India's fashion e-commerce platform with data-driven personalization and omnichannel retail
Myntra operates a large-scale fashion e-commerce platform serving India with a tech stack built on Kafka, Spark, and GCP—infrastructure typical of high-volume inventory and recommendation systems. Active hiring spans product, engineering, and data roles with a senior-heavy seniority mix, paired with projects focused on selection optimization, inventory ranking, and data products. The pain-point list reveals operational pressure: forecast accuracy, inventory optimization, and modernizing their data platform suggest they're moving beyond basic e-commerce toward more predictive, personalized catalog management.
Notable leadership hires: Marketplace Director, Deputy Director, Associate Director, Deputy Director - Category Demand Management, Talent Acquisition Lead
Myntra is India's largest fashion and lifestyle e-commerce destination, operating a marketplace with over 13,000 brands. The platform serves multiple customer experience layers: discovery, personalization, omnichannel retail, and beauty. Operationally, the company runs a mid-to-large-scale fulfillment network with corresponding pressure on inventory optimization, selection scaling, and demand forecasting. The tech foundation spans data pipelines (Kafka, Spark, Databricks), analytics (Power BI, Tableau, QlikView), and cloud compute (GCP, Azure), supporting both transaction processing and emerging data product initiatives.
Myntra runs on Kafka, Apache Spark, Aerospike, Solr, Kubernetes, and GCP/Azure cloud. Analytics stack includes Databricks, Power BI, Tableau, and QlikView. The platform uses Go, Java, and Python for application services.
Active projects include selection optimization, inventory ranking, category growth, data products, and organizational transformation. Pain points center on forecast accuracy, inventory optimization, and modernizing their data platform.
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