亚马逊Senior Marketing AI and Seller Experience Manager, Marketing - Amazon Global Selling
任职要求
基本任职资格 - 8+ years of technical product and program management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Proven record of team management - Strong oral and written communication skills in both Chinese and English 优先任职资格 - Experience working within a high-growth, technology-driven company - Experience with end-to-end tech product development Our inclus…
工作职责
• 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.
Product Strategy & Development - Own the product vision, strategy, and roadmap for AI products in compliance domains - Identify and prioritize high‑impact opportunities - Design and launch AI-powered solutions that reduce friction and improve Seller experience - Drive measurable improvements in efficiency, automation, and decision quality - Lead continuous product optimization using experimentation, data insights, and user feedback. Technical Leadership - Partner with data science and engineering teams to design, build, and scale AI/ML and LLM-based solutions. - Define clear technical requirements, success metrics, and guardrails for AI-powered features and workflows. - Oversee end‑to‑end execution cycles, ensuring on‑time delivery, reliability, and strong business outcomes. - Champion data‑informed decision making across product initiatives, leveraging experimentation and A/B testing where appropriate. Stakeholder Management - Lead cross‑functional collaboration between central product/program teams, tech teams, operations, legal/compliance, and external partners. - Communicate product strategy, roadmap, and impact clearly to senior leadership, including trade‑offs and decision rationale. - Drive alignment and change management across CN and global teams, ensuring scalable adoption of AI solutions. - Influence stakeholders at multiple levels to remove roadblocks and accelerate delivery.
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions, develop AI applications for simple use cases through vibe-coding and Amazon AI tools. • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams