Support day-to-day administration of our Learning Management System, including course setup, enrollments, user management, learning paths, and troubleshooting.
Responsibilities
Support day-to-day administration of our Learning Management System, including course setup, enrollments, user management, learning paths, and troubleshooting.
Manage courses and learning programs for multiple audiences, such as employees, customers, partners, and technical and non-technical roles, using audience-based access, visibility, and assignment rules.
Assist with data governance practices for learning data, including data quality checks, audits, retention, and consistent definitions across systems.
Build and maintain reports and dashboards on completions, engagement, compliance, and program effectiveness.
Partner with instructional designers, program managers, and business stakeholders to keep content organized, current, and aligned with audience needs.
Administers and maintains the DAM platform end to end, including configuration, asset intake, cataloging, permissions, distribution, retention, and archival, and resolves issues with limited oversight.
Compensation
$75,400—$94,300 USD
Responsibilities
Administers and maintains the DAM platform end to end, including configuration, asset intake, cataloging, permissions, distribution, retention, and archival, and resolves issues with limited oversight.
Develops, documents, and maintains project-level and asset-level metadata standards, taxonomies, controlled vocabularies, and naming conventions, and leads periodic reviews to keep them current.
Establishes and applies quality-review criteria for incoming assets, evaluating completeness, duplication, and compliance, and confirms required metadata and usage information are captured before publication.
Plans and conducts audits of asset collections to identify, correct, retire, or archive inaccurate, duplicate, or obsolete assets, and recommends corrective actions to content owners.
Leads the ingestion, normalization, and rationalization of legacy or acquired asset collections, coordinating timelines and requirements with contributing teams.
Requirements
Associate's degree or higher in library science, information science, information management, digital media, archives, communications, marketing technology, or a related field
Senior HR Knowledge Product Manager leading strategic initiatives to improve HR knowledge management and employee self‑service experiences.
Compensation
The base salary range for this role is $141,000 - $225,000.00.
Responsibilities
Lead execution and continuous improvement of the HR knowledge management roadmap
Develop and maintain governance standards, content guidelines, metadata practices, taxonomy, and lifecycle processes
Partner with HR Centers of Excellence, Product, Engineering, Legal, Compliance, and Communications to implement knowledge management capabilities
Translate business requirements into platform enhancements, workflows, search improvements, virtual agent capabilities, and AI‑enabled knowledge solutions
Establish and monitor operational metrics, including knowledge health, search effectiveness, content quality, self‑service resolution, and user satisfaction
Requirements
Bachelor's degree in Information Science, Communications, Human Resources, Business, Technology, or a related field
The Senior Manager, Knowledge Management leads the strategy, architecture, governance, and transformation of knowledge across Marketplace Seller Support and Risk Operations, building a globally scalable, AI-enabled knowledge ecosystem.
Responsibilities
Define and execute a global knowledge management strategy, operating model, and roadmap across Seller Support and Risk Operations
Create and maintain high-quality technical documentation for complex products and solutions, lead documentation initiatives, partner with product teams, drive content quality and governance, design AI-ready content, optimize for search and AI-powered experiences, and identify opportunities to improve content operations.
Compensation
The target salary range for this position is 129,200 - 167,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
Responsibilities
Create and maintain high-quality technical documentation for complex products and solutions.
Lead documentation initiatives from planning through publication, managing priorities, schedules, stakeholders, and deliverables.
Partner with product teams to develop accurate, customer-focused content.
Drive content quality, consistency, governance, and standards across documentation portfolios.
Design and manage structured, reusable, AI-ready content that improves discoverability, search, and knowledge reuse.
Requirements
Degree in English, Technical Writing, Computer Science, Information Science, or a related field.
Nice to have: AI-enabled content workflows
Distinguished Engineer - Data, Knowledge, & AI Platforms - ITC
Define and maintain enterprise information architecture, content models, taxonomy standards, and metadata frameworks across customer-facing content assets.
Lead the implementation, adoption, and governance of DITA structured authoring methodologies and associated content standards.
Design reusable content architectures that support delivery of technical documentation, performance support content, FAQs, AI-enabled experiences, and context-sensitive help.
Configure, develop, and maintain DITA elements, specializations, schemas, publishing rules, and content validation processes.
Partner with engineering, product management, and technical subject matter experts to analyze product architectures and define information structures that accurately represent product functionality, configuration, installation, and service requirements.
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