Job ID: | Amazon.com Services LLC
Amazon Seller Assistant is our flagship GenAI‑first, multi‑agent system that reimagines the seller experience. Our vision is to provide each seller with a proactive, autonomous 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. The system serves millions of sellers on Amazon and serves billions of customers worldwide.
Key Responsibilities
Own the product vision, strategy, and roadmap for a key Seller Assistant capability area.
Define and ship agentic experiences—reasoning, planning, memory, and 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 the team.
Drive cross‑functional alignment across science, engineering, UX, and business teams to deliver with speed and quality.
About the team
The Amazon Seller Assistant team operates at the very frontier of agentic AI and commerce, shipping production‑grade, multi‑agent systems used by millions of sellers worldwide. The team moves with the urgency of a startup while leveraging the resources of the world’s most customer‑obsessed company.
Basic Qualifications
2+ years of data science experience.
3+ years of experience with data‑querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, MATLAB).
3+ years of experience with machine‑learning/statistical modeling and associated tools and techniques.
1+ year of experience working with or evaluating AI systems.
Master’s degree in STEM (Science, Technology, Engineering, or Mathematics) or equivalent experience.
Preferred Qualifications
Knowledge of machine‑learning concepts and their application to reasoning and problem‑solving.
Experience in a ML or data‑science role at a large technology company.
Experience defining and creating benchmarks for assessing GenAI model performance.
Experience working on multi‑team, cross‑disciplinary projects.
Experience applying quantitative analysis to solve business problems and make data‑driven decisions.
Strong written and verbal communication skills.
Equal‑Opportunity Statement
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need accommodations during the application and hiring process, please visit for more information.
Compensation
Base salary range: USA, WA, Seattle – 136,000.00 – 184,000.00 USD annually. The package includes sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors such as experience, qualifications, and location.
Posted
May 1, 2026 (Updated about 8 hours ago)
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