AI Enablement & Operations Specialist, Amazon Shipping

Amazon Shipping's Revenue Excellence and Enablement team is transforming how our commercial teams work by leveraging artificial intelligence to simplify processes, improve decision-making, and accelerate growth. As we expand AI-powered capabilities across our U.S. Commercial organization, making sure these tools are accurate, reliable and widely adopted is critical to realizing their value.

We are looking for an AI Enablement & Operations Specialist to join the team that leads AI initiatives for Amazon Shipping's commercial organization. AI program owners, Product and technical teams set the AI strategy, roadmap and solution design. This role extends the team's capacity: you will own the day-to-day operational mechanisms that keep AI tools running well, including knowledge base operations, issue triage and root-cause analysis, quality testing, adoption reporting and user enablement, so program owners can focus on building and scaling new capabilities.

The ideal candidate is a technically curious, analytical problem solver who enjoys working with emerging technologies, digs into issues to find root causes, and turns user feedback into practical improvements. You are comfortable working across multiple tools and data sources, managing requests from several stakeholders at once, and working independently while seeking direction when needed.

You will partner closely with Sales Operations, Product, Business Development and technical teams to support the rollout and ongoing effectiveness of AI-powered commercial capabilities.

Key job responsibilities

• Own day-to-day AI operations across commercial AI tools. Serve as the operational partner to AI program owners and Product. Set up intake, milestones and success metrics for the operational work you own, and deliver against program goals.
• Maintain and expand AI knowledge bases. Organize, validate and update the commercial, product and operational content used by AI assistants and agents, working with content owners and SMEs to keep it accurate and current.
• Investigate and resolve AI tool issues. Triage inaccurate responses, data inconsistencies and workflow failures, perform root-cause analysis, document findings, and drive resolution with technical teams through to verification.
• Run testing and quality assurance. Build and run test cases, validate outputs, conduct user acceptance testing for new capabilities and releases, log defects and confirm fixes.
• Monitor adoption and drive enablement. Track usage and adoption, identify engagement gaps across teams, and build user communications, guides and training resources that help sellers and BDs use AI tools effectively.
• Own operational reporting and feedback mechanisms. Maintain dashboards, issue tracking and user feedback loops, and turn insights into clear recommendations for program owners and Product.
• Simplify processes and drive execution. Triage inbound Asana requests, gather and document business requirements, and assess impact to inform prioritization and decisions by program owners and Product. Improve and automate repetitive operational workflows, prioritize competing requests, spot risks early, make trade-offs between time, quality and resources, and escalate when needed. Provide clear status updates and help mentor teammates.

Basic qualifications

- Experience with sales CRM tools such as Salesforce or similar software

- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field

- 5+ years of Microsoft Excel experience

- Experience defining, refining and implementing sales processes, procedures and policies or equivalent

- Experience working with or evaluating AI systems

- 3+ years of sales ops experience or related.

- English proficiency required.

Preferred qualifications

- 5+ years of finance, business management and sales operations experience

- Experience working within a high-growth, technology company

- Experience leveraging AI-powered tools or data analytics platforms to drive quality improvements, root cause analysis, or process optimization

- Experience with sales enablement platforms

- Experience building and designing test cases including knowledge of test methodologies

- Experience with workflow automation tools, APIs, or low-code/no-code automation platforms

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