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Amazon
Amazon

Work hard. Have fun. Make history.

Employee Amplification Specialist , Amazon Attraction, Influence, and Marketing

직무마케팅
경력미들급
위치Seattle, WA, United States
근무오피스 출근
고용정규직
게시2주 전
지원하기

At Amazon, we are reinventing how to attract and hire exceptional talent at scale. The Attraction, Influence, and Marketing (AIM) organization is seeking a high-judgment, well-organized, self-motivated, and creative content strategist to power the content engine behind Amazon's employee amplification program. This role will own all content creation, messaging development, and quality across the program, ensuring every piece of employee-generated content is on-brand, policy-compliant, and built to drive measurable hiring outcomes.

As a successful candidate, you'll have a proven track record of creating compelling content that moves people to act — not just engage. You should live and breathe content across formats (LinkedIn posts, executive thought leadership, campaign messaging, training materials) and understand how to write for different voices while maintaining brand consistency. You're excited about the intersection of AI and content creation — using generative AI tools to build scalable content systems while preserving authenticity and human voice. You should have strong creative instincts paired with analytical rigor, using performance data to continuously refine what works. This is a role that requires both storytelling craft and operational discipline — on a team that works hard and has fun.

Key job responsibilities
Content Strategy & Library Management: 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.

AI Content Development: 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.

Campaign Content: 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.

Executive Messaging: 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.

PR Content Coordination: 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.

Self-Serve Templates & Training: Create and maintain self-serve content resources that enable broad employee participation — posting templates, best practice guides, LinkedIn optimization tips, and training modules. Reduce the barrier to safe participation for any Amazon employee.

Content Localization: Adapt content and messaging for new regional markets as the program expands, ensuring cultural relevance and local hiring priority alignment while maintaining global brand consistency.

Measurement & Optimization: Track content-level performance metrics — engagement rates, click-through rates, and conversion performance by content type and format. Surface insights that inform strategy refinements. Identify top-performing patterns and scale them.

Cross-Functional Partnership: Partner with Employer Brand, Creative Services, and Organic Social teams to ensure program content is consistent with Amazon's broader talent marketing creative direction and complements rather than competes with other channels.

About the team
Amazon's Attraction, Influence, and Marketing organization is a dynamic team of marketing professionals dedicated to attracting and engaging top talent across Amazon's diverse business segments. The Employee Amplification team operates at the intersection of employee voice and talent brand, building the mechanisms that transform authentic employee storytelling into a measurable hiring channel. We're passionate about proving that the recruiting tool Amazon has is the people who already work here — and we're building the content engine to activate that at scale.

Basic Qualifications

  • 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

Preferred Qualifications

  • 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 82,700.00 - 141,100.00 USD annually

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Amazon 소개

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

10개 리뷰

3.4

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.0

커리어

3.8

경영진

2.7

65%

지인 추천률

장점

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

단점

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

연봉 정보

4개 데이터

L2

L6

L3

L4

L5

L2 · Marketing L2

0개 리포트

$127,325

총 연봉

기본급

$50,930

주식

$63,663

보너스

$12,733

$89,128

$165,523

면접 후기

후기 6개

난이도

4.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 17%

부정 83%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge