Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Omada Health

Location: Remote, USA

Job Type: Full-Time

Category: Product Design / AI Experience Design

Date Posted: 2026-06-09T18:35:18

Experience Level: 8+ Years (Implied Senior/Staff Level)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the design of AI-powered and personalized member experiences within a digital health platform, focusing on the intersection of AI, product, behavior change, and human-centered care.

• Define novel interaction models for intelligent guidance, recommendations, nudges, and seamless handoffs between AI and human care teams.

• Translate complex AI capabilities and behavioral science principles into intuitive, trustworthy, and clinically appropriate user experiences across digital and service touchpoints.

• Collaborate deeply with cross-functional teams, including AI/ML engineers, data scientists, product managers, clinicians, and care specialists, to bring intelligent products to life responsibly and at scale.

📝 Enhancement Note: The title "Staff Product Designer" combined with the emphasis on "AI Experience" and "complex capabilities" strongly suggests a senior-level individual contributor role. The focus on defining new interaction models, operating at the level of "ambitious AI product teams," and influencing senior stakeholders points to significant autonomy and strategic input expected from the candidate. The role bridges traditional UX/Product Design with specialized AI Interaction Design and Service Design.

📈 Primary Responsibilities

• Spearhead the product and experience design for AI-supported member journeys, ensuring coherence, trustworthiness, and clinical appropriateness across digital and service touchpoints.

• Develop and refine interaction models for AI-driven features such as intelligent guidance, personalized recommendations, proactive nudges, progress feedback mechanisms, and critical human-in-the-loop support scenarios.

• Design the connective tissue between AI systems and human care teams (coaches, clinicians, specialists), ensuring seamless integration and a unified, comprehensible member experience.

• Translate abstract concepts like motivation, trust, empathy, safety, consent, and care continuity into tangible design patterns and actionable product features.

• Rapidly prototype and iterate on AI-driven experiences using a variety of modern design and AI tools, including conversational flows, simulated experiences, prompt-based prototypes, and interactive concepts.

• Actively partner with Product Management, AI/ML Engineering, Data Science, Clinical Operations, Research, Content, and Design leadership to align user needs, business objectives, technical feasibility, and care delivery workflows.

• Define and articulate how AI-driven intelligence should manifest – whether ambient or explicit – and how personalization and recommendations are effectively communicated to users.

• Collaborate with AI, Content, Product, and Engineering teams to shape prompt design, agent behavior, voice, tone, and overall conversational experience patterns.

• Contribute to the development of robust evaluation frameworks for AI-powered experiences, focusing on metrics related to clarity, trust, usefulness, safety, comprehension, follow-through, and overall member value.

• Apply service design methodologies, including service blueprinting and journey mapping, to create cohesive experiences that span both member-facing applications and internal care team workflows.

• Work closely with behavioral science, personalization, data science, machine learning, and care operations partners to translate complex data inputs and algorithms into practical and user-friendly experience patterns.

• Produce high-quality design artifacts such as journey maps, service blueprints, user flows, wireframes, interactive prototypes, interaction models, experience principles, and detailed high-fidelity interface designs.

• Influence senior stakeholders by articulating clear design rationale, presenting compelling storytelling, and demonstrating a deep understanding of member needs, business goals, technical constraints, and the realities of care delivery.

📝 Enhancement Note: The responsibilities emphasize a senior-level strategic contribution, not just execution. The phrase "Lead product and experience design" and "Influence senior stakeholders" indicates a need for strategic thinking, leadership, and advocacy for user needs within a complex, cross-functional environment. The deep integration with AI/ML, data science, and clinical teams highlights the unique, specialized nature of this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles is implicit. Candidates are expected to demonstrate a mastery of design thinking and execution.

Experience: 8+ years of progressive experience in product design, UX design, experience design, service design, interaction design, or closely related fields.

Required Skills:

• Demonstrated experience in product design, with a strong emphasis on user experience (UX) and interaction design.

• Proven ability to lead design initiatives for AI-powered products, personalized experiences, data-informed products, conversational interfaces, or intelligent recommendation systems.

• Expertise in systems thinking and the ability to design across multiple surfaces, complex workflows, diverse user types, and integrated service touchpoints.

• Exceptional product thinking and interaction design craft, with a strong portfolio showcasing the ability to translate ambiguous concepts into tangible designs, flows, and systems.

