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Retail Merchandising Growth Lead

Lenskart Gurugram, Indien
Full-time On-site work

Publication date: 12/11/2026

Reinvent how Lenskart never runs out or runs over. This is a product transformation mandate to move Lenskart's replenishment function from reactive and rule-based to predictive, intelligent, and productized as a scalable AI platform. The role operates at the intersection of machine intelligence, product management, and retail operations across India and global markets.

Responsibilities

Own the product vision, roadmap, and lifecycle of Lenskart's replenishment intelligence platform; define and evolve product architecture for real-time inventory visibility, ML-driven demand forecasting, dynamic safety stock models, and system-generated replenishment decisions; translate retail and supply chain problems into product requirements, user stories, and technical specifications for Data Science and Engineering teams; act as product owner for all AI/ML capabilities within replenishment; own product KPIs such as forecast accuracy (MAPE/WAPE), fill rates, inventory turns, and system adoption; build AI-powered features for assortment optimization, demand sensing, and markdown and liquidation intelligence; transform Open-to-Buy into a real-time, system-led capability; drive product adoption across Merchandising, Supply Chain, Finance, and Retail Operations; act as the voice of the user; build, mentor, and elevate a team of planners and analysts

Requirements

5–8 years in product management, inventory planning, supply chain product roles, or merchandise planning; demonstrable experience building or owning AI/ML-driven products or decision systems; hands-on familiarity with demand forecasting methodologies (time-series models, statistical and machine learning approaches); understanding of replenishment algorithm design and translating it into scalable product features and system requirements; degree in AI/ML, Data Science, Operations Research, Engineering, or a highly quantitative field; strong understanding of retail operations, SKU-level planning, supply chain dynamics, and fashion cycles; AI-native thinking; builder's instinct; analytical rigor at speed; transformational leadership

Nice to have

Top-tier MBA
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