Zebra Technologies

Enterprise asset tracking and labeling solutions

Digital Content Specialist – Professional Senior

Content Design & StrategyConfirmed live in the last 24 hours

Full-timeGeorge Town, Penang, MalaysiaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Information Science, Information Management, or Computer Science (AI/Data Science track), or equivalent practical experience.
Three to five years of experience in content strategy, content operations, or knowledge management within an enterprise or high-volume support environment.
A solid understanding of how structured content and product information drive discoverability and self-service outcomes at scale within retail or e-commerce operations.
Hands-on experience with AI-powered content tools such as retrieval-augmented generation systems, copilots, or chatbots, and an understanding of how structured content and metadata influence answer quality and retrieval optimization.
Ability to write, test, and refine prompts and guidance for AI tools to improve how knowledge is surfaced in support experiences.
Experience executing within knowledge governance frameworks, applying content standards, metadata schemas, and taxonomy principles across large-scale repositories.
Experience using content analytics and performance signals, such as retrieval gaps or self-service impact, to identify issues and drive targeted improvements independently.
Working knowledge of search engine optimization and AI discoverability concepts, specifically generative engine optimization and answer engine optimization.
Strong technical writing skills and the ability to translate complex information into clear, user-friendly content.
Ability to provide direction to content owners and subject matter experts to ensure alignment with standards and timely execution of updates.
Formal or informal experience providing guidance to more junior team members or leading specific project workstreams.

Responsibilities

Implement, configure, and optimize knowledge and AI content tooling within assigned areas.
Identify tooling and process improvement opportunities based on performance data, and recommend enhancements with clear expected impact to improve content delivery.
Monitor AI content performance signals, including retrieval gaps and answer quality, and assess AI-generated responses for accuracy, grounding, and consistency.
Apply human-in-the-loop validation, direct corrective actions, and write, test, and refine prompts to improve how knowledge is surfaced.
Conduct regular audits to identify outdated or underperforming content, provide content owners and subject matter experts with prioritized direction on updates and fixes, and track resolution to ensure measurable improvement and alignment with defined standards.
Uphold content standards, metadata schemas, and taxonomy frameworks, identify gaps, and drive updates through appropriate governance channels.
Apply search engine optimization and AI discoverability principles, including generative engine optimization and answer engine optimization, to optimize retrieval; ensure content structures enable high-quality localization and flag systemic issues for resolution.
Partner with Product, Engineering, Content Management, Knowledge Management Operations, and Support Operations to ensure knowledge initiatives are accurate, timely, and contribute to support efficiency.
Validate that improvements result in better self-service success, reduced support friction, or an improved agent experience.
Provide day-to-day direction, guidance, and support to junior team members, ensure the overall quality of team output, and support their professional development in the digital content field.
Own defined workstreams end-to-end within assigned domains, including knowledge gap execution, AI performance monitoring, and prompt refinement; identify issues, prioritize actions, direct resolution, and validate outcomes in collaboration with Technical Content Management, Knowledge Management Operations, subject matter experts, and support teams.
Set priorities, define actions, and ensure results are delivered within assigned areas.

Desired Qualifications

Familiarity with Knowledge-Centered Service methodology.
Experience supporting localization quality and ensuring content structures enable effective translation across multiple languages.
Experience supporting AI-driven knowledge workflows, such as automated classification or large-scale content optimization.

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

Executes and continuously improves the tooling, processes, and AI initiatives that govern how Zebra’s support knowledge performs across self-service and AI-driven support experiences, with accountability for domain-level outcomes.

Owns defined workstreams end-to-end within assigned domains — including knowledge gap execution, AI performance monitoring, and prompt refinement — and operates as the primary driver of knowledge system effectiveness.

Works within frameworks established by the Content Strategy Lead and senior team members, translating strategy into execution by identifying issues, prioritizing actions, directing resolution, and validating outcomes in collaboration with Technical Content Management (TCM), Knowledge Management (KM) Operations, subject matter experts (SMEs), and support teams.

Owns outcomes within assigned areas, including setting priorities, defining actions, and ensuring results are delivered.

