Description

Alexa for Shopping (Rufus) is Amazon's generative AI-powered shopping assistant designed to help answer a variety of shopping-related questions. Rufus makes it easy for customers to find and discover the best products to meet their needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. We are searching for pioneers who are passionate about technology, innovation, and customer experience to join the Rufus team.

Join us as a Principle Technical Program Manager on the Rufus team, where you'll drive the delivery of generative AI experiences used by millions of Amazon customers worldwide. This role offers an exciting opportunity to lead programs at the intersection of large language models and shopping - coordinating across science, engineering, product, and design to ship novel customer experiences at Amazon scale.

In this role, you'll own end-to-end program delivery of new conversational customer experiences and the platforms that bring Rufus to life across Amazon surfaces. You'll work alongside software engineers, product managers, scientists and designers to coordinate and ship features that fundamentally change how customers shop. This is an ideal opportunity for TPMs who are passionate about new AI customer experiences and want to drive impact on a flagship customer-facing generative AI product.

If you are thrilled about delivering customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.

Key job responsibilities
Key job responsibilities
• Drive the end-to-end delivery of large-scale programs that help the organization meet its long-term goals.
• Partner with technical, and business stakeholders to align on priorities, drive consensus, and deliver results at scale.
• Collaborate with science, engineering, product, and UX design to implement scalable, and efficient solutions to key customer problems.
• Define KPIs and metrics to measure success, identify areas for improvement and provide actionable updates to leadership through detailed reporting and insights.
• Act as the key connection point between engineering, business teams, ensuring alignment, effective communication, and seamless execution.