Product Designer II

Wonder
Full-time$111k-123k/year (USD)New York, United States

📍 Job Overview

Job Title: Product Designer II

Company: Wonder

Location: New York, NY, United States

Job Type: FULL_TIME

Category: Product Design / User Experience

Date Posted: April 29, 2026

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

  • Spearhead end-to-end product design for innovative AI-powered food experiences on iOS and web platforms.

  • Craft intuitive and trustworthy user interfaces for complex, AI-driven interactions, focusing on simplicity and clarity.

  • Drive product strategy and execution by collaborating closely with founders, engineering, and product teams.

  • Contribute to and evolve a robust design system, ensuring consistency and scalability across the product suite.

  • Champion a culture of design excellence through active participation in design reviews and feedback sessions.

📝 Enhancement Note: This role is positioned within Wonder's AI and Robotics team, indicating a focus on cutting-edge product development that blends AI capabilities with user-facing applications in the food tech industry. The emphasis on "genuinely new" design problems suggests a highly innovative and less structured environment, requiring strong problem-solving and ambiguity navigation skills.

📈 Primary Responsibilities

  • Own the complete product design lifecycle, from initial concept ideation and wireframing to high-fidelity mockups and production-ready specifications for iOS and web applications.

  • Design, prototype, and conduct user testing for complex, trust-sensitive user flows, aiming to make powerful AI functionalities feel effortless and accessible.

  • Develop and refine the company's design system, ensuring component reusability, pattern consistency, and scalability across all product touchpoints.

  • Actively collaborate with engineering and product management to influence both tactical execution and long-term product vision.

  • Present design work regularly in cross-functional reviews, providing clear rationale for decisions and actively soliciting constructive feedback to foster a collaborative design culture.

  • Translate user needs and business requirements into elegant, user-centered design solutions that align with Wonder's mission to make great food more accessible.

  • Explore and integrate emerging AI technologies and personalization strategies into the user experience, ensuring a seamless and engaging interaction.

📝 Enhancement Note: The responsibility of "delivering from your strengths" suggests flexibility in the required output format (wireframes, comps, prototypes, or code), encouraging candidates to leverage their most proficient design skills while also developing new ones. The role implies a hands-on approach, expecting designers to be comfortable with various stages of the design process.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles is expected, typically acquired through a Bachelor's degree in Interaction Design, Graphic Design, Human-Computer Interaction, or a related field, or equivalent practical experience.

Experience: 2 to 4 years of professional product design experience, with a proven track record of shipping consumer-facing products, preferably native mobile applications.

Required Skills:

  • Extensive experience in end-to-end product design, encompassing user research, wireframing, prototyping, UI design, and interaction design.

  • A strong portfolio showcasing shipped consumer products, demonstrating polished UI, thoughtful UX, and sound design judgment.

  • Proficiency in designing for AI-powered or personalization-driven products, with a clear perspective on the unique challenges and opportunities they present.

  • Robust visual and interaction design fundamentals, coupled with a distinct design point of view.

  • Demonstrated ability to simplify complex user flows, balancing flexibility with ease of use.

  • Excellent communication skills, with the capacity to clearly articulate design decisions and rationale, especially when advocating for design choices.

Preferred Skills:

  • Experience utilizing AI tools for rapid prototyping and iteration (e.g., Claude Code, v0, Cursor).

  • A systems-thinking approach to design, with the ability to extend shared patterns and behaviors.

  • High degree of craft and attention to detail in design execution.

  • Proven ability to thrive with minimal direction and make confident decisions in undefined situations.

  • Experience with design systems, including contributions to and extensions of existing pattern libraries.

📝 Enhancement Note: The "Got These? Even Better" section strongly suggests that candidates with experience leveraging AI in their design workflow or familiarity with emerging AI design tools will have a significant advantage. This indicates a forward-thinking team that embraces new technologies and expects designers to be proactive in exploring their potential.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • A curated portfolio demonstrating 2-4 years of product design experience with shipped consumer products, with a strong emphasis on native mobile applications if applicable.

