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Amazon Inc. seeks a Senior Product Leader to define the future of agentic shopping experiences for Alexa for Shopping.
You will own vision, strategy, and a multi-year roadmap across AI-driven customer automations and platform capabilities, partnering with science and engineering teams to push state-of-the-art interactions. You will hire, coach, and develop product leaders, set priorities across engineering, science, UX, and partner teams, and drive international expansion while delivering
Description
We are seeking a Senior Product Leader to build agentic shopping experiences on Amazon. Alexa for Shopping (AFS), formerly Rufus, is Amazon's Shopping AI, a high-visibility generative AI investment within the Stores business built on large language models (LLMs). Our vision is for AFS to be an always-on personal shopping agent that learns what matters to each customer, anticipates their needs, and acts on their behalf. Beyond responding to requests, AFS will proactively recognize opportunities to help, suggest timely next steps, and follow through on goals that unfold over days, weeks, or months.
If you are passionate about reinventing e-commerce, helping customers offload tedious shopping tasks to smart, autonomous AI, and building a team that does the same, this is a rare opportunity to define the future of agentic commerce at Amazon.
In this role, you will own the vision, strategy, and roadmap for AFS's agentic portfolio. The portfolio spans customer-initiated automations such as price and deal alerts and replenishment, proactive experiences where AFS recognizes opportunities to help, long-running goals that AFS follows through over weeks or months, and the platform capabilities that let teams across Amazon Stores build agentic experiences. You will lead a team of PM-Ts, each owning a set of features. You will set the portfolio's goals, decide where to invest, and hold the team to a high bar on customer outcomes. Success means customers save time, money, and effort, trust AFS to act within their instructions, and engage more, with progress measured in customer value per action.
To get there, you will shape the priorities of AFS Engineering and Science teams, pairing a clear product vision with rigorous technical execution. You will partner with multiple Applied Science and Engineering organizations to push new frontiers and build experiences that state-of-the-art models only now make possible. You will make data-driven portfolio decisions: which bets to scale, which to iterate, and which to retire, grounded in experiment results and customer signals. You will also hire, coach, and develop product leaders who invent novel LLM-driven interactions that balance technical feasibility with customer delight.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.