Meta Platforms has taken its most direct step yet into the business of selling artificial intelligence to companies, hiring the chief executive of database firm MongoDB to run a new enterprise unit and leaving one of the software sector’s better-known names scrambling for a replacement.
The company said on Monday that Chirantan “CJ” Desai will become its Chief Enterprise Platform Officer, reporting directly to chief executive Mark Zuckerberg. He will lead a new division called Meta Enterprise Platform.
What Meta plans to sell
The unit’s remit is to package Meta’s AI technology for corporate customers. That covers advanced models, AI agents and the large-scale computing infrastructure the company has built, along with the software, security and developer tools that businesses need to deploy them.
Zuckerberg said in a company statement that Meta is well placed for the task because of its combination of models, agents, infrastructure and long experience working with businesses. The last point is one that industry watchers have questioned. Meta earns the great majority of its revenue from advertising and has never run a large enterprise sales organisation, which is precisely what Desai is being hired to build.
The timing follows the success of Muse, Meta’s AI assistant, which has risen to the top of app store rankings and, according to CNBC, overtaken ChatGPT as the leading free iPhone app. Meta’s push into enterprise customers is a bid to turn that consumer momentum and its heavy infrastructure spending into a second revenue stream.
MongoDB takes the hit
The reaction in markets was swift and lopsided. MongoDB’s shares fell steeply on Monday. Reports put the decline at between roughly 15% and 26% at different points in the session, and one widely cited account had the stock down about 18% at the close. Meta’s own shares slipped by around 4%.
MongoDB’s board named Dev Ittycheria, who led the company from 2014 until stepping down last November, as interim president and chief executive, and said it had begun searching for a permanent successor. Tom Killalea, the board’s chairman, said the business is strong and that Ittycheria was the right person to lead it in the interim.
The departure came after less than a year in the job for Desai, who was appointed in November 2025 having previously served as chief operating officer at ServiceNow. It also arrived shortly before the company’s scheduled investor day, according to reports, which will now be presented under interim leadership. Analysts described the situation as a textbook case of key-person risk, in which investors mark down a company sharply when a leader seen as central to its strategy departs.
A wider hunt for enterprise operators
The hire fits a pattern. AI developers and large technology platforms increasingly want executives who have run enterprise software businesses and know how to sell to corporate buyers, rather than relying on research-led leadership alone. In 2025, Meta paid $14.3 billion for a 49% stake in Scale AI and brought in its chief executive, Alexandr Wang, whose team now builds the Muse models, Fortune reported.
Other rivals are moving in the same direction. Only a day later, OpenAI used its developer conference to launch always-on AI agents for paying customers, and it said it is working with Microsoft to manage specialised business agents through Microsoft’s Agent 365 platform. Competition for the corporate AI budget is intensifying from every side.
Investors weigh the costs
Meta’s enterprise ambitions arrive under close scrutiny of its spending. One report noted that a 91% slide in the company’s free cash flow keeps its AI investment in the spotlight. In October 2025, Meta’s shares fell more than 11% in after-hours trading when it warned that 2026 expenses would rise significantly because of infrastructure investment and pay for new AI hires.
Zuckerberg has argued that the spending will support Meta’s advertising business while also creating new profit engines. An enterprise unit is an attempt to prove the second half of that claim. Software stocks were also under pressure this week, with market commentary linking the weakness partly to fears that Meta’s push could disrupt established vendors.
What to watch
Several questions will decide whether the gamble pays off. Meta must show that businesses trust it with sensitive data, a challenge for a company whose reputation has been shaped by consumer privacy debates. It must also build sales, support and compliance capabilities that its rivals have spent years developing.
For MongoDB, the immediate task is reassuring customers and investors while it searches for a permanent chief executive. For the wider industry, the message is that the contest for enterprise AI is now being fought as much over talent as over technology.