  • Polished UI examples that highlight visual design skills and attention to detail.

  • Clear articulation of design thinking and problem-solving processes for selected projects.

  • Evidence of good judgment in design decisions, with clear rationale provided for choices made.

Process Documentation:

  • For each portfolio project, clearly outline the design process followed, including user research methodologies, ideation stages, wireframing, prototyping tools used, and user testing approaches.

  • Detail how design decisions were made, referencing user feedback, business goals, and technical constraints.

  • Showcase the final UI and interaction design, explaining key flows and features.

  • If applicable, demonstrate how the design system was utilized or contributed to.

  • Explain the impact of the design, using metrics or qualitative feedback where available to demonstrate problem-solving success.

📝 Enhancement Note: The emphasis on "shipped consumer products" and "evidence of good judgment" means the portfolio should not just showcase aesthetics but also demonstrate the impact and strategic thinking behind the designs. For this role, highlighting AI-specific design challenges and solutions will be crucial.

💵 Compensation & Benefits

Salary Range: $110,500 - $123,000 USD per year.

Benefits:

  • Equity participation in the company.

  • 401K retirement savings plan.

  • Comprehensive medical insurance plans.

  • Dental insurance coverage.

  • Vision insurance coverage.

  • Additional benefits and perks not explicitly listed, indicating a robust employee benefits package.

Working Hours: A standard 40-hour work week is implied for full-time employment. The on-site nature of the role suggests adherence to typical office hours, though flexibility may be available based on team dynamics and project needs.

📝 Enhancement Note: The salary range provided is specific to New York City. Wonder utilizes geographic-specific salary structures, meaning the offer could vary based on the candidate's location if remote work were an option (which it is not for this role). The final offer is contingent upon factors including candidate skills, education, training, credentials, and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Food & Beverage Technology / AI & Robotics. Wonder operates at the intersection of food delivery, culinary innovation, and advanced AI/Robotics technology, aiming to revolutionize the mealtime experience.

Company Size: The job description does not explicitly state the company size, but the mention of "founders of the AI and Robotics team" suggests a growing, potentially mid-sized company with dedicated innovation arms.

Founded: The founding date is not specified, but the company is actively building out its AI and Robotics capabilities, indicating a focus on innovation and future growth.

Team Structure:

  • The Product Designer will be part of the AI and Robotics team, working directly with its founders. This implies a close-knit, highly collaborative, and potentially fast-paced environment.

  • Close collaboration with engineering and product management is a key aspect of the team structure.

Methodology:

  • Data-Driven Design: Expect a strong emphasis on using data, user feedback, and AI-driven insights to inform design decisions.

  • Agile/Iterative Development: The mention of "fast-moving, under-defined environment" and "shaping both near-term decisions and longer-term direction" suggests an iterative approach to product development and design.

  • User-Centricity: The core mission of making great food accessible and the focus on user experience highlight a commitment to understanding and serving user needs.

  • AI Integration: A key methodology will involve exploring and integrating AI capabilities to create novel and effortless user experiences.

Company Website: wonder.com

📝 Enhancement Note: The company's focus on owning "every step of the dining experience" from recipe development to technology, combined with its investment in AI and Robotics, points to a vertically integrated approach. This level of control allows for deep innovation but also demands strong cross-functional alignment, where design plays a pivotal role.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Product Designer II," typically indicating an intermediate level of experience (2-4 years). It suggests a designer capable of owning significant product areas and contributing to strategic discussions, moving beyond junior-level execution.

Reporting Structure: The designer will work directly with the founders of the AI and Robotics team. This direct reporting line to leadership offers high visibility and significant influence, but also implies a demanding and fast-paced work environment.

Operations Impact: The Product Designer will have a direct and substantial impact on a core, innovation-focused product at Wonder. By shaping the user experience of AI-powered food solutions, the role directly influences how customers interact with the brand, how technology is perceived, and ultimately, the success and adoption of new product lines. The potential to "change how people relate to food every day" underscores the significant impact of this role.

