Staff Product Designer

Omada Health

12h•$167,200 - $218,500•Remote

About The Position

Omada Health is seeking a Staff Product Designer to focus on their AI Experience. This role involves defining how intelligent, personalized experiences are integrated across Omada’s member and care ecosystem. It sits at the intersection of product design, AI interaction design, service design, behavior change, and human-centered care, focusing on the connection between AI, product, behavior change, and human care. The designer will determine when and how AI should interact, guide, recommend, or escalate to human support. The role requires operating at the level of ambitious AI product teams, shaping new interaction models, prototyping with AI tools, translating complex capabilities into intuitive experiences, and collaborating with product, engineering, data, research, clinical, and care teams to responsibly bring intelligent products to life. This is not an ML engineering or AI research role, but a collaborative one focused on translating AI capabilities into useful, trustworthy, clinically appropriate, and buildable member and care experiences.

Requirements

8+ years of experience in product design, UX design, experience design, service design, interaction design, or related fields.
A portfolio that demonstrates strong product thinking, interaction design, systems thinking, prototyping, and high-quality execution across complex digital products.
Experience designing AI-powered, personalized, data-informed, conversational, recommendation-based, or intelligent product experiences.
Experience designing across multiple surfaces, workflows, users, service touchpoints, or human handoff moments.
Strong product, interaction, and visual design craft, with the ability to make ambiguous ideas tangible through prototypes, flows, systems, and clear design artifacts.
Comfort using AI tools as part of your design workflow to explore ideas, prototype, synthesize research, generate concepts, evaluate directions, or build lightweight experiences.
Experience designing experiences that involve trust, safety, explainability, consent, escalation, sensitive interventions, clinical appropriateness, or human-in-the-loop support.
Experience shaping voice and tone systems, content patterns, branded assistants, intelligent guidance systems, or conversational product experiences.
Experience with service blueprinting, journey mapping, systems thinking, or designing across both member-facing and internal care team experiences.
Experience working with behavioral science, personalization, data science, machine learning, or care operations teams.
A thoughtful perspective on how intelligent products should communicate, behave, earn trust, and support users across different moments of care.
Excellent communication and storytelling skills, with the ability to influence senior stakeholders and align teams around a clear experience direction.

Nice To Haves

Experience designing for healthcare, wellness, behavior change, chronic care, coaching, clinical workflows, specialist care, or longitudinal care delivery.
Experience working closely with AI research, ML engineering, data science, or applied AI teams.
Experience prototyping AI features, prompt-based experiences, agentic flows, or conversational product experiences.
Experience defining or contributing to AI evaluation loops, including how teams assess quality, trust, comprehension, usefulness, safety, or behavioral impact.
Experience using tools such as Figma Make, Cursor, Claude Code, Replit, v0, ChatGPT, Gemini, or similar tools to prototype, build, evaluate, or accelerate design exploration.
Experience working in ambiguous, fast-moving environments where new product patterns, technical capabilities, and user expectations are still emerging.

Responsibilities

Lead product and experience design for AI-supported member experiences across key moments in the health journey.
Define interaction models for intelligent guidance, recommendations, nudges, reflection, progress feedback, handoffs, and human-in-the-loop support.
Shape how AI and human care teams work together across digital and service touchpoints, ensuring the experience feels coherent, trustworthy, clinically appropriate, and easy to understand.
Translate concepts like motivation, trust, empathy, safety, personalization, consent, care continuity, and escalation into concrete design patterns teams can build, test, and scale.
Prototype early and often using modern design and AI tools, including conversational flows, simulated experiences, prompt-based prototypes, coded prototypes, service prototypes, and interactive concepts.
Partner with Product, AI, Data Science, Engineering, Clinical, Research, Content, Care Platform, and Design leadership to align user needs, business goals, technical capabilities, and care workflows.
Help define when intelligence should feel ambient versus explicit, how personalization is represented, and how recommendations or next-best actions are communicated.
Contribute to prompt, agent, voice, tone, and conversational experience patterns in partnership with AI, content, product, and engineering teams.
Help define evaluation loops for AI-powered experiences, including how teams assess clarity, trust, usefulness, safety, comprehension, follow-through, and member value.
Apply service blueprinting, journey mapping, and systems thinking to design across both member-facing and internal care team experiences.
Work with behavioral science, personalization, data science, machine learning, and care operations partners to translate complex inputs into practical experience patterns.
Create high-quality design artifacts, including journey maps, service blueprints, flows, wireframes, prototypes, interaction models, experience principles, and high-fidelity interface designs.
Influence senior stakeholders through clear storytelling, strong design rationale, and a deep understanding of member needs, business goals, technical constraints, and care delivery realities.