Our company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll Do
Experience Platform Strategy & Roadmap
- Define the vision, principles, and multi-quarter roadmap for the experience platform, including the design system, interaction standards, and enablement model.
- Determine when a request should become a platform standard versus a local experiment, with a clear path for graduation into shared system patterns.
- Maintain a prioritized backlog of foundational patterns, AI-native primitives, and design-to-code capabilities.
- Benchmark competitor AI studios and agentic platforms to ensure the system remains world-class.
AI-Native Interaction Standards
- Architect and standardize interface patterns for Tera and other agentic workflows.
- Define patterns for:
- Agent-to-human handoffs
- Confirmations and override controls
- Streaming states
- Latency handling
- Progress feedback across short and long “thinking” periods
- Explainability and transparency patterns, including what happened, why it happened, what changed, and what the user should do next
- Trust and safety guardrails, including uncertainty cues, reversible actions, and safe defaults
- Feedback loops that improve agent quality through structured user feedback and telemetry hooks
Experience Contracts & Governance
- Create and maintain experience contracts that define:
- Required behaviors of shared patterns
- Usage rules, including when to use a pattern, when not to use it, and acceptable variation boundaries
- GA-readiness expectations for system-dependent experiences, including quality bars, accessibility, localization, and instrumentation
- Run lightweight governance processes to prevent experience fragmentation across the product suite.
- Guide patterns through proposal, review, ratification, release, and adoption tracking.
- Conduct design system reviews on in-flight projects to protect UX integrity and ensure alignment with shared standards.
Pattern Authorship & Source of Truth
- Own living guidelines and documentation that are clear, concise, and decision-oriented, explaining both the “why” and the “how.”
- Define and maintain standard artifacts such as:
- Pattern specifications
- Do/don’t usage rules
- Interaction states
- Accessibility requirements
- Implementation notes
- Maintain semantic consistency across the suite, including naming conventions, terminology, and interaction language.
Design-to-Code Pipeline & Tooling Operations
- Ensure Figma libraries are scalable, organized, and synchronized with code repositories.
- Partner with engineering to deliver production-grade components, including APIs, props, and tokens, that faithfully represent design intent.
- Own versioning, publishing cycles, and release communications for design system updates.
- Minimize breaking changes and manage migrations with clear rollout plans.
Developer Experience Enablement
- Treat the design system as a product, with developers as primary users.
- Optimize component packages and APIs for fast assembly and predictable behavior.
- Provide templates, starter kits, and reference implementations for common AI workflows.
- Improve discoverability through usage guidance, examples, searchable documentation, and copy/paste patterns.
Evangelism, Education & Adoption
- Lead office hours, training sessions, and internal coaching for product managers and engineers.
- Create demos and “what’s possible” tours that show teams how to build complex AI Studio experiences using system components.
- Drive adoption through enablement rather than policing by removing friction, clarifying guidance, and making the right path the easiest one.
Scope & Operating Boundaries
To avoid ambiguity, this role does not own:
- Feature roadmaps for individual products or vertical teams
- Product-specific business logic, backend services, or domain rules
- Revenue targets, customer commitments, or release dates for vertical products
- Day-to-day delivery execution for individual product pods
This role influences these areas by defining shared patterns, standards, and contracts, but does not replace vertical product management ownership.
Key Artifacts & Outcomes
You will produce and maintain:
- Experience platform roadmap and prioritized backlog
- Pattern specifications, including states, rules, accessibility guidance, and content guidance
- Experience contracts and parity rules
- Component readiness criteria and release notes
- Reference implementations, starter kits, and demos
- Adoption dashboards and system health reports
Success Measures
Success in this role will be measured through:
- Adoption and reuse of design system components versus custom overrides
- Pattern reuse across pods and reduction of one-off implementations
- Reduction in time from mockup to production
- Reduction in UX rework caused by inconsistency or unclear guidance
- Frequency and impact of design-related breaking changes
- Component and API usability scores from internal developer feedback
- Adoption of AI-native patterns such as streaming states, trust patterns, and handoff flows
- Quality signals from AI interaction feedback loops, including reduced confusion and improved perceived trust
- Documentation search success, clarity, and satisfaction
Who You’ll Work With
- Product managers across vertical product teams
- UX and design leaders
- Design system contributors and content/design operations partners
- Front-end and UI engineering teams
- Platform and agent teams supporting AI-native experiences
- Internal stakeholders responsible for onboarding, developer enablement, and product delivery
This role operates horizontally across the organization and serves as a key partner to teams building across the platform, helping them move faster while maintaining consistency and system integrity.
What Makes You a Qualified Candidate
- Significant experience in product management, experience platform leadership, design systems, or a closely related role
- Proven experience defining and scaling reusable patterns, platform standards, or shared UX capabilities across multiple teams or products
- Experience partnering closely with engineering to translate design intent into production-ready components and systems
- Demonstrated ability to influence cross-functional outcomes in a matrixed organization without direct authority
- Strong understanding of how to govern shared systems while still enabling innovation and team autonomy
- Experience creating clear documentation, usage standards, and implementation guidance for broad adoption
- Familiarity with release management, versioning, and operational rigor for shared platform capabilities
- Strong communication skills and ability to educate, coach, and align technical and non-technical stakeholders
What You’ll Bring
- Systems thinking — you see reusable primitives and scalable experience patterns, not isolated UI solutions
- AI literacy — you understand the UX implications of LLMs and agentic systems, including non-linear interaction flows, latency, uncertainty, and trust
- Technical fluency — you are comfortable discussing tokens, props, component APIs, and design-to-code translation with engineering partners
- Experience design judgment — you know how to define patterns that balance usability, flexibility, speed, and consistency
- Developer empathy — you treat internal builders as users and optimize for clarity, predictability, and implementation speed
- Educational charisma — you can coach, teach, and influence in a way that makes adoption feel empowering rather than mandated
- Platform mindset — you understand how to build horizontal systems that enable multiple products and teams at scale
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