亚马逊Marketing AI Product Specialist Intern, Prospect End-to-End Journey, Amazon Global Selling
任职要求
基本任职资格 - Speak, write, and read fluently in Mandarin - Currently enrolled in a Bachelor's degree or higher program in Marketing, Business, E-commerce, or equivalent field; graduating between December 2026 and August 2027 - Fluent in Mandarin (speak, write, and read); proficient in English (written and spoken) with the ability to work in an English-language environment - Basic understanding of marketing fundamentals — including campaign planning, funnel concepts, and consumer/customer insight; able to gather and interpret insights through methods such as surveys, interviews, or behavioral data - Genuine interest in AI tools (e.g., LLMs, generative AI, automation agents) with some hands-on experience applying them to coursework, personal projects, or internship tasks - Analytical mindset with the ability to interpret data and translate findings into clear recommendations - Effective communication skills, with the ability to collaborate across teams and proactively follow through on tasks - Fast learner with high learning agility — self-driven to explore new topics, tools, and domains independently - Able to work 4–5 days per week …
工作职责
Own the product vision and roadmap for the prospect end-to-end journey — designing and building tools and experiences that guide prospects from initial awareness to global selling readiness and registration. Define product requirements by translating prospect pain points, behavioral data, and market insights into actionable feature specs (e.g., personalized site exploration, drive Global by default, cost simulators, readiness checklists, guided learning paths). Partner with engineering to ship iteratively, balancing MVP speed with scalable architecture across official site and Mini App. Build and maintain measurement frameworks — including journey funnels, engagement metrics, and conversion dashboards — to evaluate feature impact and prioritize the backlog.
• Skill Engineering: Author and refine AI agent skills that encode GbD GTM messaging, value propositions, and seller education content, covering key narratives across the seller journey • Pre-launch Educational Path Design: Design and document the unified educational journey for sellers — defining which agent delivers which knowledge at which stage, and creating a reference architecture for the end-to-end path • Content & Messaging Development: Support the creation of product marketing materials including messaging frameworks, seller-facing content, and GTM playbooks • Cross-functional Collaboration: Work with product, sales, and marketing teams to ensure consistent messaging and smooth seller onboarding experiences • AI-Powered Marketing Innovation: Explore and apply generative AI, prompt engineering, and agent-based architectures to scale product marketing efforts
AI-Powered Compliance Discovery: Help develop AI tools that let Sellers surface the latest compliance requirements for a specific marketplace and product category on demand. Turn fragmented compliance communications (regulations, marketplace policies, category rules) into structured, reliable inputs for those tools. Partner with product key stakeholders to keep tool outputs accurate, current, and trustworthy. Agentic Compliance Journeys: Support the design of agentic compliance education paths that adapt to each Seller's compliance readiness, product category, and target marketplace — sequencing the right content into coherent multi-step journeys. Reusable AI Content Skills: Help turn core compliance content — such as the message house, value propositions, and positioning — into reusable AI skills. By codifying it once, make it easy for cross-functional teams to tap into consistent, on-brand material and accelerate their own content development. Maintain and update these skills over time to ensure the messaging stays accurate, current, and reusable across the organization.
• Leadership: Lead the exploration and implementation of AI-driven marketing engagement experience and marketing solutions using industry leading AI technology and in-depth data analysis. Able to drive the alignment with stakeholders and provide guidance to team to move forward. • Product Roadmap: Proven track record of developing and managing product roadmap with groundbreaking marketing user journey, customized marketing and media optimization solutions for sellers (and service providers). • Use Cases Development: Work with marketing stakeholders to design marketing use cases, applications and user journey. • Solution Design: Structured mindset and able to influence and support MKT and Central AI/product teams for the development and deployment of marketing automation, and AI products & tools, including content creation, channel distribution, media buy optimization, personalized engagement and other customized marketing tactics. • Technical Expertise: Serve as the subject matter expert on Audience Engagement Experience applications and understand complementary technologies including machine learning, natural language processing, computer vision, and other relevant domains. Stay up to date with the latest advancements in AI and recommend suitable technologies for specific use cases. • Continuous Learning: Stay current on the latest advancements in AI technology and tools. Conduct ongoing research and analysis to identify market trends and marketing application opportunities. • Data insights: Lead BIE and data analysts to turn data into insights and leverage data-driven insights for MKT/AI product development.
• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.