Growth Opportunities:

  • Specialization in AI/Robotics Design: Deepen expertise in designing for cutting-edge AI and robotics applications within the food industry, a niche and high-demand skill set.

  • Leadership in Design: As the team and product grow, opportunities may arise to mentor junior designers, lead design initiatives, or contribute more heavily to design strategy and team growth.

  • Cross-functional Skill Development: Gain exposure to and collaborate closely with founders, engineers, and product managers, broadening understanding of product development beyond design.

  • Impactful Product Ownership: Take ownership of significant features or product areas, developing a strong track record of driving product success and innovation.

  • Exposure to Emerging Technologies: Work at the forefront of AI and robotics in consumer applications, staying ahead of industry trends and developing valuable future-proof skills.

📝 Enhancement Note: The direct collaboration with "founders of the AI and Robotics team" signifies a high-impact role with significant potential for learning and career advancement. This close proximity to leadership offers unparalleled exposure to strategic decision-making and the opportunity to shape a foundational product.

🌐 Work Environment

Office Type: The role is designated as "On-site" in New York, NY. This suggests a traditional office-based work environment where in-person collaboration, team meetings, and access to office resources are expected.

Office Location(s): New York, NY. This location offers access to a vibrant tech and culinary scene, with potential for collaboration with other teams within Wonder's HQ.

Workspace Context:

  • Collaborative Hub: The office environment is likely designed to foster collaboration, with shared workspaces, meeting rooms, and common areas conducive to brainstorming and team interaction.

  • Access to Tools: Employees will have access to the necessary hardware, software, and potentially specialized equipment relevant to product design and AI/Robotics development.

  • Team Integration: The on-site nature facilitates spontaneous interactions, quick feedback loops, and a stronger sense of team cohesion, which is particularly valuable for a team working on novel AI products.

Work Schedule: A standard 40-hour work week is typical for full-time roles. While on-site, established companies often offer some degree of flexibility around start and end times, provided core collaboration hours are met and project deadlines are achieved. The "fast-moving" nature may require occasional extended hours during critical project phases.

📝 Enhancement Note: The on-site requirement in New York City suggests a company culture that values in-person collaboration and team synergy, especially for a highly innovative team like AI and Robotics. This environment is likely to be dynamic and conducive to rapid prototyping and feedback.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your resume and portfolio to assess basic qualifications and design experience.

  • Portfolio Presentation & Design Challenge: Candidates will likely present their portfolio, discussing specific projects and design decisions. A design challenge, potentially focused on an AI-related problem or a complex user flow, may be administered to evaluate problem-solving skills, design thinking, and ability to work with ambiguity.

  • Cross-functional Interviews: Interviews with engineering, product management, and potentially founders of the AI/Robotics team to assess collaboration skills, technical understanding, and cultural fit.

  • Final Round: Discussions with senior leadership to evaluate strategic thinking, impact potential, and long-term fit within the company.

Portfolio Review Tips:

  • Highlight AI/Personalization: Clearly showcase projects that demonstrate experience with AI-powered or personalization-driven products. Explain the unique design challenges and your solutions.

  • Showcase Shipped Products: Prioritize work that has been launched and is in the hands of users. Detail your role and contributions.

  • Demonstrate Process: Clearly articulate your design process for each case study, emphasizing research, ideation, iteration, and user testing.

  • Quantify Impact: Whenever possible, use metrics (e.g., conversion rates, user engagement, task completion times) or qualitative feedback to demonstrate the success and impact of your designs.

  • Explain Your "Why": Be ready to articulate the rationale behind your design decisions, especially when challenging existing norms or proposing novel solutions.

  • Tool Proficiency: Be prepared to discuss your proficiency with design tools, including any experience with AI-assisted design tools mentioned in the preferred qualifications.

Challenge Preparation:

  • Understand the Domain: Familiarize yourself with Wonder's business, its current offerings, and the broader food tech and AI landscape.

  • Focus on AI Nuances: Anticipate challenges related to trust, transparency, control, and the "effortless yet powerful" balance in AI interactions.

