2 дня назад
Director, Product Management (SCM Automation, Taiwan)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Product Management (SCM Automation, Taiwan) (e-commerce and supply chain automation): Leading strategy, roadmap, and execution for model-driven systems that determine what, when, and how much to order across Coupang's retail supply chain with an accent on optimization, machine learning, and AI-enabled automation. Focus on building scalable decision products, translating ambiguous operational problems into measurable solutions, and leading Product Managers across Taiwan and global teams.
Location: Taipei, Taiwan; onsite or virtual onsite interview stage
Company
operates an e-commerce platform in Taiwan with Rocket Delivery and international delivery services.
What you will do
- Define the long-term strategy and roadmap for Supply Chain Management Automation products.
- Lead product investments across ordering, replenishment, inventory, and procurement decision systems.
- Partner with Engineering and Data Science to build scalable machine learning, optimization, and AI-powered products.
- Align Retail, Buying, Instock, Operations, and global stakeholders, including teams in Korea.
- Establish product KPIs and measure business impact.
- Manage and develop a growing team of Product Managers.
Requirements
- 10+ years of Product Management experience in e-commerce, technology, supply chain, or related industries.
- Experience leading complex, data-driven products at scale and partnering with Engineering and Data Science organizations.
- Experience managing Product Managers and leading cross-functional teams.
- Strong quantitative, analytical, stakeholder management, and communication skills, including hands-on work with large datasets.
- Professional proficiency in Mandarin Chinese and English is required for working with Taiwan-based stakeholders and global teams.
Nice to have
- Experience with supply chain, inventory, forecasting, replenishment, or procurement systems.
- Experience launching machine learning, optimization, forecasting, automation, AI-powered, GenAI, or agentic products.
- Experience in large-scale e-commerce or marketplace environments.
- Advanced degree in Engineering, Operations Research, Statistics, Economics, or a related quantitative field.
Culture & Benefits
- Work with Engineering, Data Science, Retail, Operations, and global teams.
- Contribute to 's expansion and product development in Taiwan.
- Build highly automated, model-driven systems focused on inventory availability, purchasing efficiency, and customer experience.
Hiring process
- Application review.
- Phone interview.
- Onsite or virtual onsite interview, followed by an offer.
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