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SwiggyVerified

Principal Product Manager

Salary
₹23–40 LPA
Location
Bangalore, India
Experience
Senior · 7+ years
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About the company & role

Job Profile: Principal Product Manager – Swiggy Dineout Location: Bangalore | Karnataka Experience: 7 - 10 years About the Team & Role Swiggy Dineout is envisioned as the go-to dining out platform connecting millions of consumers with top restaurants, nightlife spots, and curated culinary experiences. As the Principal Product Manager for Swiggy Dineout, you will own the core consumer-facing surface areas - driving end-to-end user discovery, engagement, and conversion across the Homepage, Search & Discovery and booking/payment flows. This is a high-impact leadership role that demands sharp B2C product thinking, deep e-commerce/food-tech discovery intuition, and a passion for creating seamless, hyper-personalized offline-to-online dining experiences at scale. What will you get to do here? Define Core B2C Vision & Strategy: Own and drive the long-term product roadmap for Swiggy Dineout’s primary B2C surfaces, including Homepage discovery, Search, Navigation, Filter/Sort frameworks. Master Discovery & Conversion: Optimize consumer journeys from intent generation on the Homepage to restaurant selection, menu exploration, deal/offer discovery, table reservations, and seamless bill payments. End-to-End Product Lifecycle: Lead initiatives from deep user research, user journey mapping, and ideation through UX design, technical execution, A/B testing, and post-launch optimization. Personalization & Relevance Engine: Partner closely with Data Science and Machine Learning teams to build intelligent recommendation engines, personalized feeds, and location-aware search results to maximize conversion and user retention. Cross-Functional Collaboration: Work hand-in-hand with Engineering, UX/UI Designers, Data Analytics, Brand & Growth Marketing, and On-ground Restaurant Operations teams to build scalable, highly engaging user experiences. Data-Driven Experimentation: Design and execute robust experimentation (A/B testing) frameworks to continually lift metrics across organic discov