About this role
About MAS
MAS's mission is to accelerate the build and deployment of an AI workforce for every business — from kirana to conglomerate. Our vision is to deliver a billion-plus workflows through our agents in ways that drive real client outcomes, not automation for its own sake.
We go deep rather than wide. Today that means known, process-defined, repeatable service workflows — inbound contact-centre work (calls, chats, tickets), plus the outbound work that behaves like a cost workflow rather than a conversion one (lead qualification and verification, not lead conversion) — anywhere we can benchmark against a cost line the client already feels, guarantee savings, and hold the quality bar. We're deliberately building a technology company, not an AI BPO: models are a commodity, so our moat is the workflow knowledge, integrations, and client relationships that only come from actually running the work — not a generic AI layer bolted onto a call centre.
We've proven this model works — with marquee clients across consumer durables, auto, and D2C/marketplace businesses — and we're still early. We'll keep evolving it as we go, staying client-first rather than assuming we already have the answer. This is a 0–1 business inside Meesho: no fixed playbook, high ownership, and the ground floor of how India's enterprises adopt AI-led operations.
About the Role
This role is for a sales leader who thrives in ambiguity, is genuinely excited about selling AI-led offerings, and can operate at the intersection of AI, services, and enterprise problem-solving. You'll own the NCR region end-to-end — not just the last mile.
This is not a role where you wait for a handed-off, qualified deal. Our internal team owns top-of-funnel prospecting, but you're expected to get your hands dirty across the first and middle mile too — opening doors yourself when a target account needs it, staying close to discovery and org-mapping on your region's marquee deals, and not just parachuting in for the close. You're the face of MAS in North India: building trust with CXOs and BU heads, running the room in high-stakes conversations, owning the commercial close, and building the regional team and playbook as you go.
A lot of enterprise AI-services deals across this market stall before signature for the same reason: sellers never get deep enough into an account to know what the client is actually buying, or who really decides. Closing that gap — real discovery, real stakeholder mapping, real champions inside the account — is as much a part of this role as the close itself.