Director of Product Management

Coupang · Seoul, South Korea · по договорённости

Компания
Coupang
Город
Seoul, South Korea
Зарплата
по договорённости
Уровень
lead
Формат
full_time
Иностранная компания
нанимает русскоязычных

Company Introduction

Coupang is a Fortune 150 global technology company and the largest e-commerce platform in South Korea, driven by a mission to create a world where customers ask: "How did I ever live without Coupang?" By leveraging an end-to-end vertically integrated logistics network and cutting-edge machine learning and robotics, Coupang delivers a seamless, mobile-first shopping experience through signature services such as Rocket Delivery, Rocket Fresh, Coupang Eats, Coupang Play, and Coupang Pay . With an expanding footprint that includes operations in Taiwan and global luxury marketplace Farfetch, Coupang continues to revolutionize retail, logistics, and digital services through continuous technical innovation and an unwavering obsession with customer delight .

Role Overview

We are looking for a vision-driven, analytical Director of Product Management (L7) to lead the strategy, portfolio, and continuous evolution of our Supplier Integration Systems & Master Data Platform . In this role, you will build the AI-driven models, platform features, and intelligent applications needed to solve our most complex business problems .

As a senior product leader, you will own the strategic product roadmap and bring innovative ideas to life that solve hard operational challenges and wow our Customers . You will work hand-in-hand with Engineering, Data Science, and Executive Leadership, establishing governance frameworks that guarantee operational velocity, data accuracy, and system resilience at scale .

What You Will Do

Own the strategic vision and roadmap for the Master Data Platform, turning enterprise data into a foundational driver for intelligent planning and in-stock excellence .

Build AI/ML models to transform master data into actionable insights, driving smarter planning and optimizing in-stock availability .

Analyze complex, high-volume datasets to uncover operational patterns and drive data-backed company-wide decisions .

Design and deliver intelligent platform features and applications that simplify data ingestion, prevent out-of-stock scenarios, and optimize overall inventory health .

Partner with Engineering, Data Science, and Operations to build scalable, intelligent data systems .

Define core success metrics and run experiments to validate AI model performance and business impact .

Align executive leadership and cross-functional partners on business processes, system rules, and platform priorities—navigating ambiguity and pushback to drive alignment .

Establish standardized operational logic and governance rules across business units to eliminate ambiguity, drive process adoption, and protect selection continuity .

Maintain enterprise-wide data hygiene, quality standards, and architectural frameworks that ensure system resilience at scale .

Basic Qualifications

Analytical thinker who works well in a fast-paced, data-driven, and highly ambiguous entrepreneurial culture .

Demonstrated ability to work with cross-functional teams and manage multiple complex initiatives .

Bias for action and willingness to get your hands dirty to get the job done .

Sound business judgment and proven ability to effectively communicate and influence senior stakeholders and executive leadership .

Superior verbal and written communication skills .

Bachelor's degree in Computer Science, Engineering, or equivalent experience .

Preferred Qualifications

E-commerce, supply chain, or logistics experience .

Proven experience building and scaling enterprise data platforms, Master Data Management (MDM) systems, or AI/ML-driven features .

Experience working with multiple cross-functional teams across different geographies .

Fast-paced growth or startup environment experience .

Korean communication skills .

Recruitment Process and Others

Recruitment Process

Application Review - Job Fit Interview - Focus Interview - Offer

The exact nature of the recruitment process may vary according to the sp

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