• Proficiency in rapid prototyping and iteration using modern design tools and, crucially, AI tools for concept exploration, synthesis, and building lightweight experiences.

• Experience designing for sensitive areas including trust, safety, explainability, consent management, escalation protocols, clinical appropriateness, and human-in-the-loop support.

• Experience in shaping voice and tone systems, content patterns, branded assistants, or conversational product experiences.

• Proficiency in service blueprinting, journey mapping, and applying systems thinking to design across both member-facing and internal care team platforms.

• Demonstrated experience in collaborating effectively with behavioral science, personalization teams, data science, machine learning, or care operations professionals.

• A well-articulated perspective on the ethical and practical considerations of how intelligent products should communicate, behave, build trust, and support users throughout their care journey.

• Excellent communication, storytelling, and stakeholder management skills, with a proven ability to influence senior leadership and align diverse teams around a unified experience vision. Preferred Skills:

• Experience designing specifically within the healthcare, wellness, behavior change, chronic care management, coaching platforms, clinical workflows, or specialist care delivery domains.

• Direct experience working closely with AI research teams, ML engineering teams, data science departments, or applied AI groups.

• Hands-on experience prototyping AI features, prompt-based interactions, agentic flows, or complex conversational product experiences.

• Experience in defining or contributing to AI evaluation loops, including methodologies for assessing product quality, trustworthiness, comprehension, usefulness, safety, and behavioral impact.

• Familiarity and practical experience using AI tools such as Figma Make, Cursor, Claude Code, Replit, v0, ChatGPT, Gemini, or similar for design exploration, prototyping, or acceleration.

• Proven ability to thrive in ambiguous, fast-moving environments where new product patterns, technical capabilities, and user expectations are continuously emerging.

• A strong inclination towards systems design, thinking beyond individual screens to encompass the entire user journey and ecosystem.

• Ability to balance meticulous craftsmanship with the agility required to move quickly and learn through iterative prototyping.

• Capacity to bring a strong point of view while effectively building alignment and consensus across diverse teams.

📝 Enhancement Note: The required experience level (8+ years) combined with the "Staff" title indicates a need for a candidate who can operate with significant autonomy, mentor others, and drive strategic design direction. The emphasis on AI tools and experience designing for trust and safety in a healthcare context are critical differentiators. The "Bonus Points" section provides a clear roadmap of preferred, specialized skills that would make a candidate highly competitive.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio that clearly showcases strong product thinking, sophisticated interaction design, holistic systems thinking, and high-quality execution across complex digital products.

• Demonstrate a track record of designing and delivering AI-powered, personalized, data-informed, or intelligent product experiences.

• Include case studies that illustrate the ability to design across multiple surfaces, complex workflows, diverse user segments, and integrated service touchpoints.

• Present work that highlights the ability to translate ambiguous concepts into tangible design artifacts, detailed flows, robust systems, and clear design documentation. Process Documentation:

• Showcase examples of workflow design and optimization for digital products, particularly those involving AI or complex user journeys.

• Provide evidence of system implementation standards and how designs were translated into buildable and scalable products.

• Demonstrate the ability to measure and analyze the impact of design solutions, focusing on metrics and efficiency improvements and ROI demonstration.

📝 Enhancement Note: For a Staff Product Designer role, especially one focused on AI, the portfolio needs to go beyond static screens. It must demonstrate strategic thinking, complex problem-solving, and the ability to design entire systems and experiences, not just UI elements. Case studies should highlight the candidate's process, decision-making rationale, and quantifiable impact, particularly in AI-driven or complex healthcare contexts.

💵 Compensation & Benefits

Salary Range: Based on the provided information for California, New York, and Washington State ($174,800 - $218,500 USD per year) and Colorado ($167,200 - $209,000 USD per year), and considering the Staff level experience (8+ years) and the specialized nature of AI and healthcare design, a competitive national range can be estimated.

• Estimated Base Salary Range (USA): $170,000 - $225,000+ USD per year.

• Explanation: This estimate is derived from the provided state-specific ranges, adjusted for the broader US market for senior/staff design roles in tech/health tech, and factoring in the high demand for AI-related design expertise. The upper end reflects the potential for candidates with exceptional experience and a strong portfolio in AI/healthcare.

Benefits:

• Competitive Salary: Base compensation within the estimated range.

• Annual Cash Bonus: Performance-based bonus opportunities.

• Equity Grants: Stock options or grants, offering potential for long-term financial growth.

