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Amazon
Amazon

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Sr. Content Strategist, Technical Content Experience

職種マーケティング
経験シニア級
勤務地Arlington, Vatican City, United States
勤務オンサイト
雇用正社員
掲載2週間前
応募する

Join us on the Content Excellence team as a Senior Content Strategist and help define the standards and frameworks that govern AWS technical content.

At AWS, content consistency doesn't happen by accident; it requires clear specifications for how content is structured, organized, evaluated, and managed. As AI transforms content creation and management, these foundational rules become essential for authors and machines alike.

As part of the Technical Content Experience organization, the Content Excellence team is looking for a strategic thinker to define what good content looks like, and then partner with platform teams, content creators, and AI systems to ensure those standards are understood, adopted, and applied. The right candidate thinks in frameworks and systems and influences through clarity and collaboration. They excel at translating ambiguity into actionable specifications that other teams operationalize.

This role requires exceptional communication skills, strong analytical thinking, and the ability to influence without authority.

Key job responsibilities
-Define the content ecosystem strategy that outlines what customer needs AWS content must serve, how properties should be organized, and what content should be single-sourced.
-Create content architecture standards. Define the categories, taxonomy, and organizational structures that enable unified and intelligent content management.
-Manage the content model. Specify content types, components, and metadata that authors and AI systems use as their foundation.
-Establish content patterns. Document assembly rules for each content type so anyone can create or generate compliant first drafts.
-Maintain the Content Design System as the single source of truth for how AWS content should be created and managed.
-Define quality criteria that distinguishes good content from bad, enabling data-driven evaluation and routing decisions.
-Specify content lifecycle stages, triggers, and evaluation criteria that enable proactive management at scale.
-Define gold-standard criteria for AI training corpus curation.
-Drive alignment across stakeholders on definitions, criteria, and specifications.

About the team
The Content Excellence team ensures every piece of AWS technical content delivers a predictable, high-quality experience aligned to customer needs and business outcomes. We define the standards that make this possible at scale: content ecosystem strategy, content architecture, content models, content patterns, quality definitions, governance criteria, lifecycle frameworks, AI training corpus criteria, and the Content Design System.

Basic Qualifications

  • 5+ years of digital content management, communications, or content strategy experience
  • Experience using data and metrics to determine and drive improvements
  • Experience using content management systems and content tools
  • Experience designing, planning, and delivering content solutions that meet the needs of technical business customers
  • Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship
  • Experience establishing governance frameworks or quality criteria for content at scale

Preferred Qualifications

  • Experience implementing change management successfully transitioning programs into large-scale operations
  • Experience building ontologies, taxonomies, and semantic relation frameworks
  • Experience defining requirements for AI-assisted content systems
  • Understanding of content lifecycle management frameworks
  • Experience rationalizing or consolidating fragmented content ecosystems
  • Experience documenting standards, patterns, or guidelines for broad organizational adoption
  • Familiarity with structured content concepts (DITA, component content management, content reuse)

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, VA, Arlington - 113,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 113,600.00 - 160,000.00 USD annually

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Amazonについて

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+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

10件のレビュー

3.4

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.0

キャリア

3.8

経営陣

2.7

65%

知人への推奨率

良い点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

改善点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

給与レンジ

4件のデータ

L2

L6

L3

L4

L5

L2 · Marketing L2

0件のレポート

$127,325

年収総額

基本給

$50,930

ストック

$63,663

ボーナス

$12,733

$89,128

$165,523

面接レビュー

レビュー6件

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 17%

ネガティブ 83%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge