Senior Product Designer, AI Registry
π Job Overview
Job Title: Senior Product Designer, AI Registry
Company: Babylist
Location: Canada
Job Type: Full-time
Category: Product Design / UX/UI
Date Posted: August 17, 2026
Experience Level: 5-10 years
Remote Status: Remote OK
π Role Summary
-
Lead the end-to-end user experience and interaction quality for the AI Registry product, ensuring intuitive, beautiful, and emotionally resonant design for expecting and new families.
-
Act as a hands-on builder, leveraging AI-native workflows to rapidly prototype, contribute production-quality front-end code, and drive polish without compromising speed.
-
Drive impactful business outcomes by deeply understanding user needs through research and data, translating insights into design decisions that support business goals.
-
Champion design excellence and contribute to the evolution of Babylist's design system across web and native mobile platforms, fostering coherence and consistency.
π Enhancement Note: The role emphasizes a hybrid approach of deep design ownership, rapid prototyping with AI assistance, and direct contribution to front-end code, indicating a need for a designer who is also a skilled implementer. The focus on "AI Registry" suggests a forward-thinking product vision where AI integration is core to the user experience.
π Primary Responsibilities
-
Own the complete user experience layer for the AI Registry, encompassing user flows, brand expression, information architecture, and interaction patterns across web and native mobile.
-
Define and set the standard for product quality, delight, and user experience by demonstrating best practices and actively teaching team members.
-
Conduct generative and evaluative user research, planning and executing studies to ground design decisions in real user behavior and feedback.
-
Develop and maintain reusable components, interaction patterns, and ensure consistency within Babylist's design system for both web and native mobile applications.
-
Operate with a high degree of agency, proactively identifying opportunities, creating conditions for success, and biasing toward action with a learning-as-you-go mindset.
-
Implement and refine user experiences by writing production front-end code, directly addressing details like transitions, micro-interactions, states, and keyboard behavior.
-
Leverage AI tools (e.g., Claude, ChatGPT) for tasks such as research synthesis, rapid prototyping, code generation, and interaction exploration, demonstrating and teaching AI-native workflows.
-
Collaborate closely with product managers, engineers, and analysts to ensure clear problem framing, sharp user insights, and efficient decision-making through effective communication and prototypes.
-
Facilitate design democratization by supporting AI-enabled workflows that involve non-designers in the design process, acting as a consultant and quality bar.
-
Instrument and track the performance of designed features, making data-informed iterate, pivot, or stop calls based on evidence.
π Enhancement Note: The responsibilities highlight a "builder" mentality, requiring not just design conceptualization but also hands-on implementation through front-end coding and direct use of AI tools. The emphasis on "outcome ownership" and "democratizing design" suggests a strategic and collaborative approach to product development.
π Skills & Qualifications
Education:
-
A Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is preferred, though equivalent practical experience will be strongly considered. Experience:
-
5-10 years of experience in product design, with a strong focus on consumer-facing products across web and native mobile platforms.
-
Demonstrated experience in owning the end-to-end design process for significant product features or surfaces.
-
Proven track record of shipping high-quality, user-centered products that have driven measurable business outcomes.
-
Experience working in an AI-forward, remote-first technology company is highly desirable. Required Skills:
-
Product Design & UX/UI: Expertise in user-centered design principles, interaction design, information architecture, and creating intuitive user flows.
-
Prototyping & Interaction Design: Proficiency in rapid prototyping tools (e.g., Figma, Framer) and the ability to translate concepts into interactive, high-fidelity prototypes within hours.
-
Front-End Development: Strong ability to write production-quality front-end code (e.g., HTML, CSS, JavaScript, relevant frameworks) to implement and polish designs.
-
Research & Data Analysis: Experience planning and conducting generative and evaluative research (user interviews, usability testing), and synthesizing qualitative and quantitative data to inform design decisions.
-
Design Systems: Experience contributing to and leveraging design systems for consistency and efficiency across platforms.
Preferred Skills:
-
AI Tool Proficiency: Demonstrated experience and curiosity in leveraging AI tools (e.g., Claude, ChatGPT, Midjourney) for design tasks, code generation, and workflow acceleration.
