Amazon Service (Beijing) Co.
E-commerce
SeniorProductManagerTech,AmazonGlobalSellingPMO
“Senior Product Manager - Tech, Amazon Global Selling - PMO at Amazon Service (Beijing) Co.. Skills: AI Product Management, Generative AI, Machine Learning. Define AI product strategy. Drive AI product strategy”
What You'll Achieve.
Drive seller growth; Optimize AM workflows; Deliver business value; Measure product performance; Measure user adoption; Measure business impact
Industry & Context.
Identify pain points; Analyze working models; Derive patterns; Design AI-driven solutions; Resolve issues
What They're Looking For.
Must Have
7+ years product/program management, 2+ years managing AI/ML products, Bachelor's degree quantitative/technical field, Understanding of AI/ML concepts, Understanding of product development lifecycle, Ability to evaluate AI solution trade-offs, Experience leading technical discussions, Outstanding verbal/written communication Chinese/English, Ability to communicate complex AI concepts, Experience owning/driving roadmap strategy, Experience with end-to-end product delivery, Experience with feature delivery/tradeoffs, Experience as product manager/owner, Experience owning technology products
Nice to Have
Master's degree in CS/Engineering/Statistics, Experience with Generative AI technologies, Experience with large language models, Experience with AI agent systems, Hands-on prompt engineering experience, Hands-on AI model evaluation experience, Hands-on data science methodologies experience, Experience building AI products at scale, Experience in e-commerce/marketplace/seller tools, Experience influencing senior leadership, Experience working across functional teams, Experience building 0-to-1 AI products
What You'll Do.
Define AI product strategy
Drive AI product strategy
Leverage GenAI technologies
Leverage machine learning technologies
Build innovative products/services
Optimize AM workflows
Drive product success post launch
Translate AI/ML capabilities
Define product requirements
Balance technical feasibility
Balance business impact
Collaborate with stakeholders
Earn trust from partners
Design AI-powered system solutions
Align AI-powered system solutions
Evaluate AI/ML model performance
Resolve AI product issues
Manage development cycles
Drive responsible AI practices
Ensure product quality
Ensure product fairness
Ensure product safety
Deliver business value
Manage stakeholder communications
Manage leadership communications
Define success metrics
Define KPIs for AI products
Establish frameworks to measure performance
Establish frameworks to measure adoption
Establish frameworks to measure business impact
Stay current with AI/ML trends
Identify opportunities for new capabilities
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Data science teams; UX teams; Business stakeholders; Internal stakeholders; External partners; Data scientists; ML engineers; Technology teams
Communication Scope
Verbal communication; Written communication; Communicate complex AI concepts; Stakeholder communication; Leadership communication
Process & Methodology
Roadmap strategy, Product delivery, Feature delivery, Product releases
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