Most AI in commerce helps customers find what already exists. We help shape what should exist.
Third-party sellers account for about 60% of units sold in Amazon's stores. New Product Success helps them identify, launch, and scale new products, and helps customers discover them. As AI reshapes shopping, the store that wins won't have the most products. It will have the products customers actually want. That's the problem we solve, with ML and AI at the core.
As the Principal PMT on New Product Success team, you will own the ML-powered system that turns unmet customer demand and gaps in our selection into launch opportunities for sellers. That means finding what customers want but can't find using internal and external signals, sizing and ranking those gaps, personalizing them for each seller, and setting up for success each opportunity through launch and discovery across shopping surfaces.
Few roles let a product leader own the ML, the user experience, and the marketplace growth outcome end to end. This one does, and it's high-visibility, high-leverage, and central to how Amazon's selection grows. The results are tracked as company level goal by Amazon's executive leadership team.
Key job responsibilities
• Own the multi-year vision, strategy, and roadmap for this space, working backwards from both customers and the sellers who serve them.
• Define product requirements for the ML systems behind the experience, including product clustering, unmet demand and selection gap detection, opportunity sizing and ranking, and personalization.
• Own the seller-facing experience: which opportunities each seller sees, when, and why, so guidance is clear, trusted, and actionable.
• Close the loop from opportunity to launch, measuring whether guided launches succeed and feeding those learnings back into the models.
• Shape the economic model that makes launching guided selection the rational choice for sellers - spanning fee incentives, discovery support, and risk-sharing mechanisms that close the gap with low-cost competitors.
• Partner with engineering, science, design, user research, and marketing, and influence Directors and VPs across Amazon through PRFAQs, strategic narratives, and business reviews.
• Set the metrics, mechanisms, and experimentation strategy that prove impact and guide future investment.
