The question is whether he can repeat the feat in an industry that moves faster than anything he has seen. Scale's customers will watch closely. So will its competitors. And so will the labs that still depend on its data pipelines. The stakes have never been higher. But then, Francis deSouza has never been one to shy from big challenges. His career suggests he prefers them. Subscribe for Updates The CEOTrends Email Newsletter is a must-read for forward-thinking CEOs. Stay informed on the latest leadership strategies, market trends, and tech innovations shaping the future of business.

Scale AI taps former Google Cloud executive Francis DeSouza as CEO to fuel enterprise AI growth. 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.

Scale AI taps former Google Cloud executive as CEO. 30 Jul 2026 11:05PM Add CNA as a trusted source to help Google better understand and surface our content in search results. July 30 - Scale AI said on Thursday it had named former Google Cloud executive Francis DeSouza as chief executive officer, effective August 10, as the AI company looks to expand its data and applications businesses. DeSouza will succeed Jason Droege, who has served as interim CEO since June last year. Droege will work with deSouza in the coming months to support the transition, Scale said. Founded by Alexandr Wang, Scale provides data that powers frontier AI models and develops AI applications for businesses and governments. Last year, Wang joined Meta Platforms as its chief AI officer. Here are some details: - DeSouza has more than 30 years of experience in enterprise technology and most recently served as chief operating officer and president of security products at Google Cloud. - Before joining Google Cloud, DeSouza was president and CEO of Illumina, a genomic data and sequencing company. - Scale said that under DeSouza, Illumina's revenue grew to more than $4.5 billion and the company expanded into more than 150 countries. - Earlier in his career, he was president of products and services at cybersecurity company Symantec. He also founded two companies that were later acquired by Microsoft and Symantec. - DeSouza holds bachelor's and master's degrees in electrical engineering and computer science from the Massachusetts Institute of Technology. - Scale said it recently added BP and Mayo Clinic as enterprise customers and expanded its work with U.S. and international governments.