We are looking for a data-driven Product Manager (23 years experience) to lead and scale our Referral, Rewards, and Loyalty strategy. In this role, you will own the end-to-end user growth loopdesigning compelling referral mechanics, optimizing conversion funnels, and managing reward economics to drive organic user acquisition and retention at low CAC.

Key Responsibilities :

- Referral Loop Ownership : Design, launch, and optimize high-converting "Refer & Earn" campaigns and viral mechanics across web/app touchpoints.

- Reward Mechanics & Gamification : Define incentive structures (cashbacks, points, discounts, tiered rewards) that motivate sharing while protecting unit economics.

- Funnel Optimization : Run continuous A/B tests on landing pages, invite channels (WhatsApp, SMS, link sharing), and onboarding UX to reduce drop-offs.

- Fraud Prevention & Security : Partner with engineering/risk teams to implement fraud detection rules preventing referral abuse and fake accounts.

- Data & Analytics : Track viral loops, user behavior, and payout efficiency to refine campaign performance continuously.

Requirements & Qualifications :

- Experience : 2 to 3 years of hands-on Product Management experience, specifically managing rewards, referral loops, gamification, or loyalty programs in B2C/B2B FinTech, e-commerce, or consumer tech.

- Analytical Mindset : Strong expertise in A/B testing, cohort analysis, and funnel optimization tools (Amplitude, Mixpanel, CleverTap, etc.).

- UX & Behavioural Focus : Deep understanding of user psychology, nudge design, and frictionless sharing flows.

- Technical Understanding : Familiarity with APIs, deep linking, event tracking, and rule engine integrations.

Key Success Metrics (KPIs) :

- K-Factor / Viral Coefficient : Number of new active users brought in per existing user.

- Referral Conversion Rate : % of sent invites that result in successful signups/first transactions.

- CAC Reduction : Lowering overall customer acquisition costs through organic referral channels.

- LTV & Retention : 30/60/90-day retention rates of referred vs. non-referred users.