Product Manager – Content Marketing Capabilities – Cross Channel Marketing (XCM), Amazon EU, XCM Content Marketing

Overview

In this role you will drive the development of our Content Marketing and AI Enablement capabilities, delivering automation and AI-enabled solutions at scale. You will own the workstream roadmap, translating end-user needs into features and success criteria, and coordinating with internal teams and external vendors. Hands-on prototyping with AI tools will validate feasibility before broader engineering work. You’ll connect end users with technology, shaping workflows to improve content quality, velocity, and impact across campaigns.

Responsibilities

• Define product requirements, user stories and success criteria for content capability tools across the production cycle
• Own the delivery roadmap for your workstream with prioritization based on impact and feasibility
• Shape features, UX, and acceptance criteria by working backwards from end-user pain points
• Develop and test AI-enabled products and workflows; prototype with AI coding assistants to validate feasibility
• Run pilots and beta programs; measure adoption and iterate before scaling
• Identify friction points in real workflows and codify learnings into repeatable patterns
• Manage delivery through external vendors and internal teams, ensuring timelines and quality
• Collaborate with Creative Operations, Content Delivery and Creative teams to integrate tools into workflows
• Act as the bridge between end users, capability leads, and vendor teams
• Establish success metrics and measurement frameworks; surface feature requests; maintain documentation including specs and vendor SOWs

Key requirements

• Experience delivering results for large, cross-functional initiatives/projects
• Experience developing, deploying and managing AI products at scale
• 4–6 years of product management in marketing, content, or technology environments
• Hands-on experience building with AI tools using AI coding assistants, LLMs, or automation platforms to prototype solutions
• Experience translating strategic requirements into product specs, workflows and delivered solutions
• Strong execution skills with attention to detail and bias for action

• Cross-functional collaboration
• Stakeholder management
• Bias for action
• AI tooling and prototyping with AI coding assistants (e.g., Kiro, Claude)
• LLMs and automation platforms for rapid prototyping
• Workflow orchestration and process automation

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