Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. 

About the Role 

Teradata is seeking an AI-first Senior Product & Conversational Designer to lead the creation of experiences that serve complex enterprise personas, from platform administrators to data leaders who need strategic visibility into consumption, governance, security, and business value realization across the enterprise platform.

You’ll help shape enterprise-grade governance and observability workflows that not only surface system metrics but connect them to business impact and confident action. This role contributes directly to how humans and AI collaborate across our enterprise-scale data platform, delivering intuitive, accessible experiences that make complex tasks simple and powerful.

You’ll partner with product, design, information architecture, engineering, and AI stakeholders to craft experiences across regulated and high-stakes industries, where precision, trust, and compliance aren’t negotiable. You’ll design context-aware, human-centered experiences that span GUI, CLI, APIs, and conversational interfaces.

At the Senior level, you will own end-to-end workflows for a product area, solve complex interaction problems, and elevate craft through strong systems thinking, while contributing to shared patterns and standards.

Key Responsibilities 

Own end-to-end product experience design for a core domain 

- Own product UX for core platform experiences, designing seamless handoffs between data practitioners, administrators, and platform decision makers—translating insights into actions and shaping moments that tie tasks to feature activation, resource expansion, and spend decisions.

- Design complete workflows for complex tasks within your product area, balancing usability, scalability, and technical constraints in data-heavy or AI-driven contexts.

- Prototype in Figma and iterate rapidly using clickable UI prototypes and conversational artifacts (scripts, dialogue maps, prompt sets). Collaborate closely with PM and engineering and communicate feasibility and implementation constraints clearly.

- Define interaction models for data-heavy and AI-driven workflows, anticipating edge cases, error states, and usability risks.

Design conversational + agentic AI experiences

- Design conversational and agentic AI experiences: create conversation flows, dialogue maps, and structured prompts for assistants and multimodal product experiences.

- Contribute to prompt libraries, intent taxonomies, and multimodal conversational behaviors that scale across the platform and accelerate consistent delivery.

- Analyze and improve AI interactions: review analytics, transcripts, and user feedback to identify opportunities to improve conversation quality, task success, and accessibility; experiment, evaluate AI responses, and iterate based on data.

Create clear UX writing + content patterns that build trust and comprehension 

- Craft UX writing and microcopy across the product: labels, system messages, onboarding flows, help text, and error states—ensuring clarity, accessibility, and enterprise-ready terminology.

- Apply and help evolve voice, tone, persona, and terminology guidance to ensure consistent conversational behavior across UI + assistant surfaces.

- Shape onboarding experiences and best-practice guides that accelerate time to value and help enterprise users get value from Teradata quickly.

- Conduct content-focused validation (e.g., comprehension checks in usability testing) and partner with Research and Analytics to measure content effectiveness (task success, time-to-value, trust signals).

Collaborate across functions and raise craft quality 

- Collaborate across teams—product designers, content designers, conversational AI specialists, technical writers, engineers, researchers, and ML partners—participating in critiques and contributing to shared guidelines and best practices.

- Help define UX observability metrics (task success, adoption, trust signals) and iterate based on data-informed insights, including AI and conversational quality signals.

- Mentor and support peers and junior designers through critiques, working sessions, and quality feedback—raising craft through influence and example.

What We’re Looking For 

- 8+ years in product/UX design, with 1–3+ years focused on AI-driven and/or conversational experiences—ideally in enterprise-scale platforms.

- Strong design and prototyping fluency in Figma; able to express interaction thinking through UI prototypes and conversation flows.

- Demonstrated ability to own end-to-end workflow design for complex tasks, simplifying complexity through systems thinking and solid interaction craft.

- Demonstrated conversational design craft: conversation mapping, structured prompts, UX writing/microcopy, and the ability to simplify complex ideas into clear, helpful interactions.

- Experience developing messaging and experiences for complex technical products and multiple personas (enterprise/B2B), with language as a primary design lens.

- Portfolio showing strategic thinking and clear language that moved key product or business metrics (adoption, task success, time-to-value, trust).

- Track record of building from scratch and problem-solving in ambiguity; able to rethink and redesign systems with measurable user and business outcomes.

Preferred Qualifications 

- Experience designing AI and with AI, including human-in-the-loop workflows and agentic interaction patterns. 12 

- Experience working on SaaS, enterprise, or B2B products.

- Familiarity with conversational design tools and methods (e.g., conversation mapping, prototyping tools such as Voiceflow/Botmock, plus Figma).

- History conducting user research and customer interviews to shape UX strategy, and using analytics/transcripts to iteratively improve AI interactions.

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