Hero Image

AnitaB.org Talent Network

Connecting women in tech with the best professional opportunities!

Software Development Manager, Rufus Experience Science

Amazon

Amazon

Software Engineering
Palo Alto, CA, USA
Posted on Mar 26, 2026

Description

Rufus Experience Science team advances Amazon’s Shopping AI assistant, Rufus, to make shopping more effortless, inspiring, and delightful for customers. As a Software Development Manager, you will lead a team of Software Development Engineers and Machine Learning Engineers, collaborating closely with Applied Science Managers, Product Managers, and Technical Program Managers. Together, you will develop and optimize customer-facing Rufus experiences such as Rufus Conversation, Rufus Related Questions and Rufus Autcomplete, and AI Overview, etc. . You will also drive research and innovation in multi-agent orchestration to ensure every interaction with Rufus is helpful, informative, and enjoyable.

Key job responsibilities
You independently manage an engineering team working to solve complex inference and system problems that have a high business and customer impact. As a manager, you are accountable for the structure and strategic direction of your team, the artifacts they provide, and any technologies owned. You Partner with your stakeholders and leadership to define the science vision for your team. You will bridge the gap between engineering, science and business, and you will establish structures that enable your team to consistently deliver. You build a team that delivers successfully without you, and you are strategic about the team members' growth and provide those interested with opportunities to demonstrate higher level role scope, impact, complexity and leadership. You drive reasonable schedules and when needed, readjust priorities to ensure the right outcomes. You define audit mechanisms and metrics that enable you to quickly explain your team’s performance and any variance against goals. You will also lead your team to leverage the broader Amazon engineering community, and build a team culture that focuses on bringing models to production, removing road blockers, and delivering more results for Amazon customers.