Employee Amplification Specialist , Amazon Attraction, Influence, and Marketing

Amazon Amazon · Big Tech · Seattle, WA · Human Resources

This role focuses on content strategy and development for Amazon's employee amplification program, with a significant emphasis on leveraging and refining generative AI tools for content creation. The specialist will own content creation, messaging, and quality, ensuring alignment with brand guidelines and driving hiring outcomes. Key responsibilities include managing the content library, developing AI content prompts and outputs, creating targeted campaign content, crafting executive messaging, coordinating PR content, developing self-serve templates, localizing content, and measuring performance. The role requires a blend of creative storytelling, operational discipline, and analytical rigor, using AI tools to build scalable content systems while maintaining authenticity.

What you'd actually do

  1. Own the employee amplification content library. Develop and maintain LinkedIn-ready post templates, messaging frameworks, talking points, and storytelling guides aligned to Amazon's Employee Value Proposition (EVP), inclusive language standards, and employer brand guidelines. Continuously refresh content based on performance data, hiring priority shifts, and platform changes.
  2. Partner with the Tech team to develop, test, and refine AI-generated content prompts and outputs for the program's drafting tools. Define quality standards for AI-generated posts. Create prompt frameworks that produce on-brand, policy-compliant content across different role types and talent audiences. Build feedback loops that improve AI content quality over time.
  3. Create targeted, requisition-aligned LinkedIn content for hiring-aligned activation campaigns. Develop content packages for priority domains that include role-specific posts, team culture narratives, and hiring manager talking points. Ensure all content is pre-approved and pre-staged in the distribution platform before activation windows open.
  4. Develop messaging frameworks and suggested content for executive thought leadership. Create talking points that align executive voices with target talent segments. Ensure executive content builds credibility with passive talent markets without reading as promotional.
  5. Own the operational PR partnership for program content — day-to-day messaging alignment, content approval workflows, and coordination on earned media amplification. Partner with PR and Executive Communications to ensure messaging aligns with Amazon's broader corporate narrative. Implement guardrails and escalation paths for sensitive content.

Skills

Required

  • 4+ years of professional non-internship marketing experience
  • Experience using data and metrics to drive improvements
  • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
  • Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion
  • Experience producing marketing promotional material for Owned & Operated channels
  • Experience in brand identity and voice development
  • Experience creating brand marketing content
  • Bachelor's degree
  • Strong writing and editing skills with the ability to adapt tone and messaging for different audiences

Nice to have

  • Experience using customer research, hard data and metrics to back up assumptions, generate forecasts, and assess the efficacy of marketing programs
  • Experience developing executive thought leadership content or ghostwriting for senior leaders and partnering with internal PR teams

What the JD emphasized

  • AI-generated content prompts and outputs
  • quality standards for AI-generated posts
  • prompt frameworks that produce on-brand, policy-compliant content
  • feedback loops that improve AI content quality over time
  • Implement guardrails and escalation paths for sensitive content

Other signals

  • using generative AI tools to build scalable content systems
  • Partner with the Tech team to develop, test, and refine AI-generated content prompts and outputs for the program's drafting tools
  • Define quality standards for AI-generated posts
  • Create prompt frameworks that produce on-brand, policy-compliant content
  • Build feedback loops that improve AI content quality over time