-
Mobile & Web Expertise: Deep understanding of design patterns and best practices for both native mobile (iOS/Android) and responsive web applications.
-
Systems Thinking: Ability to design for coherence across complex user journeys and product ecosystems.
-
Cross-functional Collaboration: Proven ability to partner effectively with product managers, engineers, and data analysts.
-
Outcome Ownership: Experience instrumenting designs and tracking key metrics to measure impact and drive iterations.
π Enhancement Note: The requirements emphasize a blend of traditional product design skills with modern development capabilities, particularly front-end coding and AI tool utilization. This dual-threat profile is crucial for the "AI-native builder" aspect of the role.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
-
A comprehensive portfolio showcasing shipped consumer products across web and native mobile, demonstrating ownership of the user experience layer from concept to launch.
-
Case studies that clearly articulate the problem, your design process, the role of AI and front-end coding in your solution, and the impact on user behavior and business metrics.
-
Examples of how you have leveraged AI tools to accelerate your design and development workflow, with clear explanations of the benefits and outcomes.
-
Demonstration of your ability to contribute production-quality front-end code, ideally with examples of implemented micro-interactions, polish, or complex UI elements.
-
Evidence of systems thinking, including contributions to or utilization of design systems to ensure coherence and scalability. Process Documentation:
-
Detailed explanations of your research methodologies, including how you plan, execute, and synthesize findings from generative and evaluative studies.
-
Documentation of your rapid prototyping process, highlighting the tools and techniques used to move from idea to interactive prototype quickly.
-
Showcase of your approach to working within an AI-native framework, illustrating how AI is integrated into your daily design and development workflows.
-
Examples of how you measure the success of your designs post-launch, including the metrics tracked and how they informed subsequent iterations or decisions.
π Enhancement Note: The portfolio requirements are highly specific, emphasizing the integration of AI, front-end coding, and demonstrable impact. Candidates must be prepared to showcase not just the final designs but also the process, tools, and outcomes, particularly those enabled by AI and direct implementation.
π΅ Compensation & Benefits
Salary Range:
-
Given the Senior level, location in Canada, and the specialized skill set (including front-end development and AI proficiency), a competitive salary range is expected. Based on industry benchmarks for Senior Product Designers with development skills in Canada, the estimated range is CAD $120,000 - $170,000 annually. This range can vary based on specific experience, the depth of front-end coding skills, and the extent of AI integration demonstrated. Benefits:
-
Company-paid medical, dental, and vision insurance.
-
Retirement savings plan with company matching.
-
Flexible spending accounts.
-
Generous paid parental leave.
-
Generous Paid Time Off (PTO).
-
Winter Wonder Week: A company-wide paid week off at the end of the year for collective rest and rejuvenation.
-
Remote work stipend to help set up an effective home office environment.
-
Comprehensive perks for physical, mental, and emotional health.
-
Support for parenting, childcare, and financial planning needs. Working Hours:
-
Standard full-time working hours are expected, typically around 40 hours per week. The remote-first nature of the company likely offers flexibility in daily scheduling, allowing for asynchronous collaboration and focus time, provided core responsibilities and team collaboration needs are met.
π Enhancement Note: The salary range is an estimation based on typical compensation for Senior Product Designers with advanced technical skills in Canada, considering the company's stated commitment to competitive pay. The benefits package is comprehensive, reflecting a strong employee support system.
π― Team & Company Context
π’ Company Culture
Industry: E-commerce (Baby & Parenting Products), Technology, AI
Company Size: Babylist has grown significantly, indicated by its $750M revenue in 2025 and expansion beyond its core registry service. While an exact employee count isn't provided, it operates as a modern, AI-forward tech company with team members across the US and Canada, suggesting a mid-to-large size organization with established operational processes and a significant market presence.
Founded: Babylist was founded with the mission to support expecting and new families, evolving from a universal registry to a comprehensive ecosystem. This long-standing mission informs its user-centric approach.
Team Structure:
-
The design team likely operates within a cross-functional pod structure, working closely with Product Managers, Engineers, and Data Analysts.
-
Reporting lines would typically lead to a Head of Design or VP of Product/Design, with direct collaboration across product development teams.
-
Cross-functional collaboration is a core tenet, with an emphasis on shared ownership and integrated workflows, particularly in an AI-native environment. Methodology:
-
Data-Driven Design: Decisions are grounded in user research (qualitative) and product analytics (quantitative).
-
Agile Development: Iterative development cycles are implied by the focus on rapid prototyping and shipping.
-
AI Integration: AI is not an experiment but an expectation, integrated into daily workflows for efficiency and innovation.
-
Outcome-Oriented: Focus on delivering tangible business results and moving key metrics.
Company Website: babylist.com
π Enhancement Note: Babylist positions itself as a user-centric company leveraging modern technology, including AI, to serve a critical life stage for families. The culture emphasizes speed, intelligence, and a strong sense of purpose, with AI as a fundamental tool for all employees.
π Career & Growth Analysis
Operations Career Level: This role is positioned at a Senior level, indicating a significant degree of autonomy, ownership, and the expectation to mentor and influence others. The responsibilities extend beyond individual contribution to setting standards and enabling team growth, particularly in AI integration and front-end development.
Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Head of Design. They will work closely in cross-functional teams (pods) comprising Product Managers, Engineers, and Data Analysts, acting as the primary advocate for user experience and design quality within these teams.
Operations Impact: The role directly impacts revenue and business decisions by shaping user experiences that drive engagement, conversion, and customer loyalty. By making the product intuitive, delightful, and effective, the designer contributes to Babylist's ability to capture market share and achieve its ambitious revenue goals ($750M in 2025). The focus on AI-native workflows also positions the company for future growth and innovation.
Growth Opportunities:
-
Specialization & Leadership: Opportunity to become a subject matter expert in AI-driven product design and front-end implementation within the company, potentially leading to principal designer roles or design leadership positions.
-
Skill Expansion: Continuous learning and development in cutting-edge AI technologies, advanced front-end techniques, and sophisticated user research methodologies.
-
Cross-Functional Influence: Develop deeper product strategy skills by working closely with PMs and engineers, influencing product roadmaps and business direction.
-
Mentorship: Potential to mentor junior designers and contribute to building a strong design culture within an AI-first organization.
π Enhancement Note: The Senior level implies a trajectory towards leadership or deep specialization. The emphasis on AI and front-end coding presents a unique growth path for designers looking to bridge the gap between design and development in an innovative tech environment.
π Work Environment
Office Type: Babylist operates on a remote-first model, meaning the primary work environment is home-based for most employees. The company fosters connection through semi-annual in-person gatherings.
Office Location(s): While remote-first, the company has team members across the U.S. and Canada, suggesting a distributed workforce. Specific physical office spaces might exist but are not the primary mode of operation. The role is open to candidates in Canada.
Workspace Context:
-
Collaborative Environment: Despite being remote, the culture emphasizes strong relationships and collaboration through virtual tools and in-person meetups. The design team will utilize digital collaboration platforms extensively.
-
Operations Tools & Technology: Access to leading AI tools (Claude, ChatGPT), design software (Figma), and development environments will be standard. The company invests in the tools necessary for efficient remote work and AI-enabled workflows.
-
Team Interaction: Regular virtual stand-ups, design critiques, and cross-functional meetings will facilitate interaction. The semi-annual gatherings are crucial for deeper team building and strategic alignment.
Work Schedule: The remote-first policy suggests flexibility in daily scheduling. Employees are expected to manage their time effectively to meet project deadlines, collaborate with team members across different time zones (primarily within Canada and the US), and ensure consistent availability for critical meetings and design processes.
π Enhancement Note: The remote-first nature requires self-discipline and strong communication skills. The company actively works to mitigate the challenges of remote work through structured interactions and in-person events, fostering a connected, AI-integrated work environment.
π Application & Portfolio Review Process
Interview Process:
-
Initial Screening: Application review, likely with AI assistance, followed by a recruiter screen to assess basic qualifications and cultural fit.
-
Portfolio Review & Design Challenge: Candidates will present their portfolio, focusing on case studies that demonstrate expertise in user-centered design, AI integration, front-end coding, and impact. A design challenge, potentially involving AI-driven problem-solving or rapid prototyping, may be assigned.
-
Hiring Manager/Team Interviews: In-depth discussions with the hiring manager and key team members (Product Managers, Engineers, other Designers) to assess strategic thinking, collaboration skills, and technical proficiency.
-
Final Round: Potentially a discussion with senior leadership to evaluate overall fit and strategic alignment.
Portfolio Review Tips:
-
Curate Strategically: Select 3-4 strong case studies that best represent your capabilities, focusing on projects where you had significant ownership and impact.
-
Highlight AI & Coding: Explicitly showcase how you used AI tools to accelerate your process or enhance outcomes. Detail your front-end coding contributions and their impact on the final user experience.
-
Quantify Impact: Use metrics and data to demonstrate the success of your designs. Explain how your work moved key business or user engagement metrics.
-
Tell a Story: Structure your case studies to tell a compelling narrative: problem, your unique approach (especially AI/coding), challenges, solutions, and measurable results.
-
Be Prepared for Questions: Anticipate questions about your design process, decision-making, collaboration, and how you handle constructive feedback.
Challenge Preparation:
-
Understand the Context: If a design challenge is given, thoroughly research Babylist's products, target audience, and current AI initiatives.
-
Embrace AI: Be ready to use AI tools to help you brainstorm, prototype, or even generate code snippets as part of the challenge.
-
Focus on Process: Demonstrate a clear, logical thought process, even if you don't arrive at a "perfect" solution within the time limit.
-
Communicate Effectively: Practice articulating your thoughts, design rationale, and proposed solutions clearly and concisely, as if presenting to stakeholders.
π Enhancement Note: The interview process will heavily scrutinize the candidate's ability to integrate AI and front-end development into their design practice. The portfolio is paramount, serving as the primary evidence of these capabilities.
π Tools & Technology Stack
Primary Tools:
-
Design & Prototyping: Figma (highly probable for collaborative design, prototyping, and design systems).
-
AI Tools: Claude, ChatGPT (explicitly mentioned), and potentially others for research synthesis, content generation, code assistance, and ideation.
-
Front-End Development: Proficiency in HTML, CSS, JavaScript, and potentially frameworks like React, Vue, or Swift/Kotlin for native mobile implementation. Version control systems like Git will be essential.
Analytics & Reporting:
-
Tools for tracking user behavior and product performance (e.g., Google Analytics, Amplitude, Mixpanel) will be used to inform design decisions and measure impact.
-
Data visualization tools to present insights to stakeholders. CRM & Automation:
-
While not directly a CRM role, understanding how design impacts user journeys within a CRM context could be beneficial.
-
Automation tools may be used in conjunction with AI for workflow optimization.
-
Integration tools to ensure seamless data flow between design, development, and analytics platforms.
π Enhancement Note: The emphasis on "AI-native" and "production front-end code" means candidates must be comfortable with a broader toolset than a traditional designer, integrating design software with development environments and AI platforms.
π₯ Team Culture & Values
Operations Values:
-
User-Centricity: A deep commitment to understanding and serving the needs of expecting and new families.
-
AI-Forward: Embracing AI as a fundamental tool for innovation, efficiency, and improved output across all roles.
-
Bias for Action: Encouraging proactivity, experimentation, and learning by doing.
-
Craftsmanship & Polish: A dedication to high-quality user experiences, paying attention to detail and emotional resonance.
-
Data-Informed Decisions: Grounding design and product choices in evidence from research and analytics.
-
Collaboration & Transparency: Working effectively in cross-functional teams and sharing knowledge openly.
Collaboration Style:
-
Cross-functional Integration: Designers are embedded within product teams, working closely with PMs, engineers, and data partners from ideation through launch and iteration.
-
Feedback Culture: Openness to giving and receiving constructive feedback on designs and processes, fostering continuous improvement.
-
Shared Literacy: Aiming to build understanding of design principles and AI capabilities across non-design roles to facilitate better collaboration and independent contributions.
-
Remote-First Empathy: Understanding and adapting to the nuances of remote collaboration, prioritizing clear communication and asynchronous workflows.
π Enhancement Note: The culture is defined by its proactive, AI-integrated, and user-focused approach. Collaboration is key, but it's framed within a remote-first context that requires deliberate effort and effective digital tooling.
