Enterprise Sales Manager

Dyva AI · India

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.

What you will own in the first 12 months

1. 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.
2. Pilots into revenue. 3 shadow pilots signed in the first 90 days, 2 of them converted to paid contracts by month 6.
3. 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.
4. 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.
5. 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 new 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