Sr. Manager, Product Management, ROA, Worldwide Global Selling
Amazon is hiring a Sr. Manager, Product Management, ROA, Worldwide Global Selling in Beijing, China. Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include RAG, AI agents and AI product.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead product management for AI-powered solutions and global seller experiences across the Rest of Asia region.
The ideal candidate combines strong product/program management expertise with a deep understanding of AI/GenAI technologies and their application to business operations. They should thrive in a cross-functional, fast-paced environment serving multiple markets and time zones; demonstrate proficiency in both leveraging AI tools for operational excellence and developing AI-powered products that make Sellers and internal teams work more effectively; have proven experience influencing cross-org global stakeholders; and demonstrate strong people leadership capability to build, develop, and inspire a high-performing team.
Key job responsibilities
Product Strategy & Program Management
• Identify opportunities across the Global Selling Seller segments and lifecycle in ROA regions; build new products/services to accelerate Seller growth; define go-to-market strategy and drive product success.
• Own the ROA product Strategy and roadmap across Seller journey, including Seller onboarding, Selection and Listing, Supply Chain, Compliance and Account health topics across global marketplaces.
• Clearly define and communicate product requirements and Seller Experience pain points; gain alignment from internal stakeholders and external partners.
• Drive continuous product optimization based on Seller feedback, data analysis, and market insights.
• Develop and implement scalable programs including Seller education, training content, and operational playbooks tailored to each ROA region.
• Design effective approaches to support ROA Sellers' business growth on Amazon worldwide, including maximizing selection, driving feature adoption, monitoring account health, performance, and product quality.
AI Product Innovation & Management
• Lead the identification and development of AI/GenAI-powered solutions to enhance Seller experience, optimize Seller recruitment, and improve account management efficiency across ROA region.
• Drive AI product strategy and roadmap, identifying high-impact use cases and delivering solutions through collaboration with global and local teams.
• Champion a culture of innovation and experimentation; pilot emerging AI technologies to drive Seller productivity and operational efficiency.
• Translate business opportunities into technical requirements and articulate technical capabilities into tangible business value for stakeholders and leadership.
Business Operations & Data Intelligence
• Oversee the business intelligence and sales operations functions, ensuring data-driven decision-making across all Seller-facing initiatives.
• Build and scale the ROA data infrastructure — define KPIs, establish reporting frameworks, and deliver actionable insights on Seller performance, funnel health, and market trends.
• Drive operational excellence through sales operations: optimize Seller lead management, pipeline tracking, territory assignment, and performance governance across Taiwan, South Korea, and SEA.
• Leverage data analytics to identify growth opportunities, diagnose Seller pain points, and inform product/program prioritization.
• Develop regular business review cadences with standardized metrics and automated reporting to enable leadership visibility into ROA performance.
• Establish standard operating procedures (SOPs) and continuously improve operational processes to achieve higher productivity, accuracy, and efficiency.
Stakeholder Management & Cross-Functional Collaboration
• Serve as a key partner to GS ROA region leaders based in Taiwan, South Korea, and SEA, understanding local dynamics and aligning PMO priorities with market business objectives.
• Establish strong relationships and trust with global stakeholders, including Amazon marketplace teams, global product teams, tech teams, and business partners.
• Lead cross-functional collaboration between central product teams, technical teams, business stakeholders, marketing, legal, tax, Seller performance, and Seller support.
• Partner with CN GS PMO peers to share best practices, align product strategies, and ensure consistency in Seller experience across Global Selling.
• Drive effective communication of product strategy, roadmap, and impact analysis to senior leadership.
• Provide inputs to the Global Selling ROA Seller funnel strategy; establish connections with Amazon global marketplaces' product and program teams to support product localization and launches.
Team Leadership & People Development
• Lead and develop a multi-disciplinary team of product managers, program managers, business intelligence engineers, and sales operations professionals serving Global Selling teams based in Taiwan, South Korea, and SEA.
• Set team vision, priorities, and operating rhythms; establish clear goals and performance expectations aligned with business objectives.
• Build a high-performing team culture; hire, coach, and grow talent across multiple functions.
• Foster AI fluency and data literacy across the team; upskill team members on leveraging AI tools for productivity and innovation.
• Contribute to organizational planning, workforce strategy, and talent pipeline development.
Market Operations & Seller Growth
• Analyze opportunities and recommend account management strategies and business plans to grow selection from ROA Sellers.
• Drive Seller success as measured by lead generation, feature adoption, account health, performance, year-over-year growth, and profitability.
• Manage key operational metrics for supporting Sellers across the registration, onboarding, and growth lifecycle.
• Navigate through ambiguities; be fungible to support critical initiatives across markets.
• Participate in business reviews with Senior Leadership Team and make recommendations to develop mid/long-term plans for ROA markets.
Basic qualifications
- 12+ years of product or program management, product marketing, business development or technology experience
- Demonstrated ability to leverage AI/GenAI tools and data analytics to drive business decisions and improve operational efficiency
- Proven ability to lead cross-functional discussions and deliver projects under tight deadlines
- Outstanding verbal and written communication skills in English
- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or related field. MBA is a Plus.
- Superior analytical skills; demonstrated ability to identify and solve ambiguous problems
- Successful track record in team management, hiring and people development
- Experience owning/driving roadmap strategy and definition, end-to-end product delivery, and tradeoffs of a product
Preferred qualifications
- Experience engaging and influencing senior executives
- Experience with AI/ML product development, including defining AI use cases, partnering with technical teams on model development, and driving AI-powered business solutions to production
- Experience in cross-border e-commerce business
- Strong understanding of GenAI capabilities (LLMs, RAG, agentic workflows) and their practical application to business operations and Seller experience
- Experience working in a global company with multiple stakeholders across the Asia-Pacific region
- Experience with supporting nascent products/services entering new markets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Sr. Manager, Product Management, ROA, Worldwide Global Selling at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where program management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, AI Product, Product Management, and Program Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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