You'll work closely with engineering, sales, and customer success to define what enterprise-grade AI looks like when it runs on-device, at the edge, and inside a customer's own security perimeter. You will co-own as a Full Stack product builder the most ambitious on-device AI problem in India building sovereign models that run at the silicon level across devices.
Own the product roadmap for Sarvam, from on-device inference to enterprise deployment and fleet management.
Define and prioritise features for IT admin personas — MDM integration, device provisioning, policy enforcement, and enterprise authentication (including Microsoft ecosystem).
Drive B2B GTM alignment by working with sales and customer success to translate customer pain points into product requirements.
Run iterative experiments in enterprise deployments to identify and improve workflow stickiness and adoption.
Demonstrable experience with on-device or edge AI products, or IT fleet management and enterprise device management.
Strong understanding of enterprise authentication and identity — Microsoft ecosystem (Entra ID, Intune, Azure AD), SSO, SAML, or SCIM.
Experience running structured product experiments and using data to drive roadmap decisions in enterprise contexts.
Ability to work directly with IT admin and enterprise buyer personas — understanding their workflows, constraints, and decision criteria.
Experience: Mid-level · 4–8 years · Job type: Full-time
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