• Remote First Work Culture: Fully remote work environment, maximizing flexibility and work-life balance.

• Flexible Time Off (FTO): Generous policy to encourage rest, recharge, and personal pursuits.

• Generous Parental Leave: Comprehensive support for new parents.

• Comprehensive Health Coverage: Medical, dental, and vision insurance with above-market employer contributions.

• 401k Retirement Savings Plan: Employer-sponsored retirement savings vehicle.

• Lifestyle Spending Account (LSA): Flexible funds for wellness and lifestyle expenses.

• Mental Health Support Solutions: Access to resources for well-being.

• Other Benefits: Additional benefits as outlined by the company.

Working Hours: The role implies a standard full-time commitment, typically around 40 hours per week, with flexibility afforded by the remote-first culture.

📝 Enhancement Note: The provided salary ranges for specific states are valuable benchmarks. The estimation for the broader US market accounts for the seniority and specialized skills required for this Staff Product Designer role, particularly in the high-demand AI and health tech sectors. The comprehensive benefits package indicates a strong commitment to employee well-being and long-term incentives.

🎯 Team & Company Context

🏢 Company Culture

Industry: Health Technology / Digital Health / Healthcare Services. Omada Health is a leader in reverse-engineering healthcare delivery, focusing on chronic condition management through a virtual-first model.

Company Size: The job posting doesn't specify, but Omada Health is a publicly traded company (Nasdaq: OMDA) and has been operating since 2011, suggesting a medium to large-sized organization with established processes and a significant market presence.

Founded: 2011. Omada Health was founded out of IDEO, emphasizing its deep roots in human-centered design and innovation. This origin story highlights a culture that values thoughtful problem-solving, user empathy, and creative approaches to complex challenges.

Team Structure:

• The role sits within the Design team, which is foundational to Omada's product development and strategy.

• This specific position focuses on the "AI Experience," indicating a dedicated sub-team or functional area within Design focused on integrating AI capabilities.

• The designer will work in a highly cross-functional manner, reporting potentially to a Design Lead or Director, and collaborating daily with Product Management, AI/ML Engineering, Data Science, Clinical teams, Research, and Care Operations. Methodology:

• Data Analysis and Insights: A strong emphasis on leveraging data (user behavior, clinical outcomes, AI model performance) to inform design decisions and measure impact.

• Workflow Planning and Optimization: Designing end-to-end member journeys and internal care team workflows to ensure efficiency, effectiveness, and a seamless user experience.

• Automation and Efficiency Practices: Utilizing AI and technology to automate tasks, personalize experiences, and improve the overall efficiency of care delivery.

Company Website: https://www.omadahealth.com/

📝 Enhancement Note: Omada's founding story from IDEO is a significant cultural indicator, suggesting a strong emphasis on design thinking, user empathy, and innovation. The "remote-first" culture and the explicit mention of values like "Cultivate Trust," "Seek Context," "Act Boldly," and "Succeed Together" provide insight into the expected working style and team dynamics. The integration of AI into their care model implies a forward-thinking, technology-driven approach.

📈 Career & Growth Analysis

Operations Career Level: This is a Staff Product Designer role, representing a senior individual contributor position. It signifies a high level of expertise, strategic influence, and the ability to tackle complex, ambiguous problems with significant autonomy. Staff designers are expected to not only execute but also to define new design approaches, mentor junior team members, and shape the overall design direction within their domain.

Reporting Structure: The Staff Product Designer will likely report to a Design Manager, Director of Design, or potentially a Product Lead, depending on the specific organizational structure. They will work closely with peers in Product Management, Engineering, AI/ML, and Clinical teams.

Operations Impact: The role is critical in shaping how Omada Health leverages cutting-edge AI to deliver personalized, effective, and trustworthy chronic condition management. The designer's work will directly influence member engagement, adherence, clinical outcomes, and the overall scalability and efficiency of Omada's virtual care model. By defining the user experience of AI, this role directly impacts patient satisfaction, retention, and the company's ability to achieve its mission.

Growth Opportunities:

• Domain Specialization: Deepen expertise in AI Interaction Design, Service Design for Healthcare, and Behavior Change within the digital health space.

• Leadership Development: Opportunities to lead design initiatives, mentor junior designers, and influence product strategy. Potential to move into Principal or Group Design Lead roles.

• Cross-functional Influence: Develop strong partnerships and influence across Product, Engineering, AI/ML, and Clinical teams, expanding strategic impact.

