Sciative Solutions - Business Manager - Retail & Quick Commerce

Department Icon Business Development / Sales
Posted: 1 week ago
4-8 years
Navi Mumbai,Mumbai
Business Development / Sales
work from office
Full Time
Closes 7 Dec 2026

Posted: 1 week ago
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Job Description

In the hyper-competitive world of Retail and Q-Commerce, you are the architect of "Margin and Growth Protection." You will demonstrate to CBO's and Category Leads how our real-time pricing engine outpaces the competition while maintaining a lower TCO than building in-house or using generic ERP modules.

Key Responsibilities :

  • High-Impact Pitching : Position our solution as the "Brain" of the retail operation, reacting to competitor price drops and stock levels, or changes in customer shopping behaviour in milliseconds.
  • Value Mapping : Understand complex retail ecosystems (omnichannel, dark stores, marketplaces) and tailor the demo to demonstrate the value delivered by our solution in the specific area of client interest, solve their specific "Margin Leakage."
  • Economic Defense : Conduct "Value vs. Cost" workshops. Prove that the 20% gain in bottom-line growth creates a "Negative Net Cost"-where the software effectively pays for itself within the first quarter.
  • BDR Mentorship : Drive the outreach strategy, ensuring the Inside Sales team is targeting the right "Economic Buyers" (CFO/COO).
  • Technical Liaison : Collaborate with Product to handle high-frequency data ingestions and ensure the UI meets the needs of fast-moving Category Managers.

Ideal Profile :

  • Expertise : Prior experience in Retail-Tech or Supply Chain SaaS.
  • The "Finance" Lens : Ability to argue on hidden costs and demonstrate the TCO savings and improved revenues
  • Goal Orientation : Responsible for achieving the Quarterly/Annual Recurring Revenue (ARR) targets.

Skills

SalesRetail SalesKey Account ManagementSales StrategySalesSales Team

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About Company

Sciative is an AI-powered pricing and revenue management company that helps businesses discover the right price using advanced machine learning, big data, and deep learning algorithms.

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