Senior UX Designer, Appnovation

• Experience: 4-6 years of progressive UX design experience with a track record of contributing to high-impact digital products
• AI & Prototyping Tools: Solid experience working with AI-driven design tools and platforms, with a growing understanding of how to leverage them for rapid prototyping
• Conversational UX: Experience designing Conversational UX (chat and/or voice) components, including dialog flows, conversation state, and repair/fallback patterns
• Agentic AI: Exposure to designing Agentic AI workflow components (systems that take actions via tools/functions), including human-in-the-loop controls and safe failure modes
• Mindset: An "AI-first" mindset with a strong willingness to adopt augmented workflows to accelerate delivery cycles
• Agile Delivery: Experience working within fast-paced, iterative environments, contributing to MVPs and proof-of-concepts under tight deadlines
• Design Systems & Standards: Experience contributing to design systems, ensuring high-quality design execution and WCAG 2.1 AA accessibility compliance
• Portfolio: A portfolio demonstrating system-level thinking, AI-powered experiences, and rapid prototyping techniques

Desirable

• Hands-On Design Delivery: Work as an engaged, hands-on contributor within a cross-functional pod (engineers, experience architects, and product owners). Deliver rapid prototypes and digital products for assigned priority projects using AI-driven design tools
• Rapid Iteration: Partner directly with Product and Engineering to iterate on MVPs and proof-of-concepts, validating business ideas within days
• Agentic & Conversational Design: Design core components of Agentic AI experiences where systems plan, make decisions, call tools, and complete multi-step workflows with humans in the loop. Contribute end-to-end to Conversational UX (dialog flows, conversation state, turn-taking, confirmations, error recovery, escalation, and safe fallback behaviors)
• Assistant Behavior Patterns: Apply and help refine assistant behavior patterns (tone, grounded responses, refusal patterns, transparency cues, and trust-building interactions)
• Interactive Prototyping: Build dynamic, interactive prototypes optimized for cross-platform use, simulating agent behavior rather than static screens to validate workflows and surface risks quickly
• Design System Contribution: Apply and extend the internal design system, contributing feedback on AI-first patterns and maintaining consistency across prototypes
• Documentation & Handoff: Build clear design documentation for assigned work (templates, components, specifications) and leverage AI tools to streamline developer handoff
• Accessibility & Inclusion: Ensure accessibility compliance (WCAG 2.1 AA) across all designs, applying inclusive design practices for diverse user needs
• Product-Minded Contribution: Help frame problems, contribute to hypotheses, and connect design decisions directly to measurable outcomes (adoption, task success, time-to-resolution, trust, and quality indicators)