• Industry Impact: Contribute to the evolving landscape of AI in healthcare, shaping best practices for responsible and effective AI-driven user experiences.

• Learning & Development: Access to resources, conferences, and internal knowledge sharing to stay at the forefront of AI design trends and healthcare innovation.

📝 Enhancement Note: The "Staff" designation is key here. It means the candidate is expected to be a thought leader, capable of operating independently, driving complex projects, and influencing product strategy at a senior level. The growth opportunities emphasize continued specialization and leadership within the growing field of AI in health tech.

🌐 Work Environment

Office Type: The company operates on a "Remote First" model. This signifies a commitment to a distributed workforce, with the primary mode of operation being remote. While there might be physical offices, the expectation is that employees can work from home effectively.

Office Location(s): While the role is "Remote, USA," Omada Health has a significant presence and headquarters, likely in San Francisco, California, given its tech industry roots and venture funding history. They also mention specific salary bands for California, New York, Washington, and Colorado, indicating they hire in these regions. The "Remote First" approach means employees can work from anywhere within the USA, provided they align with time zone requirements for collaboration.

Workspace Context:

• Collaborative Environment: Expect a highly collaborative atmosphere, leveraging digital tools for communication, ideation, and design reviews. Emphasis on asynchronous communication alongside synchronous meetings.

• Operations Tools & Technology: Access to industry-standard design and collaboration tools (e.g., Figma, potentially AI-specific design platforms) and communication platforms (e.g., Slack, Zoom).

• Team Interaction: Regular interaction with a diverse, cross-functional team. Opportunities for deep dives, workshops, and brainstorming sessions conducted virtually.

Work Schedule: While typically a 40-hour work week is standard, the "Remote First" and "Flexible Time Off" policies suggest a high degree of autonomy and flexibility in managing one's schedule, provided that collaboration needs with East Coast to West Coast time zones are met.

📝 Enhancement Note: The "Remote First" aspect is a major selling point for candidates prioritizing flexibility. The need to collaborate across US time zones means that while flexible, maintaining availability for key meetings will be important. The culture emphasizes leveraging digital tools for seamless collaboration, which is essential for a distributed team.

📄 Application & Portfolio Review Process

Interview Process: The typical interview process for a Staff-level role in a tech company like Omada Health would likely involve several stages:

• Initial Screen: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in the role and company.

• Portfolio Review & Design Exercise: A dedicated session where the candidate presents their portfolio, highlighting relevant case studies. This may be followed by a take-home design challenge or a live design exercise focused on problem-solving, systems thinking, and AI interaction design.

• Cross-Functional Interviews: Interviews with peers and stakeholders from Product Management, Engineering, AI/ML, Clinical teams, and potentially Executive leadership. These interviews assess collaboration skills, strategic thinking, technical understanding, and domain knowledge.

• Hiring Manager Interview: A final interview with the hiring manager to discuss role expectations, career growth, team dynamics, and overall fit.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 case studies that best demonstrate your experience with AI-powered products, complex systems, service design, and healthcare/behavior change if applicable.

• Focus on Process & Impact: For each case study, clearly articulate the problem, your role, your design process, key decisions made, challenges overcome, and the measurable impact or outcomes.

• Highlight AI & Systems Thinking: Explicitly showcase how you approached designing AI interactions, managed complexity, considered trust/safety, and designed across a system rather than just isolated screens.

• Demonstrate Prototyping: Show interactive prototypes or detailed flows that illustrate your interaction design craft and ability to make concepts tangible. For this role, demonstrating AI-specific prototyping (e.g., conversational flows, prompt exploration) is crucial.

• Tell a Story: Frame your projects as narratives that highlight your problem-solving skills, strategic thinking, and ability to influence outcomes.

Challenge Preparation:

• AI Interaction Design Principles: Review best practices for designing conversational interfaces, recommendation systems, intelligent agents, and human-in-the-loop AI.

• Systems Thinking Exercises: Practice thinking about how different components of a system interact and how design decisions impact the overall ecosystem.

• Healthcare Context: If you have limited healthcare experience, research common chronic conditions, digital health platforms, and the unique challenges of designing for health behavior change and clinical trust.

• AI Tool Proficiency: Be ready to discuss your experience using AI tools in your design workflow and potentially demonstrate basic usage or ideation with common AI tools.

