Sarvam is pioneering India's sovereign AI platform, building foundational models, infrastructure, and applications designed specifically for the nation's needs. We collaborate with leading enterprises and public institutions, backed by prominent investors. Our on-device AI product line focuses on enterprise deployments where data sovereignty, low latency, and offline functionality are paramount.

This role offers a unique opportunity to shape the future of enterprise AI on-device and at the edge. You will be instrumental in making AI truly accessible across a wide range of devices in India.

Join Sarvam to work on India-specific AI challenges with significant population-scale impact, collaborating with a high-caliber team focused on innovation and excellence.

As a Product Manager for our on-device AI, you will own the complete product roadmap, from on-device inference to enterprise deployment and fleet management. Key responsibilities include defining and prioritizing features for IT administrators, such as MDM integration and enhanced security protocols.

You will drive Business-to-Business Go-to-Market alignment by translating customer pain points into actionable product requirements, working closely with sales and customer success teams. The role involves running iterative experiments to enhance workflow stickiness and adoption within enterprise environments.

Additional duties include designing and implementing features for multi-tenant SaaS architectures, defining requirements for human-in-the-loop and agentic workflows, and ensuring robust security and compliance. Collaboration with engineering on API design and defining product metrics to measure enterprise engagement are also core aspects of this position.

We are seeking a Product Manager with 4–8 years of experience, preferably in enterprise SaaS or B2B AI products. A strong understanding of on-device or edge AI, alongside IT fleet management and enterprise device management, is essential.

Demonstrable experience with enterprise authentication and identity management, including familiarity with the Microsoft ecosystem (Entra ID, Intune, Azure AD), SSO, SAML, or SCIM is required. The ideal candidate will have a proven track record of running structured product experiments and leveraging data to inform roadmap decisions.

Comfort with technical intricacies such as APIs, security, compliance, and multi-tenant SaaS architecture is a must. A background in Computer Science or Electrical Engineering is preferred. Experience with HITL workflows, agentic AI, data residency, or sovereign cloud deployments are considered significant advantages.