Area Manager-Retail

About The Company

(www.rentomojo.com)

Rentomojo is a market leader and tech-enabled company in the rental subscription of furniture and consumer appliances. The company provides affordable and flexible rental subscriptions to cater to mobility needs of Gen Z and Millennials.

RentoMojo, was founded by Geetansh Bamania, an IITM who worked out of almost every major city in India in his first five years of corporate career. Frustrated with the hassles of relocating from one place to the other, and tired of finding that perfect cluster of home essentials that suited their lifestyle.

With 1,800+ people operations, the company has a presence in 22 cities across India. The company is in a strong growth trajectory with revenue compounding at a CAGR of 50% during the last 3 years and is an exception in the startup ecosystem to be highly profitable along with delivering strong growth. The company has been consistently profitable since Oct 2021 and compounded PAT at a CAGR of 150% in the past two years.

Rentomojo is a key beneficiary of India's rapid urbanisation story, job growth and workforce mobility. 1mn new members join the workforce every month and 1.2mn-1.5mn employees switch jobs every month. Rentomojo offers attractive bundled rental subscriptions with zero cost of relocation and zero repair and maintenance cost at affordable cost that provides utility of EMI but not its rigidity.

Job Title: Area Manager

Location:Mumbai

Job Type: Full-Time

Department: Retail

Job Summary

Area Manager – Role Summary

We are looking for a high-impact Area Manager to drive store performance, lead conversion, and team productivity across multiple retail stores. The role blends strong sales leadership with data-driven decision-making and AI-enabled execution, including call quality optimization and agentic AI systems.

Scope

• Manages an Area of Stores in a region
• Leads 40-60 Sales Reps & Team Supervisors
• For Areas under 5 stores, directly leads Sales Reps
• Leverages Agentic AI systems to augment decision-making, monitoring, and execution at scale
  
  

Core Objectives

• Drive and optimize demand funnel: Lead Gen → Footfall → Qualified Lead → Order → Pre-Delivery Relationship Excellence
• Improve AOV, Basket Size
• Ensure SOP & Retail Playbook adherence
• Maximize per store & per rep productivity
• Execute pilot projects & local activations aggressively
• Partner with HRBP for hiring, staffing, scouting, referrals and retention, Coach and mentor teams within the region continually.
• Continuously optimize calling funnel using AI-driven call quality insights and behavioral signals
  
  

Key Responsibilities

Business & Revenue Ownership

• Own end-to-end funnel: Lead → Footfall → Qualified Lead → Order
• Drive AOV, basket size, and reduce cancellations
• Improve store-level and rep-level conversion rates
  
  

Team Leadership

• Manage, coach, and scale a team of 30–40 reps
• Build promotion pipelines & performance culture
• Manage hiring, churn, and staffing with HRBP
  
  

AI-Led Execution

Leverage AI Tools For

• Call quality analysis & conversion improvement
• Lead prioritization & routing
• Performance monitoring & anomaly detection
  
  

Act On AI-generated Insights For

• Funnel leakages
• Rep coaching opportunities
• Customer behavior trends
  
  

Calling Funnel Optimization

• Analyze call recordings & AI-generated scores
• Improve:
  
  

Opening pitchNeed discoveryObjection handlingClosing & CTA

Identify high-conversion call patterns & replicate them across teams

Operations & Execution

• Monthly business reviews (store-level deep dives)
• Ensure SOP & Retail Playbook adherence
• Execute pilots, activations & local experiments
• Manage budgets & ROI tracking
  
  

Qualifications

• 3–5 years in retail sales / inside sales / multi-store operations and LFR
• Experience managing large frontline teams
• Strong understanding of sales funnels & conversions
  
  

Data-driven decision making

• Strong coaching & feedback skills
• High ownership & execution bias
• Comfort working with dashboards, SQL/BI tools (good to have)
  
  

AI & Future-Ready Skills (Preferred)

• Experience using AI tools for sales or operations
• Understanding of call analytics / CRM systems
• Ability to translate insights into action
  
  

Skills: call quality analysis,retail,team leadership,ai,revenue ownership