• Stakeholder Alignment: Prepare to discuss how you would collaborate with diverse stakeholders (engineers, clinicians, product managers) to achieve design goals.

📝 Enhancement Note: The emphasis on a Staff-level role means interviewers will be looking for strategic thinking, leadership potential, and deep expertise, particularly in AI interaction design and complex systems. The portfolio and any design challenges should strongly reflect these capabilities. Be prepared to discuss the "why" behind your design decisions and their impact.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly likely), potentially Adobe Creative

Suite.

• AI Design & Prototyping Tools: Candidates are expected to be comfortable with a range of AI tools for ideation, prototyping, and synthesis. Specific examples include:

  • AI Chatbots/Assistants: ChatGPT, Gemini, Claude, or similar for generating content, exploring conversational flows, and prompt engineering.
  • AI-Assisted Design Tools: Figma Make, Cursor, Replit, v0, or similar for rapid prototyping, code-assisted design, or AI-driven idea generation.
  • General AI Platforms: Familiarity with how users interact with AI in various contexts.

• Collaboration & Communication: Slack, Zoom, Google Workspace (Docs, Sheets, Slides), potentially Miro or Mural for virtual whiteboarding.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) for understanding user behavior and measuring design impact.

• Experience interpreting data and translating insights into design improvements. CRM & Automation:

• While not a direct CRM role, understanding how design integrates with CRM systems and automated workflows (e.g., marketing automation, care pathway automation) is beneficial.

📝 Enhancement Note: The explicit mention of AI tools like Figma Make, Cursor, ChatGPT, and Gemini indicates Omada Health's commitment to leveraging AI in their design process. Candidates should be prepared to discuss their practical experience with these or similar tools and how they integrate them into their workflow to accelerate design exploration and prototyping.

👥 Team Culture & Values

Operations Values: Omada Health explicitly lists its core values, which are crucial for understanding the team culture:

• Cultivate Trust: Emphasizes listening, kindness, respectful and candid feedback. This implies a psychologically safe environment where open communication is valued.

• Seek Context: Encourages deep research, understanding, and building connections to move faster and more effectively. This points to a thoughtful, data-informed, and collaborative approach.

• Act Boldly: Promotes innovation, problem-solving, and proactively seeking opportunities for improvement for members and customers. This suggests a culture that embraces initiative and calculated risks.

• Deliver Results: Focuses on impact over output, setting high bars, learning from failure, and taking pride in work. This highlights a performance-driven yet resilient culture.

• Succeed Together: Prioritizes organizational progress over individual or team gains, fostering a sense of shared mission and enjoyable collaboration.

• Remember Why We’re Here: A mission-driven value, reminding the team of the ultimate goal of changing healthcare, which serves as motivation through challenges.

Collaboration Style:

• Cross-functional Integration: Expect a highly integrated approach where designers work hand-in-hand with product, engineering, AI/ML, clinical, and care teams. Collaboration is not an add-on but a core part of the process.

• Process Review & Feedback: A culture that values continuous improvement, likely involving regular design critiques, peer reviews, and feedback loops to refine work.

• Knowledge Sharing: Encouragement of sharing insights, best practices, and learnings, especially within the rapidly evolving field of AI and digital health.

📝 Enhancement Note: The explicit values provide a strong framework for understanding Omada's culture. Candidates should be prepared to discuss how their own work style and past experiences align with these values, particularly "Cultivate Trust," "Seek Context," and "Act Boldly," as these are critical for success in a complex, mission-driven, and innovative environment like Omada.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: A primary challenge will be building and maintaining user trust in AI-driven health recommendations and guidance, especially when dealing with sensitive health data and outcomes.

• Balancing AI Capabilities with Human Care: Defining the optimal interplay between automated AI assistance and human-led clinical/coaching interventions to create a cohesive and effective care experience.

• Navigating Ambiguity in AI Development: Working with rapidly evolving AI technologies and capabilities means designs must be adaptable and prepared for future iterations and unexpected advancements.

• Ensuring Clinical Appropriateness & Safety: Designing AI experiences that are not only user-friendly but also clinically sound, safe, and compliant with healthcare regulations.

• Translating Complex Data/AI to Simplicity: Simplifying sophisticated AI outputs and data inputs into intuitive, actionable insights for members and care teams.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in AI Interaction Design, prompt engineering, and the ethical considerations of AI in healthcare.

• Healthcare Domain Expertise: Gain profound knowledge in chronic condition management, behavior change science, and clinical workflows.

