Senior Director of Engineering (SCM Autonomation)

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Today, we provide exceedingly fast shipping speeds on millions of items including fresh groceries, delivered within hours nationwide, 365 days a year.

We are doing this for millions of consumers in Korea. Korea is home to one of the largest and fastest growing e-commerce opportunities anywhere in the world.

About the Role: 

Supply Chain Management Autonomation (SCMA) is responsible for Demand Forecasting, Automated Ordering and Inventory Management for Coupang’s Rocket delivery network. SCMA ensures that customer demand is accurately predicted and that Coupang carries sufficient inventory to meet customer availability goals for millions of products. SCMA builds models and systems to break the tradeoff between inventory and availability, constantly pushing the efficient frontier closer to the ideal. Our forecasting models use a variety of traditional Time Series and ML / Deep Learning models to predict customer demand for every product, every day. And our inventory ordering and management models ensure that Coupang provides the best buying experience for our customers, while minimize excess inventory and waste.

As leader of the SCMA Engineering organization, you will lead engineering teams to solve key challenges in Coupang’s Supply Chain: managing our automated ordering system, development of new ordering models, scaling out our Supplier and SKU Master Data systems, managing Supplier interaction workflows. All of these at e-commerce scale.

Key Responsibilities:

• Lead the performance and scaling of key SCMA systems and engineering teams;
• Design and implement ordering models and inventory management models to achieve optimal inventory health;
• Scale out / scale up ordering, master data and workflow systems to support e-commerce scale operations with rapid growth;
• Collaborate with Data Science teams to implement algorithms/models into production environments and evaluate outcomes;
• Collaborate with product owners and stakeholders to identify opportunities to improve Supply Chain performance.

Key Experience:

• Ph.D. in Computer Science, Electrical Engineering, Industrial Engineering or a related field and 10 years relevant work experience (preferred);
• Master’s degree from those fields and at least 15 years relevant work experience (optionally);
• Experience leading large engineering organization at e-commerce size / scale;
• Proven record in converting high-level business requirements into mathematical models and simulation models (e.g. Discrete Event Simulation models, Agent-Based Simulation models);
• Working experience in supply chain management (e.g. inventory management, ordering systems, capacity planning);
• Proficiency with relevant programming languages (e.g. Python, Java, Scala) and Software Development Lifecycle;
• Good communication and presentation skills in English with both technical and business stakeholders;
• Familiarity with relevant techniques in Machine Learning (Deep Learning, Reinforcement Learning) is a plus.

Recruitment Process and Others:

1. Recruitment Process: Application Review - Phone Interview - Onsite Interview - Offer  
(The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.)
2. Others:
a. This job post may be closed early if all openings are filled.   
b. If there is any false information in the application, the offer may be cancelled.
c. Veteran status or disability will not result in any disadvantages in the recruitment process.
d. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.