Content Engineer, Technical Enablement

Apple • Austin, TX

1d

About The Position

Imagine what you could do here. At Apple we don’t just create products — we
create the kind of wonders that have revolutionized entire industries. It’s the
diversity of the people and their ideas that inspires the innovation that runs
through everything we do, from amazing technology to industry-leading
environmental efforts. Join Apple, and help us lead the future of innovation.
We're looking for an exceptional Content Engineer to play a key role in
architecting and building the next generation of our technical enablement and
certification program. You'll be employing innovative content models, emerging
GenAI technologies, and API-driven delivery to prepare our technical partners
for certification.

DESCRIPTION

In this role, you'll be a primary architect of our technical enablement content.
Your mission is to leverage source materials from documentation, subject matter
experts, and engineering teams and transform them into flexible and scalable
deliverables. You'll focus on the following key areas: Content Architecture &
Modeling: - Design and implement structured content models for all technical
enablement assets, including learning objectives, conceptual modules,
procedures, and interactive assessments. - Develop and manage content schemas,
taxonomies, and metadata frameworks to facilitate a personalized learning path,
efficient content retrieval, and certification governance. - Apply structured
content models to deconstruct and transform existing source materials into
modular segments for dynamic deliverables. Systems Integration & Workflow
Automation: - Integrate content with our core delivery platforms to provide
dynamic and intelligent content experiences. - Establish content quality and
consistency through standards, validation rules, and automation of content
transformation and delivery pipelines. - Use scripting and command-line tools to
build, maintain, and optimize content publishing and automation processes. -
Design and facilitate the technical workflow for localization, partnering with
vendors and internal teams to ensure efficient, scalable translation.
Collaboration & Support: - Collaborate with content strategists, subject matter
experts, engineering teams, and program managers to build, manage, and improve
our content systems, authoring tools, and publishing pipelines. - Act as key
technical partner for our content team, training them on structured authoring
and content modeling best practices. - Partner with our AI-strategy teams to
prepare and structure learning assets for adaptive learning and personalized
study experiences.

Requirements

• 5+ years of experience in content engineering, information architecture, or a similar technical role.
• Proven experience designing and implementing component-based content models and schemas.
• Deep understanding of taxonomy and metadata management principles.
• Experience with API-driven content delivery, proficiency with command-line interfaces, and familiarity with modern learning technology stacks.
• Excellent communication skills and technical literacy, with the ability to work in a highly collaborative, cross-functional environment.
• Proven ability to translate complex learning objectives and technical source material into structured content models and repositories.
• Outstanding attention to detail and passion for high-quality user experiences.
• BS in Computer Science, Technical Communication, Information Science, or equivalent practical experience.

Nice To Haves

• 8+ years of experience in content engineering, information architecture, or a similar technical role.
• Direct experience in a technical training, professional certification, or corporate enablement environment.
• Strong understanding of the Apple platform ecosystem and its use in an enterprise environment.
• Proficiency in scripting for building custom automation tools and managing content workflows.
• Experience engineering and managing technical content localization pipelines and working with translation systems.
• Experience with advanced search and personalization/adaptive learning platforms.
• MS in Computer Science, Technical Communication, Information Science, or equivalent practical experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level