• Cross-Functional Leadership: Develop skills in influencing and leading diverse teams through complex product development cycles.

• Industry Trends: Stay at the forefront of advancements in AI, digital health, and personalized medicine through conferences, research, and internal knowledge sharing.

• Mentorship: Opportunities to mentor junior designers and learn from senior leaders within Omada's design and product organizations.

📝 Enhancement Note: The challenges highlight the cutting-edge nature of this role. Candidates should demonstrate an awareness of these complexities and a proactive approach to problem-solving, particularly in areas like AI ethics, user trust, and the human-AI interface in a healthcare context. The growth opportunities are significant for someone looking to make a mark in the AI-driven health tech space.

💡 Interview Preparation

Strategy Questions:

• AI Strategy: "How would you approach defining the core principles for an AI experience that needs to build trust while providing personalized health recommendations?" (Preparation: Think about ethical AI frameworks, transparency, user control, and clear communication of AI capabilities and limitations.)

• Systems Design: "Describe a time you had to design a complex system involving multiple user types and touchpoints. How did you ensure consistency and coherence?" (Preparation: Use a STAR method response, focusing on journey mapping, service blueprints, and establishing design systems or principles.)

• Problem Solving with AI: "Imagine a member is hesitant to follow an AI's recommendation due to a past negative experience. How would you design the AI's response and the overall experience to overcome this?" (Preparation: Focus on empathy, iterative feedback, offering choices, explaining the AI's reasoning, and providing clear escalation paths to human support.)

Company & Culture Questions:

• Mission Alignment: "Omada's mission is to inspire lifelong health. How does designing AI experiences contribute to this mission?" (Preparation: Connect your design philosophy and approach to Omada's goals, emphasizing empowerment, engagement, and improved health outcomes.)

• Collaboration: "How do you typically collaborate with AI/ML engineers and data scientists? What are the key challenges and how do you overcome them?" (Preparation: Discuss your experience in translating user needs to technical teams and vice-versa, focusing on shared understanding and iterative feedback loops.)

• Impact Measurement: "How would you measure the success of an AI-powered feature designed to increase member engagement in a chronic care program?" (Preparation: Discuss key metrics, A/B testing, qualitative feedback, and linking design outputs to clinical/behavioral outcomes.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure each case study with a clear beginning (problem), middle (your process, decisions, prototypes), and end (impact, learnings).

• Focus on AI & Systems: For this role, prominently feature projects where you designed AI interactions, complex systems, or integrated digital and human services. Clearly articulate your role and contributions.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. If direct metrics aren't available, discuss projected impact or qualitative user feedback.

• Showcase AI Tool Use: If relevant, briefly demonstrate or discuss how you used AI tools in your workflow to accelerate ideation, prototyping, or synthesis.

• Engage and Converse: Treat the portfolio review as a discussion. Be prepared to answer questions about your process, rationale, and trade-offs.

Challenge Preparation:

• AI Prompting & Response Design: Practice crafting effective prompts and designing conversational responses that are helpful, empathetic, and aligned with brand voice.

• Service Design Thinking: Be ready to diagram a service blueprint or map a user journey for a hypothetical AI-driven health interaction.

• Ethical Considerations: Prepare to discuss potential ethical dilemmas in AI health design and how you would mitigate them.

📝 Enhancement Note: The interview process will likely probe deeply into your strategic thinking, ability to handle ambiguity, and your specific experience with AI interaction design and systems thinking in a healthcare context. Demonstrating a mature, thoughtful approach to responsible AI design will be key.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Curate your portfolio: Select 3-4 of your strongest projects that best highlight your experience with AI-powered products, complex systems design, service design, and healthcare (if applicable). Ensure each case study clearly articulates the problem, your process, your specific contributions, and the measurable impact.

• Optimize your resume: Tailor your resume to emphasize your 8+ years of experience, your work on AI/personalized products, your systems thinking capabilities, and your proficiency with design and AI tools. Use keywords from the job description.

• Prepare your portfolio presentation: Practice walking through your selected case studies, focusing on storytelling, clear articulation of your design rationale, and demonstrating your ability to influence stakeholders. Be ready to discuss your experience with AI interaction design and complex system design in detail.

• Research Omada Health: Understand their mission, values, and the specific challenges they are addressing in the digital health space. Familiarize yourself with their existing products and their approach to AI.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.