Product Designer, AI Experience

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.

Competitive salary with generous annual cash bonus

Equity grants

Remote first work from home culture

Flexible Time Off to help you rest, recharge, and connect with loved ones

Generous parental leave

Health, dental, and vision insurance (and above market employer contributions)

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.