Staff Product Designer

Job Overview

We're hiring for a Staff Product Designer that will focus on our AI Experience, helping to define how intelligent, personalized experiences show up across Omada's member and care ecosystem. This role sits at the intersection of product design, AI interaction design, service design, behavior change, and human-centered care.

This role focuses on the connective tissue between AI, product, behavior change, and human care. You will help define when AI should speak, when it should stay quiet, when it should guide, when it should recommend, and when it should escalate to a coach, clinician, or specialist.

We're looking for a designer who can operate at the level of today's most ambitious AI product teams: shaping new interaction models, prototyping quickly with AI tools, translating complex capabilities into intuitive experiences, and partnering deeply with product, engineering, data, research, clinical, and care teams to bring intelligent products to life responsibly.

This is not an ML engineering or AI research role. You will partner closely with AI, data science, engineering, clinical, care, research, content, and product teams to translate emerging AI capabilities into useful, trustworthy, clinically appropriate, and buildable member and care experiences.

Your Impact

As a Staff Product Designer you will:

• 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.