Engineering Manager

The Engineering Manager – Recommerce/Sellback owns the end-to-end technology charter for Flipkart’s recommerce platform, which enables product exchange and buy-back of used devices , and manages the complete supply-chain lifecycle from customer pickup to refurbishment, resale, or liquidation. Recommerce is a material contributor to Flipkart’s bottom line , driving margin expansion, affordability, sustainability, and customer retention.

This role is responsible for building and scaling highly reliable, fraud-resilient, and cost-efficient platforms that operate at large volumes across categories, sellers, logistics partners, and refurb ecosystems.

Key Responsibilities

1. Platform & Business Ownership

• Own the Recommerce & Sellback technology charter end-to-end, covering exchange journeys, device acquisition, grading, pricing, logistics, refurbishment, resale, and settlement.
• Partner closely with Business, Supply Chain, Category, Finance, Risk, and Ops teams to translate P&L goals into scalable platform capabilities.
• Drive margin improvement and cost optimization through technology-led levers such as better pricing intelligence, reduced leakage, faster turnarounds, and automation.

2. Engineering Leadership & Delivery

• Lead multiple high-performing engineering teams responsible for consumer journeys, partner integrations, backend platforms, and analytics systems .
• Set a strong bar for architecture, reliability, scalability, and security , given the financial and fraud-sensitive nature of recommerce flows.
• Ensure predictable execution for peak events (BBD, seasonal spikes) with zero disruption to exchange and sellback experiences.

3. Supply Chain & Ecosystem Enablement

• Build platforms that orchestrate complex multi-leg supply chains involving customers, logistics partners, warehouses, refurb units, and secondary markets.
• Enable real-time tracking, grading accuracy, dispute handling, and SLA enforcement across the lifecycle.
• Drive automation across reconciliation, payouts, and exception handling to reduce operational overhead.

4. Risk, Fraud & Trust Systems

• Own systems that detect and prevent device fraud, mis-grading, swaps, and abuse while maintaining a low-friction customer experience.
• Implement rule engines, data signals, and ML-assisted decisioning to balance growth, cost, and risk .
• Partner with central risk and trust teams to continuously improve safeguards.

5. Data-Driven Decision Making

• Build strong analytics and intelligence platforms for pricing, recovery rates, TAT, leakage, and margin tracking.
• Enable leadership with real-time visibility into recommerce health and unit economics.
• Use experimentation and insights to drive continuous improvement.

6. People & Org Leadership

• Hire, mentor, and grow strong engineering leaders and ICs; build succession and depth for a business-critical charter.
• Foster a culture of ownership, accountability, and product thinking .
• Champion cross-org collaboration and technical excellence.