Product manager – Tech, Supply Chain Optimization Technology

Overview

In this role you will lead the vision and strategy for AI-powered automation within Amazon’s Supply Chain Optimization Technology to transform global planning. You will own the end-to-end product lifecycle for tools used by Sales & Operations Planning teams, partnering with scientists and engineers to translate AI/ML into impactful products. You will drive adoption and scaling across regions, shaping next-generation automation that reduces manual effort and accelerates decision-making. This is a high-impact, zero-to-one opportunity in a fast-moving, global environment.

Responsibilities

• Define and own the product vision, strategy, and roadmap for AI-powered automation tools in the organization
• Lead end-to-end lifecycle from ideation to launch, iteration, and scaling across global regions
• Collaborate with scientists, engineers, and business leaders to convert AI/ML capabilities into intuitive, high-impact S&OP products
• Identify and prioritize automation opportunities to improve planning speed and accuracy
• Align cross-functionally with engineering, science, operations, and leadership to ensure timely delivery
• Develop clear product requirements, user stories, and success metrics for development teams
• Analyze customer workflows and data to uncover new automation opportunities
• Monitor performance, gather stakeholder feedback, and iterate to expand adoption

Key requirements

• Experience owning/driving roadmap strategy and definition
• Experience with feature delivery and tradeoffs
• Experience contributing to engineering discussions on technology decisions and product strategy
• Experience representing diverse customers and stakeholders in executive prioritization
• Experience in technical product management, program management or engineering
• Experience with end-to-end product delivery
• Experience building and driving adoption of new tools

• Strong communication and stakeholder management
• Ability to navigate ambiguity and drive alignment across functions
• Customer-centric mindset and ability to translate needs into product outcomes
• AI/ML capability translation into user-facing products
• End-to-end product delivery in tech environments
• System architecture, optimization, system dynamics, and data-informed decision making

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