亚马逊Sr. Product Manager, Marketing, Marketing CX & AI Program
任职要求
基本任职资格 - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree or equivalent - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - 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 - Experience in influencing senior leadership through data driven insights - Experience worki…
工作职责
- Multi-Agent System Architecture: Design and implement the Marketing Multi-Agent System architecture, orchestrating Strategy Planner, Context Summary, Content Generation, Distribution, and Tracking Agents - AI Agent Development: Lead the development of each specialized agent, ensuring they work cohesively to deliver end-to-end marketing automation - MVP & Prototype Delivery: Drive the delivery of AI engine MVP, demonstrating real data processing through complete agent workflows - Human-in-the-Loop Integration: Establish governance frameworks including Logs and Tracing features for human oversight and monitoring - Continuous Learning Systems: Implement self-learning capabilities that enable agents to improve performance through real-time feedback and optimization A day in the life Lead the development of the core Agentic AI Marketing Engine, forming the backbone of our autonomous marketing system. You will drive the technical strategy, architecture, and implementation of the multi-agent system that delivers hyper-personalized marketing experiences at scale.
- Product Management: Own and execute large, complex studies end to end — including scoping with business leaders, designing methodologies, collecting and analyzing data, generating recommendations and presenting results to senior leaders. - Strategic research: Translate complex business problems into analytical requirements and hypotheses. Apply diverse mythologies such as desktop research, expert interviews, qualitative interviews, and quantitative surveys to derive insights. - Technology Acumen: Lead technical assessments and deep dives to understand technology and underlying systems. - Stakeholder Management: Build strong relations with internal stakeholders to understand business priorities, inform our roadmap, and drive business growth, process improvement, and cost efficiency through insights. - Trends and Innovation Monitoring: Discover, track, and evaluate global industry and technology trends to inform strategy and product innovations at Amazon. - Process Improvement: Continuously innovate and scale our methodologies to optimize efficiency and impact.
Product Strategy & Development * Own the product vision, strategy, and roadmap for AI-powered Seller Education experiences. * Identify and prioritize learning opportunities across the seller lifecycle (e.g., onboarding, growth, compliance, optimization). * Design and launch AI solutions (e.g., adaptive learning, content recommendation, conversational tutors) that improve learning outcomes and engagement. * Drive measurable improvements in Seller learning efficiency, satisfaction, and business impact. * Lead continuous product improvement using experiments, data insights, and qualitative feedback from Sellers and stakeholders. Technical Leadership * Partner with data science and engineering teams to design, build, and scale AI/ML and LLM-based learning features. * Define clear technical requirements, success metrics, and guardrails for AI-powered education workflows. * Oversee end‑to‑end product development cycles, from discovery and design through implementation and launch. * Promote data-informed decision making and experimentation across all product initiatives. Stakeholder & Program Management * Lead cross‑functional collaboration between product, program, tech, content, marketing, and operations teams. * Communicate product strategy, roadmap, and results to senior leadership, highlighting trade‑offs and impact. * Drive alignment and change management across CN and global teams to scale adoption of AI‑powered learning solutions. * Influence internal and external partners to co‑create high‑quality, localized, and relevant learning experiences for Sellers.
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.
• Own fabric quality KPI metrics, continuously monitoring and deep diving data to proactively identify opportunities for improvement at the raw material and supplier level; Implement preventative actions and process improvements. • Lead reactive root cause analysis to quickly identify, diagnose and remediate bulk fabric quality defects identified through ongoing physical surveillance, minimizing risk to inventory outages. • Manage nominated mill relationships, establishing mutual goals in line with Softlines Private Brands overall raw material sourcing strategy • Identify and assess new nominated mill onboarding opportunities based on country-of-origin diversification, fabric development and risks mitigation needs. • Prepare and manage factory assessment/audit, qualification and onboarding execution. • Regularly monitor nominated mill fabric production, ensuring on time deliver to garment vendors. • Travel internationally to visit fabric suppliers and garment vendors, auditing production processes and providing feedback for improvement and increased efficiency.