  • Systems Thinking: Practice thinking about how your design fits into a larger ecosystem of products and services.

  • Ambiguity Navigation: Be prepared to ask clarifying questions and make reasoned assumptions when faced with incomplete information.

  • Communication: Practice clearly articulating your thought process, design choices, and potential trade-offs.

📝 Enhancement Note: Given the role's focus on AI and the mention of specific tools like Claude Code and v0, interviewers will likely probe deeply into how candidates leverage AI in their design workflow. Demonstrating an understanding of AI's potential and limitations in user experience will be key.

🛠 Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma (highly probable for UI/UX design, collaboration, and prototyping), Sketch, Adobe Creative Suite (Photoshop, Illustrator).

  • Wireframing: Balsamiq, Miro, or Figma's wireframing capabilities.

  • Prototyping: InVision, Principle, Framer, or advanced Figma prototyping features.

  • User Testing Platforms: UserTesting.com, Maze, Lookback.

  • AI Design Tools (Preferred): Claude Code, v0, Cursor, or similar AI-assisted design and coding tools.

Analytics & Reporting:

  • Product Analytics: Google Analytics, Mixpanel, Amplitude, or similar tools for tracking user behavior and product performance.

  • Data Visualization: Tableau, Power BI, or in-app analytics dashboards for reporting and insights.

CRM & Automation:

  • While not directly a designer's primary tool, familiarity with CRM systems (e.g., Salesforce) and marketing automation platforms (e.g., HubSpot) can provide context for user journeys and data flow.

  • Understanding of how user data impacts personalization is crucial, even if not directly managing the CRM.

📝 Enhancement Note: The explicit mention of AI design tools like Claude Code, v0, and Cursor in the preferred qualifications indicates that proficiency or at least familiarity with these emerging technologies will be a significant differentiator. Designers are expected to be early adopters and explorers of AI in their craft.

👥 Team Culture & Values

Operations Values:

  • Innovation & Experimentation: A strong drive to explore new frontiers in AI and food technology, encouraging experimentation and learning from both successes and failures.

  • Craft & Quality: A commitment to high-quality design execution, attention to detail, and delivering polished, user-friendly products.

  • Collaboration & Feedback: Valuing open communication, constructive feedback, and working synergistically across disciplines to achieve common goals.

  • User-Centricity: A deep focus on understanding and addressing user needs to create meaningful and accessible experiences.

  • Ambiguity Tolerance & Proactiveness: Comfort with navigating undefined spaces, taking initiative, and driving projects forward with minimal direction.

Collaboration Style:

  • Cross-functional Partnership: Designers are expected to be active partners with engineering and product teams, contributing to strategic discussions and ensuring design vision is realized.

  • Open Feedback Loops: A culture that encourages regular design reviews and open channels for sharing work and receiving constructive criticism.

  • Knowledge Sharing: Encouraging team members to share insights, learnings, and best practices, particularly around new technologies like AI.

  • Iterative Improvement: A continuous process of refining designs based on feedback, data, and evolving project requirements.

📝 Enhancement Note: The emphasis on "genuinely new" design problems and the direct collaboration with founders suggests a culture that is highly innovative, agile, and potentially entrepreneurial. Designers are expected to be proactive problem-solvers who can thrive in a dynamic, forward-thinking environment.

⚡ Challenges & Growth Opportunities

Challenges:

  • Designing for Trust in AI: A primary challenge will be building user trust in AI systems that operate on their behalf, especially in a personal domain like food. This requires careful consideration of transparency, control, and error handling.

  • Balancing Complexity and Simplicity: The AI and robotics domain inherently involves complex functionalities. The challenge lies in translating this power into an effortless and intuitive user experience.

  • Navigating Ambiguity: Working on a product with "no established answers yet" means the designer will need to be comfortable defining problems, exploring solutions, and making decisions with incomplete information.

  • Rapid Technological Evolution: The AI and robotics landscape is constantly changing. The challenge is to stay abreast of advancements and integrate them effectively without compromising user experience or product stability.

