About DyVa AI DyVa AI is a revenue management and agile 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. What you will own in the first 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 month 6.
• 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. Nothing critical lives only in your head.
• 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 prioritisation.
• 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. What we are looking for Must have:




• 5+ years of 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. This is the first criteria, not a preference. 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 recent or still-developing product
- a prototype, a first paid tool, something that was being built while you sold it
• You have sold 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

📌 Enterprise Sales Manager (Mumbai)
🏢 Dyva AI
📍 Mumbai