Who Is Chirantan ‘CJ’ Desai? Meet the Executive Mark Zuckerberg Picked to Lead Meta’s Enterprise AI Push

Meta is creating a new business focused on bringing its artificial intelligence technology to companies and developers, and Mark Zuckerberg has chosen technology executive Chirantan “CJ” Desai to lead the effort.

Desai is joining Meta as Chief Enterprise Platform Officer and will report directly to Zuckerberg. His new role puts him at the centre of Meta’s plans to turn its AI models, agents and infrastructure into products designed for businesses.

Zuckerberg described the new Meta Enterprise Platform as a potential “next major pillar” of the company’s business.

Who Is Chirantan “CJ” Desai?

Desai is a veteran technology executive whose career has included leadership roles across enterprise software, cloud infrastructure, cybersecurity and AI.

Before joining Meta, he was President and CEO of MongoDB, a position he took in November 2025.

His time at MongoDB followed a shorter stint at Cloudflare, where he served as President of Product and Engineering from October 2024 to November 2025.

Desai previously spent almost eight years at ServiceNow, joining the company in December 2016. During his tenure, he held several senior positions, including Chief Product Officer, Chief Product and Engineering Officer, Chief Operating Officer and President and COO.

His experience at ServiceNow included platform development, product launches and AI-related initiatives.

Desai’s Career Before ServiceNow

Desai’s technology career stretches back several decades and includes senior positions at some of the industry’s major software companies.

Before ServiceNow, he spent roughly three years at EMC, where he served in roles including President of its Emerging Technologies Division.

Earlier, Desai spent about nine years at Symantec. His responsibilities there included serving as Executive Vice President of Information Management and Senior Vice President and General Manager of the company’s Endpoint and Mobility Group.

He began his professional career in product development and engineering roles at Pivotal Corporation and Oracle.

The progression has taken Desai through several major areas of enterprise technology, including software development, cybersecurity, cloud infrastructure, business applications and artificial intelligence.

Desai’s Education

Desai studied at the University of Illinois Urbana-Champaign, where he earned both a master’s degree in computer science and an MBA.

The combination of technical and business education has been a recurring feature of his career, which has involved both product engineering and senior operational leadership.

What Will Desai Do at Meta?

At Meta, Desai will lead the newly established enterprise unit responsible for bringing the company’s AI capabilities to businesses and developers.

According to Zuckerberg, Meta Enterprise Platform will combine several of Meta’s existing strengths, including AI models, agents, computing infrastructure and its experience working with businesses.

The initial portfolio is expected to include products and services such as Muse Agent, Meta Business Agent, Muse API and Muse Code.

The broader objective is to make Meta’s AI technology usable in enterprise environments rather than limiting its applications to consumer-facing products.

Why Meta Is Building an Enterprise AI Business

Enterprise AI has become a major area of competition among technology companies as businesses look to use AI for software development, customer interaction, automation and decision-making.

Meta already operates large-scale AI infrastructure and develops its own AI models. Its advertising business also gives the company extensive experience working with businesses.

The new enterprise platform is intended to bring those capabilities together into products that companies and developers can use directly.

Zuckerberg said the initiative would build on Meta’s AI models, agents, infrastructure and relationships with businesses.

Desai’s Vision for Enterprise AI

In a LinkedIn post announcing his move, Desai said his role would involve translating Meta’s AI capabilities into products for businesses and developers.

He argued that the next phase of AI adoption could change how companies operate, rather than simply adding AI tools to existing processes.

According to Desai, businesses could redesign workflows involving product development, customer engagement, decision-making and day-to-day operations.

He described the transition as a shift in how companies innovate, sell and serve customers.

Desai Says Meta Has a Distinct AI Advantage

Desai also highlighted Meta’s combination of AI models, infrastructure and agents as a potential advantage in the enterprise market.

He pointed to Meta’s existing business ecosystem, including its relationships with millions of advertisers and hundreds of millions of businesses, as another asset.

His argument is that combining these capabilities could allow Meta to create an enterprise platform rather than offering AI as a collection of standalone tools.

Zuckerberg similarly pointed to Desai’s experience across AI, infrastructure, business applications and security as reasons for bringing him into the new role.

From Enterprise Software to Meta AI

Desai’s appointment marks another step in his career across major technology platforms.

His experience spans cybersecurity at Symantec, emerging technologies at EMC, enterprise applications and AI at ServiceNow, cloud and product leadership at Cloudflare, and executive leadership at MongoDB.

At Meta, that background will now be applied to a different challenge: turning the company’s large-scale AI capabilities into an enterprise business.

The newly created Meta Enterprise Platform will therefore be closely tied to Meta’s broader AI strategy, with Desai reporting directly to Zuckerberg as the company seeks to expand its AI business beyond consumer applications.