Learning & Development Opportunities:

  • AI/ML Design Specialization: Gain deep expertise in designing for AI and machine learning applications, a highly sought-after skill.

  • Product Strategy Influence: Directly contribute to the strategic direction of a novel product line, working closely with company founders.

  • System Design Acumen: Enhance skills in designing scalable and consistent user experiences through the development and extension of design systems.

  • Exposure to Robotics: Gain insights into the intersection of software design and physical robotics, if applicable to the product's implementation.

  • Mentorship from Founders: Benefit from direct guidance and mentorship from the founders of the AI and Robotics team, offering invaluable leadership and strategic insights.

📝 Enhancement Note: The role presents a unique opportunity to tackle some of the most pressing challenges in AI product design today. Successfully navigating these will provide significant professional growth and position the designer as an expert in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

  • "How would you approach designing a user interface that builds trust in an AI system that makes food ordering decisions on behalf of the user?" (Focus on transparency, control, feedback mechanisms).

  • "Describe a time you had to simplify a highly complex technical feature into an intuitive user experience. What was your process?" (Highlight problem-solving, user-centricity, and simplification strategies).

  • "Imagine you're given a vague problem statement for a new AI-powered food recommendation feature. How would you begin to define the problem and explore potential solutions?" (Assess ability to handle ambiguity, ask clarifying questions, and propose a structured approach).

Company & Culture Questions:

  • "Why are you interested in working at Wonder, specifically on our AI and Robotics team?" (Research Wonder's mission, AI initiatives, and articulate alignment).

  • "How do you approach collaboration with engineering and product teams, especially when there are differing opinions on design direction?" (Discuss communication strategies, compromise, and advocacy for user needs).

  • "Describe your experience contributing to or evolving a design system. What are the key principles you follow?" (Showcase understanding of design systems and their importance for scalability).

Portfolio Presentation Strategy:

  • Tell a Story: For each project, frame it as a narrative with a clear beginning (the problem), middle (your process and solutions), and end (the outcome and impact).

  • Focus on AI/Personalization: Dedicate significant time to projects that showcase your expertise in AI-driven or personalized experiences. Explain the unique design considerations.

  • Highlight Ambiguity Navigation: If applicable, discuss projects where you had to define requirements or explore solutions in an ambiguous space.

  • Showcase Craft and Detail: Demonstrate your attention to detail in UI and interaction design, explaining why specific choices were made.

  • Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, the trade-offs you made, and the results of your work.

  • Discuss Tooling: Be ready to talk about the tools you used, including any AI tools, and how they aided your process.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to think critically about AI's role in user experience, their comfort with ambiguity, and their collaborative approach. Demonstrating a proactive, experimental mindset will be crucial.

📌 Application Steps

To apply for this Product Designer II position:

  • Submit your application through the provided Workday link: https://wonder.wd1.myworkdayjobs.com/WG/job/New-York-NY/Product-Designer-II_JR101067

  • Curate Your Portfolio: Select 2-4 of your strongest projects, prioritizing those relevant to consumer products, native mobile, and especially AI-powered or personalization-driven experiences. Ensure each project clearly articulates the problem, your process, your specific contributions, and the outcomes.

  • Tailor Your Resume: Highlight your 2-4 years of product design experience, key skills (UI, interaction, prototyping, AI design), and any shipped consumer products. Use keywords from the job description such as "end-to-end design," "AI-powered products," "design system," and "iOS/web."

  • Prepare Your Presentation: Practice walking through your portfolio projects, focusing on your design thinking, decision-making rationale, and the impact of your work. Be ready to discuss your experience with AI design tools and your approach to handling ambiguous problems.

  • Research Wonder: Understand Wonder's mission, its unique mealtime platform, and its focus on AI and Robotics. Prepare to articulate why you are excited about this specific opportunity and how your skills align with their innovative goals.

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

Application Requirements

Requires 2 to 4 years of product design experience with shipped consumer products, preferably native mobile. Candidates must possess a strong portfolio demonstrating polished UI, clear thinking, and experience with AI-powered or personalization-driven products.