Product Manager On-Device & Edge AI

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

About the Role

Sarvam is our on-device AI product line — purpose-built for enterprise deployments where data sovereignty, low latency, and offline reliability are non-negotiable. We're looking for a Product Manager who understands enterprise AI deeply: the IT admin personas, the procurement cycles, the compliance requirements, and the day-to-day friction that determines whether an AI tool gets embedded into workflows or quietly abandoned.

You'll own the product roadmap for drive B2B GTM alignment, and run iterative experiments to build stickiness in enterprise workflows. 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. You will be embedded with silicon partners like Qualcomm, Intel, HP, Apple, NVIDIA etc turning research breakthroughs into production-grade optimisations that serve 1.5b indians at http://1.at min latency. You will architect the Product motion from tuning to agentic orchestration and client deployment, this is not a feature team, it is a platform-defining role. If you want to build the infrastructure layer that makes AI truly accessible across every laptop, phone, glasses and car in India, please apply!

What You'll Do

• 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

• Design and ship features for multi-tenant SaaS architecture, including tenant isolation, access controls, and admin tooling

• Define requirements for HITL (human-in-the-loop) and agentic workflows, ensuring enterprise-grade reliability and auditability

• Work across security and compliance requirements — data residency, enterprise auth (SSO, SAML, SCIM), and regulatory standards relevant to enterprise AI

• Collaborate with engineering on API design and integration patterns for enterprise tool