Description

Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines Seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale — owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.
Key job responsibilities

• Own the product vision, strategy, and roadmap for a key Seller Assistant capability area.
• Define and ship agentic experiences — reasoning, planning, memory, context engineering — that solve hard seller problems at scale.
• Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on.
• Design rigorous evaluation frameworks — automated and human-in-the-loop — to measure agent quality, accuracy, and business impact.
• Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team.
• Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality.


About the team
Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce — not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, he latest breakthroughs in science and engineering into capabilities that sellers rely on every day.