Prototype and Model Semantic Experiences: Rapidly prototype user scenarios that show how well-structured knowledge transforms AI interactions. Turn abstract semantic concepts into tangible agent behaviors that solve real business problems. Build Knowledge Architectures that Scale: Define ontologies and agent playbooks that reflect how businesses actually work. Structure Dataverse schemas and entity relationships to make data semantically accessible and actionable. Make Complexity Clear: Write interface copy, system messages, and agent responses that make sophisticated semantic concepts feel intuitive. Bridge the gap between technical capability and human understanding. Drive Cross-Functional Impact: Partner closely with engineers, product managers, and domain experts to ensure semantic models are both technically feasible and genuinely useful. Influence architectural decisions with user-centered thinking. Establish Content Governance: Create and maintain style guides, content libraries, and governance frameworks that keep semantic assets consistent, accurate, and scalable as the platform grows. Ground Decisions in Research: Conduct user research and analyze feedback to continuously refine semantic structures. Validate that your models actually help users and agents accomplish their goals. Champion Accessibility: Ensure all semantic content and interfaces meet accessibility standards and reflect inclusive design principles.
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Job Type
Full-time
Career Level
Principal
Number of Employees
5,001-10,000 employees