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Senior Product Manager - Fraud Detection System

Coupang

Senior Product Manager - Fraud Detection System

Coupang

Taipei, Taiwan

·

On-site

·

Full-time

·

1w ago

Required Skills

Product Management

Data Analysis

Cross-functional Leadership

Project Management

Communication

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.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Role Overview

In this pivotal role, you will be the guardian of trust for Coupang Taiwan. You will be at the forefront of defining and executing a strategic roadmap to protect our customers, sellers, and our platform from fraud and abuse. Your mission is to ensure our groundbreaking e-commerce services are not just innovative, but also the safest and most trusted in the Taiwanese market.

What You Will Do

You will lead the strategy for a world-class anti-fraud and anti-abuse product suite. Your primary goal is ensuring a secure experience is at the forefront of our growth, setting the new industry benchmark for platform integrity in Taiwan..

Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure and a supportive, collaborative culture, enabling you to move quickly and make a significant impact in a high-stakes domain.

Expand your expertise in real-time Machine Learning models for fraud detection, predictive risk scoring, anomaly detection, and sophisticated defense systems. This is your chance to set your experience apart at a company that leads with innovation.

Join a team of world-class talent drawn from across the globe; you’ll get the chance to collaborate with peers from industry leaders such as Amazon, Google, and Uber. We’re looking for people who will enhance our rich, diverse environment with your unique perspective.

Lead initiatives that protect everyone in our ecosystem, from buyers and sellers to our delivery partners. You will identify and neutralize emerging fraud trends, optimize risk policies, and balance user friction with robust security. You will use a data-centric approach to build, measure, and iterate on your products, delivering tangible results that protect our customers and our business.

Collaborate with cross-functional teams (including Engineering, Data Science, Operations, and Business) to embed trust and safety into every part of our service ensuring a secure and reliable experience tailored for the Taiwanese market.

Essential Qualifications

Minimum 6 years of product management experience or equivalent, with a proven track record of developing and managing large-scale products

Ability to combine strategic foresight with a strong execution focus to drive results.

Strong analytical skills and experience using data to drive decision-making and identify growth opportunities.

Demonstrated ability to lead cross-functional teams and manage complex projects with multiple stakeholders.

A proactive approach, with a willingness to delve into details and drive results.

Excellent communication skills, capable of conveying complex ideas succinctly and persuasively. Proficiency in English and Chinese is required.

Preferred Qualifications

Prior experience in the e-commerce industry, particularly with developing and scaling risk, trust & safety, or fraud prevention products..

Experience launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.

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.

  • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

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

https://www.coupang.jobs/privacy-policy/

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About Coupang

Coupang

An e-commerce platform that offers a wide variety of products, including apparel, electronics, and home goods.

10,001+

Employees

Seoul

Headquarters

$109B

Valuation

Reviews

2.5

9 reviews

Work Life Balance

2.1

Compensation

2.8

Culture

2.4

Career

3.2

Management

1.9

25%

Recommend to a Friend

Pros

Growth opportunities and career advancement

Good compensation and timely pay

Remote work flexibility

Cons

Poor work-life balance and long hours

Toxic management and controlling behavior

Poor working conditions and workplace safety

Salary Ranges

1 data points

Principal/L7

Senior/L5

Principal/L7 · Data Scientist L7

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

2 interviews

Difficulty

4.0

/ 5

Offer Rate

50%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Behavioral/Culture Fit Interview

4

Coding Interview

5

Technical Interview

6

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit