Swiggy

HQ
Bengaluru
Total Offices: 15
5,000 Total Employees
Year Founded: 2014

Swiggy Benefits Overview

Compensation + Benefits

Offers childcare benefits

Offers generous parental leave

Offers life insurance

Provides a pension

Offers performance bonuses

Provides a company car

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides bereavement leave

Provides paid sick days

Offers an Employee Assistance Program (EAP)

Offers gym membership

Recently posted jobs

YesterdaySaved
In-Office
Hyderabad, Telangana, IND
eCommerce • Food • Logistics • On-Demand
Owns acquisition, engagement, and growth of independent restaurant partners across Hyderabad. Responsibilities include territory management, frequent in-person visits, product demonstrations, ROI analysis, consultative selling, negotiations, partner activation, ongoing support, pipeline management, revenue targets, adoption tracking, troubleshooting, market research, and reporting using advanced Excel or Google Sheets.
YesterdaySaved
In-Office
Lucknow, Uttar Pradesh, IND
eCommerce • Food • Logistics • On-Demand
Lead a city-level food delivery business across sales, supply, and operations. Drive revenue, market share, partner acquisition, account initiatives, customer experience, delivery safety, process improvement, and P&L performance. Manage city hiring, training, targets, incentives, and career planning while aligning central stakeholders and resolving execution roadblocks. Develop strategic regional sales and marketing plans, anticipate market trends, and maintain strong relationships with restaurant and community partners.
YesterdaySaved
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
eCommerce • Food • Logistics • On-Demand
Lead the technical roadmap and architecture for AI systems across search, recommendations, advertising, discounting, and fraud. Design scalable, low-latency ML pipelines, evaluate advanced techniques including GenAI, reinforcement learning, causal modeling, and graph models, and ensure production monitoring and experimentation. Partner with Product, Engineering, and Business to connect AI investments to business outcomes. Mentor senior data scientists and ML engineers, establish technical standards, and advise leadership on platform strategy and model adoption.