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Amazon
We're seeking an entrepreneurial Product Manager to own and drive our cross-border commerce products, focusing on expanding our Global Store presence and exports program while optimizing business performance and customer experience across regions.
Key Responsibilities:
Product Strategy & Execution:
• Own the product vision, strategy, and roadmap for cross-border commerce initiatives
• Drive product development from conception to launch, including Global Store expansion and exports
• Define and prioritize product requirements through data-driven decision making
• Lead agile development processes with engineering and design teams
Business & Financial Management:
• Develop business cases and financial models for new market opportunities
• Own P&L metrics for cross-border products and initiatives
• Drive revenue growth and profitability through product optimization
• Create and monitor key business metrics and financial performance indicators
E-commerce & Customer Experience:
• Design and optimize end-to-end customer journeys for international shoppers
• Lead localization efforts including payment methods, pricing strategies, and user interfaces
• Analyze customer behavior data to identify opportunities and optimize conversion
• Partner with UX teams to create seamless shopping experiences
Cross-functional Leadership:
• Work with Tech, Business, Finance, Operations, and regional teams
• Collaborate with logistics partners on international shipping solutions
• Ensure compliance with regional regulations while maintaining product vision
Analytics & Data-Driven Decision Making:
• Leverage data analytics to drive product decisions and prioritization
• Conduct market analysis and competitive research
• Design and analyze A/B tests to optimize product performance
• Create and monitor dashboards for key metrics
Preferred Qualifications:
• Experience with marketplace or retail platforms
• Strong understanding of international payment systems and financial regulations
• Background in growth product management
• Experience with machine learning and automation initiatives
• Proficiency in multiple languages
Technical Skills:
• SQL and data analysis tools (e.g., Python, R)
• Business intelligence platforms (e.g., Tableau, Looker)
• Product analytics tools (e.g., Amplitude, Mixpanel)
• Financial modeling and analysis
• A/B testing frameworks