Role Overview

This role would be part of SCM Autonomation team in Coupang. SCM Autonomation team is responsible for building Retail SCM products, deep data science capabilities, analytical frameworks and owning metrics end to end to provide driving significant business impact. It will involve building AI/ML heavy products in areas not limited to Forecasting, Ordering Science, Inventory optimization, Inventory placement and Supplier integration. Forecasting is the holy grail for any retail company affecting both growth and health of the organization. This role will involve building ML/data heavy products like forecasting, ordering science and inventory optimization, solving complex business use cases including promotion, seasonal, cyclicity, long horizon planning. Product leader is expected to nurture ordering science product roadmap, crystalize, and quantify various problem statements, put together prioritization framework and bring clarity to wider organization in most simplistic manner about this deep data science problem. It is expected person understand deep data science model nuances and bring complete visibility on roadmap and deliverables trade-offs taken and influence stakeholders around to take right prioritization decisions.

Key Responsibilities

1. Defining product vision, roadmap for Retail SCM products such as OM stack (Ordering Management), E2E Supply Management stack involving products linked to Replenishment, Capacity orchestration, Selection mgmt., Inventory optimization in multi-echelon supply network, Inventory Policy Engine.
2. Defining product vision, roadmap for Auto Ordering Platform covering various business lines
3. Building robust Inventory Policy engine product defining buying policies for different SKU segments
4. Establishing product features prioritization approach and ruthlessly prioritizing multiple projects
5. Collaborating with Data science, business, finance, product analytics teams to prioritize features.
6. Own product analytics into model operation model to iron out fundamental flaws.
7. Establishing product features prioritization approach and ruthlessly prioritizing multiple projects
8. Defining product success metrics, building hypothesis, designing & conducting POC before building features for scale
9. Influence data engineering improving model inputs Data quality / visibility / transparency and putting mechanism in place monitor model inputs, data drift, features stability.

Qualifications

1. 10-15 years of experience in Product management in SCM / deep analytics areas especially in retail domain.
2. AI/ML/Data heavy products building experience.
3. Excellent excel / SQL skills for quick problem study and problem quantification.
4. Ability to absorb noise, quantify problems and prioritize ruthlessly and parallelize products.
5. Minimum bachelor’s degree. Preferably master’s in business management or data analytics or statistics or equivalent
6. Product roadmap building, Product/design thinker, simplifying problem statements and articulating it in the most lucid way.

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.

https://privacy.coupang.com/en/land/jobs/

Document Return Policy

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.