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Amazon · Seattle, WA

Senior Product Manager - Tech, Selection Economics

US, WA, SeattleManager or leadProduct

Listed on Amazon’s official careers site. Posted August 26, 2026. Check that it is still open and apply there.

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Job description

The International Seller Services team is looking for a Sr. Product Manager to lead Selection Economics and growth.

In this role, you will lead Amazon's strategy to drive third-party selection growth in emerging & established markets by identifying selection gaps, developing acquisition strategies, and building AI-native solutions that connect sellers with manufacturers at scale. You will own both the "what" (which selection to grow, in which categories, for which markets) and the "how" (an AI-native platform that automates the seller-manufacturer coordination lifecycle end-to-end).

You will partner with data, science, and engineering teams to build and scale this platform across sourcing countries and marketplaces.

Key job responsibilities

- Identify and prioritize selection gaps using unmet demand signals, category growth trajectories, competitive density, and seller economics to determine where new selection creates the most customer value

- Create frameworks to evaluate selection opportunities across marketplaces, balancing customer demand, manufacturer supply capability, landed-cost economics, and seller profitability.

- Lead cross-border selection initiatives, identifying successful selection patterns in one market and scaling them across geographies.

- Build measurement frameworks to evaluate the impact of new selection initiatives on GMS, selection breadth, and marketplace health.

- Own the product roadmap for an AI-native platform that connects sellers with manufacturers to grow selection across the full lifecycle: opportunity discovery, demand consolidation, production coordination, fulfillment, and post-order launch

- Partner with data, science, and engineering teams to develop and scale selection growth offerings.

- Drive alignment across regional teams to ensure consistent execution of global selection strategy while accommodating local market needs.

- Define the operational model for how AI-native automation and human account management work together: where the platform acts autonomously and where humans add value

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