Principal Technical Product Manager, Prime Video Commerce Personalization and Member Experience

Overview

As Principal PMT for Prime Video Commerce Personalization, you will define the vision and roadmap to personalize offers across all Prime Video surfaces at scale. You’ll lead end-to-end product delivery, partnering with Applied Science and ML teams to use reinforcement learning and optimization to improve customer outcomes. You will align multiple teams around shared goals, proving impact through measurable metrics and serving as a catalyst for a data-driven, customer-centric commerce experience.

Responsibilities

• Own the customer problem end-to-end with a clear vision, strategy, and roadmap for Commerce Personalization across Prime Video surfaces
• Define success metrics and impact on long-term business outcomes
• Fix critical customer contradictions and orchestrate coordinated intelligence across the customer journey
• Drive adoption at scale by enabling partner content discovery across 30+ countries
• Ship fast and prove impact continuously with phase-by-phase improvements
• Collaborate with Applied Science and ML Engineering on reinforcement learning, multi-objective optimization, and unified customer representations
• Drive organizational alignment, coordinating multiple teams toward shared customer outcomes with evidence-based decisions
• Build and defend the product strategy for ML/AI-powered consumer experiences
• Own end-to-end product strategy and tradeoffs for personalization features across commerce and content surfaces
• Lead engineering discussions and technology decisions related to the product

Key requirements

• Experience owning/driving roadmap strategy and definition
• Experience in technical product management, program management, or engineering
• Experience owning feature delivery and tradeoffs of a product
• Experience with end-to-end product delivery
• Experience leading engineering discussions around technology decisions and strategy related to a product
• Experience owning and delivering end-to-end product strategy for ML/AI-powered consumer products

• Collaborative and cross-functional leadership
• Data-driven decision making
• Strong communication and influence without authority
• ML/AI-powered product development
• Reinforcement learning
• Multi-objective optimization

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