3 дня назад
Lead Product Manager (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Product Manager (AI): Leading the product roadmap and end-to-end development of Coupang Taiwan’s Customer Service Intelligence domain with an accent on post-purchase experiences, self-service, agent productivity, and AI/LLM-powered support features. Focus on designing experiments, analyzing customer and business data, prioritizing trade-offs, and coordinating globally distributed engineering, ML, UX, analytics, and operations teams.
Location: Taipei, Taiwan
Company
operates an e-commerce platform in Taiwan featuring Rocket Delivery and Rocket Overseas services.
What you will do
- Define and drive the product roadmap for the Customer Service Intelligence domain.
- Lead end-to-end product development from conception through launch and iteration.
- Develop hypotheses and run A/B tests to identify trends and deliver measurable business impact.
- Partner with engineering, ML, UX, analytics, and operations teams across globally distributed stakeholder groups.
- Define product vision for AI/LLM-powered features that improve self-service, agent productivity, and resolution quality.
Requirements
- Bachelor’s degree in engineering, computer science, or a related technical discipline, or equivalent experience.
- 6–8 years of product management experience with a record of shipping consumer-facing products.
- Experience creating and executing product roadmaps from conception to launch.
- Strong analytical, business, stakeholder communication, and prioritization skills.
- Ability to manage multiple concurrent projects and iterate rapidly in an agile environment.
Nice to have
- Experience with e-commerce, marketplaces, or large-scale digital services.
- Experience with AI/ML, NLP/NLU, LLMs, automation, or data platforms applied to customer support or self-service.
- Hands-on data analysis skills with SQL and Excel.
- Familiarity with experimentation frameworks, A/B testing, or reinforcement learning.
Culture & Benefits
- Opportunity to contribute to ’s expansion in Taiwan.
- Collaboration with globally distributed teams.
- Work in a fast-paced, data-driven, agile environment.
Hiring process
- Application review followed by a phone interview.
- Onsite or virtual onsite interview.
- Offer.
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