Job description

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. - Bachelor's degree - 8+ years of technical product or program management experience - Experience with feature delivery and tradeoffs of a product - Experience leading large projects through the full product development life cycle in a large, cross-functional team - Experience contributing to the architecture and design of new and current systems - Experience defining and shipping ML-powered products, such as recommendation, ranking, personalization, or prediction systems - Experience communicating product strategy and influencing senior leadership through written narratives and executive reviews - Experience in project management methodologies, business analysis, or process improvement - MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience with generative AI, LLMs, or agentic experiences in production - Experience with two-sided marketplaces or seller, merchant, or partner-facing platforms - Experience leading complex, multi-year initiatives that span business and technology Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

Requirements

Must-haves

Most AI in commerce helps customers find what already exists. We help shape what should exist.
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.
Bachelor's degree
8+ years of technical product or program management experience
Experience with feature delivery and tradeoffs of a product
Experience leading large projects through the full product development life cycle in a large, cross-functional team
Experience contributing to the architecture and design of new and current systems
Experience defining and shipping ML-powered products, such as recommendation, ranking, personalization, or prediction systems
Experience communicating product strategy and influencing senior leadership through written narratives and executive reviews
Experience in project management methodologies, business analysis, or process improvement
MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience with generative AI, LLMs, or agentic experiences in production
Experience with two-sided marketplaces or seller, merchant, or partner-facing platforms
Experience leading complex, multi-year initiatives that span business and technology
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

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Keywords to mirror

aiml

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave