Enterprise Sales Manager

About DyVa AI
DyVa AI is a revenue management and dynamic pricing platform for residential real estate developers. Our models price individual units by how desirable they actually are - floor, facing, Vastu, corner, view, velocity of comparable inventory - instead of one flat rate per sq ft with a floor rise on top.
Job Ownership for the initial 12 months
Access. Reach the people who actually set price at MMR developers - promoters, CRM heads, pricing committee members - and get in front of them. Target: 20 first meetings in 90 days, at least 12 of them with a real pricing decision-maker
Pilots into revenue. 3 shadow pilots signed in the first 90 days, 2 of them converted to paid contracts by 180 days
A motion someone else can run. A documented decision map and sign-off thresholds across 30 developers, and a pitch and pilot script a second seller can pick up
Market truth back into the product. A weekly written feed of what clients actually said, tied to specific won, lost and stalled deals. You bring the evidence; the product team does the prioritization
Referrals and scale. Turn closed accounts into a live referral channel, and hire and ramp the first AE under you once the model is proven.
Must have's:
5+ years of relevant personal enterprise selling – years leading deal closure and revenue, not just several years in a sales department
An active network among MMR real estate developers. You should be able to name developers you can message today and get an answer from tomorrow, and know who sets the price there
Experience selling into owner-led and family businesses where the promoter signs personally, and comfort navigating committee-led structures too
Experience selling a new or still-developing product - a prototype, a first paid tool, something that was being built while you sold it
Experience in sales without inbound, without case studies, without brand and without a client base handed to you
An honest pipeline. You call a deal dead when it is dead, and you keep it in a CRM, not in your head
Long cycles: 4 to 6 months, multiple stakeholders
Based in Mumbai. English plus Marathi or Hindi
Strongly preferred experience:
Real estate, proptech, or a data or SaaS product sold into real estate
Comfortable with pricing, inventory and absorption data - you can read a price list and build the client case yourself
Forecasting: not just opening the funnel, but closing the loop between forecast and delivered revenue

Work arrangement
No