Drive impactful programs that enhance seller success across over 10 global marketplaces. This role involves owning critical Inventory and Multi-Channel Fulfillment (MCF) initiatives within Amazon's rapidly expanding international fulfillment network.

Leverage cutting-edge Generative AI to transform the seller experience and accelerate engineering delivery. You'll be at the forefront of integrating AI into complex inventory workflows, simplifying operations for millions of sellers worldwide, and promoting AI-native development practices to boost team velocity.

This is a high-visibility opportunity to shape the future of AI in e-commerce, offering autonomy and direct impact on a global scale.

Spearhead end-to-end program delivery for Inventory and MCF roadmaps, including AI-driven features like intelligent inventory recommendations and automated restock guidance.

Integrate Generative AI into seller touchpoints, such as WhatsApp-based order tracking and AI-powered inbound appointment scheduling.

Drive technical efficiency by adopting AI-native SDLC practices, including AI-assisted code reviews and LLM-powered scoping.

Prioritize quarterly roadmaps using data-driven frameworks, balancing innovation with operational excellence.

Coordinate across multiple engineering, product, and operations teams to manage dependencies and resolve blockers.

Identify and mitigate risks using AI-assisted pattern detection and automated reporting.

Communicate program status weekly and conduct monthly reviews with senior leadership.

A minimum of 7 years of experience working directly with engineering teams is required.

Possess over 5 years of experience in technical product or program management.

Include at least 3 years of software development experience.

Demonstrate 5+ years in technical program management, specifically collaborating with software engineering teams.

Proven experience managing programs across cross-functional teams, establishing processes, and coordinating release schedules.

Experience with project management disciplines, including scope, schedule, budget, quality, risk, and critical path management, is highly preferred.

Experience defining KPIs/SLAs for large-scale businesses and reporting to senior leadership is also a plus.