Bengaluru: MongoDB is strengthening its India presence as both a growth market and an engineering hub, with more than 700 employees across Bengaluru, Mumbai and Gurugram and plans to skill two million people by 2030 to meet rising demand for AI-ready talent.“We have more than 700 employees across Bengaluru, Mumbai and Gurugram, spanning go-to-market teams, corporate functions and engineering,” said Aamir Sait, vice-president, India, MongoDB. “Beyond being a large market, India is also a significant hub for innovation and talent, and our engineering teams here are contributing to mission-critical parts of the MongoDB platform.”The India engineering team develops several core components of the platform, including the management plane for MongoDB Enterprise Advanced, key parts of its application modernisation platform, and upcoming product features.The company, which increasingly positions itself as a unified AI data platform rather than just a database provider, said it serves 50 of India’s top 100 listed companies by market capitalisation and more than 50 unicorns.“We’ve been in India for more than a decade,” Sait said. “Today we serve 50 of the top 100 companies in India by market capitalisation. In the AI-native ecosystem, more than 50 unicorns in India are building on MongoDB.”MongoDB also plans to train two million people by 2030, alongside skilling 5,000 educators and partnering with about 1,500 colleges and universities.“It’s about creating job-ready talent,” said Raghu Viswanathan, vice-president, education, academia and documentation at MongoDB. “We’re teaching databases and AI capabilities, providing hands-on exercises, badges that learners can showcase on LinkedIn and opportunities for formal certification.”The company said India is emerging as a key market as enterprises move from AI experimentation to production deployments.Globally, MongoDB believes AI is reshaping enterprise data infrastructure. While best known as a database company, Viswanathan said it now sees itself as a unified AI data platform, with the data layer becoming the foundation for AI applications and autonomous agents.“In the world of AI and agents, one of the most valuable assets organisations have is their data and how it is architected,” he said. “The real advantage comes when companies can use AI effectively to expose their data in a way that’s optimised for users.”Citing an IDC study, MongoDB said more than 46% of organisations believe their existing technology architecture makes it harder to build new applications and limits AI innovation.“As companies move into the agentic era, they’re recognising that the data layer becomes foundational,” Sait said. “Organisations need to think differently about performance, latency and memory.”MongoDB argues that AI will increase, rather than diminish, demand for modern databases capable of handling unstructured data, real-time workloads and vector search.“We’re seeing much higher demand for MongoDB and AI has accelerated that demand,” Viswanathan said. “The underlying supply chain for AI is data, and we see that data layer becoming even more important.”The company also believes AI agents will fundamentally reshape application design.“Applications now need to be designed for both humans and agents,” Sait said. “These autonomous agents require access to operational truth, context and memory, all delivered with very low latency. That’s exactly where our technology is naturally suited.”Despite growing competition from hyperscale cloud providers bundling databases with AI services, MongoDB said its ability to run across multiple cloud environments, on-premise infrastructure and hybrid deployments, along with its developer ecosystem and AI-native capabilities, continues to differentiate its platform.
