Program Manager, Amazon Private Brands Global Sourcing
Amazon is hiring a Program Manager, Amazon Private Brands Global Sourcing in Shenzhen, China. Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions NLP among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
If so, the Amazon Private Brands Global Sourcing Team wants to hear from you.
We are looking for a driven and innovative Program Manager with a passion for holistic product lifecycle management, business analysis, and AI-powered operations. In this role, you will lead on-the-ground operational strategy across diverse product categories — from product launch through growth and continuous improvement — leveraging the latest AI technologies and deep business insights.
You will harness business analysis to identify market trends, uncover operational inefficiencies, and drive data-informed decision-making across the product lifecycle. In parallel, you will contribute to AI development initiatives — collaborating with technology teams to design, pilot, and scale AI and Generative AI solutions that automate workflows, enhance forecasting, and unlock new value across the sourcing ecosystem.
You will partner closely with cross-functional teams including Business, Technology, Marketing, and Quality, operating in a dynamic environment that demands strategic vision, analytical rigor, and hands-on execution. The ideal candidate blends strong program management skills with a passion for translating complex data into actionable strategies and a curiosity for building AI-driven tools that redefine how we work.
Key job responsibilities
Product Lifecycle Management & Data-Driven Strategy Develop and execute end-to-end operational strategies for product launches and growth initiatives, grounded in rigorous business analysis. Leverage data modeling, market intelligence, and AI-powered forecasting to inform category planning, optimize resource allocation, and accelerate time-to-market. Continuously monitor product performance using analytical frameworks to identify growth levers and drive iterative improvements across the lifecycle.
Problem Solving & Intelligent Decision-Making Apply strong analytical skills to quickly identify and break down complex problems, evaluate trade-offs, and make data-informed decisions under tight timelines. Utilize advanced business analysis techniques — including root cause analysis, scenario modeling, and predictive analytics — to surface actionable insights from large-scale operational data. Explore and integrate AI/GenAI-assisted diagnostic tools to enhance the speed and accuracy of problem identification and resolution.
Stakeholder Communication & Insight Storytelling Build effective communication frameworks that keep global stakeholders, partner teams, and leadership aligned, informed, and engaged. Transform complex business analysis outputs and AI-generated insights into clear, compelling narratives and visual dashboards that drive strategic alignment. Champion a culture of data transparency by democratizing access to analytical tools and AI-driven reporting across cross-functional teams.
Scaled Solutions, GenAI & Automation Development Proactively identify opportunities to drive scalable operational improvements by exploring and adopting GenAI and automation solutions. Partner with technology and data science teams to co-develop, pilot, and scale AI-powered tools — including intelligent workflow automation, natural language processing applications, and machine learning models — that streamline sourcing operations, reduce manual effort, and create lasting competitive advantages. Own the roadmap for integrating AI capabilities into day-to-day operations, measuring impact through clearly defined KPIs and business outcomes.
Basic qualifications
- Experience managing technical products or online services
- Experience in product, program, or project management in leading cross-functional teams in delivery of major new products or services
- Knowledge of SQL and VBA at an advanced level
- 5+ years of experience in developing, deploying and managing AI products at scale
Preferred qualifications
- Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization
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
Program Manager, Amazon Private Brands Global Sourcing at Amazon rates 70 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
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: NLP. 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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