Key Responsibilities

Tooling & Process Enhancement:Implement, configure, and optimize knowledge and AI content tooling within assigned areas. Proactively identify tooling and process improvement opportunities based on performance data, and recommend enhancements with clear expected impact to deliver measurable improvements in content delivery.
AI Performance & Optimization:Independently monitor AI content performance signals—including retrieval gaps and answer quality—and assess AI-generated responses for accuracy, grounding, and consistency. Apply human-in-the-loop validation, direct corrective actions, and continuously write, test, and refine prompts to improve how knowledge is surfaced.
Knowledge Gap Execution & Content Direction:Drive the knowledge gap strategy by conducting regular audits to identify outdated or underperforming content. Provide clear, prioritized direction to content owners and SMEs on required updates and fixes, tracking resolution to ensure measurable improvement and alignment with defined standards.
Standards, Discoverability & Localization:Uphold content standards, metadata schemas, and taxonomy frameworks, identifying gaps and driving updates through appropriategovernance channels. Apply SEO and AI discoverability principles (GEO, AEO) to optimize retrieval, while ensuring content structures enable high-quality localization and flaggingsystemic issuesfor resolution.
Cross-Functional Collaboration & Validation:Partner with Product, Engineering, Content Management, KM Operation, and Support Operation teams to ensure knowledge initiatives are accurate, timely, and contribute to support efficiency. Continuously validate that improvements result in better self-service success, reduced support friction, or an improved agent experience.
Mentorship & Team Development:Provide day-to-day direction, guidance, and support to junior team members, ensuring the overall quality of team output and supporting their professional development within the digital content field.

Required Qualifications

Education:Bachelor’s degree in Information Science, Information Management, Computer Science (AI/Data Science track), or a related field, or equivalent practical experience.
Experience:3–5 years of experience in content strategy, content operations, or knowledge management within an enterprise or high-volume support environment.
Retail/E-commerce Domain Knowledge:Solid understanding of how structured content and product information drive discoverability and self-service outcomes at scale within retail or e-commerce operations.
AI & Systems Expertise:Demonstrated hands-on experience with AI-powered content tools (e.g., RAG, Copilots, or Chatbots). Must understand how structured content and metadata influence answer quality and retrieval optimization.
Prompt Engineering:Proven ability to write, test, and refine prompts and guidance for AI tools to improve how knowledge is surfaced in support experiences.
Content Governance:Experience executing within knowledge governance frameworks—applying content standards, metadata schemas, and taxonomy principles across large-scale repositories.
Data-Driven Improvement:Experience using content analytics and performance signals (such as retrieval gaps or self-service impact) to independently identify issues and drive targeted improvements.
SEO & Discoverability:Working knowledge of SEO and AI discoverability concepts, specificallyGEO andAEO.
Technical Writing:Strong technical writing skills with the ability to translate complex information into clear, user-friendly content.
Collaboration & Influence:Proven ability to provide direction to content owners and SMEs, ensuring alignment with standards and timely execution of updates.
Mentorship:Experience (formal or informal) providing guidance to more junior team members or leading specific project workstreams.

Nice to Have

Methodology:Familiarity withKnowledge-Centered Service (KCS)methodology.
Localization:Experience supporting localization quality and ensuring content structures enable effective translation across multiple languages.
Scale:Experience supporting AI-driven knowledge workflows, such as automated classification or large-scale content optimization.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

About the Company

Zebra Technologies

Enterprise asset tracking and labeling solutions

Zebra Technologies provides data capture and asset-tracking solutions for businesses. Its hardware includes barcode labels, printers, mobile computers, scanners, and RFID systems, paired with software to collect and share data so organizations can track assets, inventory, and people. The company differentiates itself with a long history in on-demand labeling and enterprise data capture, and by expanding through acquisitions (notably Motorola Solutions’ Enterprise business) to offer an integrated hardware-and-software portfolio for asset intelligence. Its goal is to give real-time visibility into assets and operations to improve decision-making, efficiency, and service levels.

Company size: 10,001+
Company stage: IPO
Headquarters: Lincolnshire, IL
Founded: 1969

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