Senior Ai-native Product Designer

Oura Oura · Consumer · San Francisco, CA +1 · Design

Senior AI-Native Product Designer responsible for architecting foundational systems for intelligent, context-aware experiences. This role involves designing agentic workflows, orchestrating probabilistic UX, bridging design and data science, functional AI prototyping, architecting generative systems, and championing calm intelligence. Requires proficiency in React/Typescript, experience with LLM APIs, and a portfolio demonstrating AI-driven interactions.

What you'd actually do

  1. Design for Agency & Autonomy: Move beyond "chat-box" paradigms. Architect agentic workflows where the platform anticipates user needs and provides "one-step-ahead" utility through ambient, screenless interactions.
  2. Orchestrate Probabilistic UX: Define the interaction patterns for uncertainty. You will design how the system communicates confidence levels, handles AI hallucinations, and maintains user trust when dealing with sensitive health data.
  3. Bridge Design & Data Science: Work as a peer to Data Scientists to shape model outputs into meaningful human experiences. You’ll help define the ontologies, logic gates, and feedback loops that allow our AI to learn from user behavior without being intrusive.
  4. Functional AI Prototyping: You don't just draw; you build. Use the latest tools (React, LLM APIs, Vercel AI SDK) to create high-fidelity, functional prototypes that prove out complex AI logic and contextual triggers before they hit production.
  5. Architect Generative Systems: Lead the creation of "Generative UI" frameworks and contextual tokens that allow our platform to assemble personalized experiences on the fly based on a user’s unique "Healthspan" data.

Skills

Required

  • 5+ Years of Experience in Senior or Staff roles at the intersection of Product Design and AI/ML-driven environments
  • Familiarity with capabilities and constraints of LLMs, embedding models, and predictive analytics
  • Proficiency in React/Typescript or native code and comfortable working with APIs
  • Experience building functional prototypes that interact with real data models to test "Agentic" behaviors
  • Expert-level Figma
  • Active practice with AI-accelerated workflows (Cursor, Gemini, Claude)
  • Deep understanding of how design logic translates to backend architecture
  • Experience working with "headless" systems
  • Understanding of how to design for multi-modal inputs (voice, haptic, ambient)
  • Portfolio demonstrating high-complexity data and AI-driven interactions

Nice to have

  • Prompt engineering
  • UI generation

What the JD emphasized

  • AI-Native Mindset
  • Code-As-Craft
  • A Modern AI Toolstack
  • Systems & Logic Literacy
  • Portfolio of Intelligent Systems

Other signals

  • AI-native product design
  • architecting foundational systems for intelligent experiences
  • designing for agency and autonomy
  • orchestrating probabilistic UX
  • functional AI prototyping