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Sr. Content Strategist, Technical Content Experience

Amazon

Sr. Content Strategist, Technical Content Experience

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$113,600 - $160,000

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Content strategy

Content management

Data analysis

Cross-functional collaboration

Governance frameworks

Communication

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 building ontologies, taxonomies, and semantic relation frameworks
  • Experience implementing change management successfully transitioning programs into large-scale operations
  • 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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About Amazon

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+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge