Cluster Growth Manager
Swiggy (company site, opens in a new tab)3–6 yrsMaduraiOn-siteDirect career pageEst. 8–14 LPA
Posted 16h ago
Reach people at Swiggy
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Swiggy you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Drive city-level business growth by analyzing local demand, planning interventions to improve order frequency and average order value, and strategizing area and category expansions.
- Manage and execute marketing campaigns including BTL/ATL activities, coordinating with multiple teams to increase new and repeat users and measure campaign impact.
- Lead stakeholder coordination across sales, operations, and central teams, manage team development, and drive new initiatives/projects like special partnerships and critical growth projects such as Long Distance and Swiggy Access.
Minimum Requirements
- 3-6 years of work experience, preferably in Retail/E-commerce.
- Strong academic background (Graduate/Post Graduate).
- Experience in process design and operations implementation, preferably in Logistics/Supply Chain management.
- Comfortable with data analytics and MS Excel for operations strategy; strong problem-solving and customer service skills.
Ideal Candidate Profile
- Experienced in managing business growth in hyperlocal or delivery-based ecosystems, with ability to analyze and act on area-wise growth levers.
- Capable of coordinating cross-functional teams and managing multiple marketing and operational projects simultaneously.
- Strong operational and strategic mindset with attention to detail and proficiency in data-driven decision making.