Principal PM: AI-Powered New Product Discovery

Amazon; Seattle (WA); On-site; USD 180,000 - 243,000; Full time

Job summary

Amazon in Seattle, WA seeks a Principal Product Manager for New Product Success to own the ML-powered system turning unmet customer demand into seller opportunities across shopping surfaces. You will own the vision, strategy, and roadmap, partnering with engineering, design, and marketing to drive launches and measurable impact.

Responsibilities include defining ML requirements (clustering, demand detection, ranking, personalization), owning the seller-facing experience, and shaping the

Qualifications

• Bachelor's degree required.
• 8+ years of technical product or program management experience.
• Experience delivering ML-powered products such as recommendation, ranking, or personalization.
• Experience leading large, cross-functional projects through full product life cycle.

Responsibilities

• Own the multi-year vision, strategy, and roadmap for this space.
• Define product requirements for ML systems including clustering, demand detection, ranking, and personalization.
• Own the seller-facing experience: which opportunities sellers see and when.
• Close the loop from opportunity to launch and measure success of guided launches.
• Shape the business model to encourage guided selection and balance incentives and risk.
• Partner with engineering, science, design, user research, and marketing; influence senior leadership.
• Set metrics, mechanisms, and experimentation strategy to prove impact.

Skills

PM leadership

ML-driven products

Executive communication

Cross-functional collaboration

Education

Bachelor's degree

MBA / MS CS or Engineering / Analytics

Job description

Amazon in Seattle, WA seeks a Principal Product Manager for New Product Success to own the ML-powered system turning unmet customer demand into seller opportunities across shopping surfaces. You will own the vision, strategy, and roadmap, partnering with engineering, design, and marketing to drive launches and measurable impact.

Responsibilities include defining ML requirements (clustering, demand detection, ranking, personalization), owning the seller-facing experience, and shaping the