亚马逊Senior AI Product Manager, Amazon Global Selling - PMO

任职要求

基本任职资格
- Outstanding verbal and written communication skills in Chinese and English
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience owning technology products

优先任职资格
- Master’s degree in equivalent field
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior…

工作职责

Define AI product vision and strategy across Global Selling seller segments and lifecycle stages; identify high-impact opportunities to apply AI/ML (e.g., GenAI, agentic AI, intelligent automation) to empower business teams — including Marketing, CRM, seller acquisition, and seller growth — to drive operational efficiency and business outcomes at scale.

Own the end-to-end AI product lifecycle — from ideation and opportunity sizing, through technical development and experimentation, to launch, adoption, and iterative improvement — ensuring alignment between business objectives, user needs, and technological capabilities.

Develop and communicate product requirements including model objectives, data specifications, evaluation metrics, and responsible AI guardrails; earn trust from cross-functional stakeholders (engineering, applied science, design, business operations) and external partners through clear documentation and aligned decision-making.

Lead cross-functional and cross-regional collaboration with scientists, engineering, and data teams to build, evaluate, and ship AI-powered products; drive development velocity by managing trade-offs, unblocking technical dependencies, resolving issues, and maintaining rigorous experimentation standards (A/B testing, model performance benchmarks).

Drive measurable business impact post-launch through continuous monitoring, data-driven iteration, and feedback loops; leverage market analysis and competitive intelligence to inform product positioning and roadmap evolution.

Manage stakeholder and leadership communications across multiple geographies — including problem framing, AI solution trade-off analysis, product/business reviews, budget and headcount planning, and organizational change management for AI adoption at scale. Partner with international stakeholders, leaders, and tech teams to align priorities and drive execution across regions.