β‘ Challenges & Growth Opportunities
Challenges:
-
Bridging Design and Development: Effectively balancing the demands of high-fidelity design, rapid AI-assisted prototyping, and writing production-quality front-end code.
-
AI Integration Maturity: Staying ahead of the rapidly evolving AI landscape and effectively integrating new tools and techniques into established workflows.
-
Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote environment, especially for a role requiring close collaboration.
-
Balancing Speed and Quality: Delivering high-quality, polished experiences quickly in an AI-accelerated environment without sacrificing user needs or long-term product health.
-
Defining "AI-Native": Establishing best practices and clear workflows for AI-native product development within the design and engineering teams.
Learning & Development Opportunities:
-
Cutting-Edge AI Tools: Hands-on experience with leading AI technologies and their application in product development.
-
Advanced Front-End Skills: Opportunity to hone and expand front-end development skills in a production environment.
-
Product Strategy: Deep involvement in product strategy through close collaboration with product management and business stakeholders.
-
Mentorship & Influence: Potential to mentor other designers and engineers, shaping the company's approach to AI-native design.
-
Industry Conferences & Training: Access to resources for professional development in design, AI, and front-end technologies.
π Enhancement Note: The challenges are directly tied to the unique demands of the roleβthe blend of design, development, and AI. The growth opportunities leverage these challenges, positioning the role as a significant step for career advancement in modern product development.
π‘ Interview Preparation
Strategy Questions:
-
"Describe a time you used AI to significantly accelerate your design process or improve product outcomes. What was the outcome, and how did you measure it?" (Focus on specific tools, workflows, and quantifiable results.)
-
"Walk us through a complex UI element or interaction you implemented using front-end code. What were the technical challenges, and how did you ensure a seamless user experience?" (Highlight your coding skills and attention to detail.)
-
"How do you approach designing for an AI-native product? What unique considerations do you take into account compared to traditional product design?" (Demonstrate understanding of AI's role in user experience.)
-
"Describe a situation where you had to balance user needs with business goals. How did you use data and user feedback to make your decision?" (Showcase your product savvy and data-driven approach.) Company & Culture Questions:
-
"What excites you most about Babylist's mission and your potential role in shaping the AI Registry?" (Research Babylist's mission and recent developments.)
-
"How do you see yourself contributing to a remote-first, AI-native culture? What are your strategies for effective remote collaboration?" (Align with the company's ways of working.)
-
"How do you approach learning new technologies, especially in the rapidly evolving AI space?" (Highlight your curiosity and continuous learning mindset.) Portfolio Presentation Strategy:
-
Structure Your Narrative: For each case study, clearly outline the problem, your role, the process (emphasizing AI and coding), the solution, and the impact.
-
Show, Don't Just Tell: Use visuals, prototypes, and live demos where possible. For coding contributions, consider providing code snippets or linking to relevant repositories if appropriate.
-
Quantify Everything: Be ready to discuss metrics, A/B test results, and user feedback that validate your design decisions and their impact.
-
Be Ready for Deep Dives: Expect questions about specific design choices, technical implementation details, and your thought process behind leveraging AI.
-
Practice Your Pitch: Rehearse your presentation to ensure it flows smoothly and fits within the allocated time, leaving ample room for Q&A.
π Enhancement Note: Interview preparation should heavily focus on demonstrating the fusion of design thinking, front-end development, and AI utilization. Candidates must be able to articulate their process and impact with concrete examples and data.
π Application Steps
To apply for this Senior Product Designer position:
-
Submit your application through the Babylist careers portal.
-
Curate Your Portfolio: Select case studies that prominently feature your experience in consumer product design, especially across web and mobile. Ensure these examples highlight your direct contributions to front-end code and your innovative use of AI tools in the design process.
-
Tailor Your Resume: Emphasize keywords related to product design, UX/UI, prototyping, front-end development (specific languages/frameworks), AI tools, user research, and design systems. Quantify your achievements with metrics where possible.
-
Prepare Your Narrative: Practice articulating your design process, problem-solving approach, and the impact of your work. Be ready to discuss specific examples of how you've used AI and coding to deliver exceptional user experiences and drive business outcomes.
-
Research Babylist: Understand Babylist's mission, products, target audience, and their commitment to an AI-native approach. Familiarize yourself with their culture and values to articulate your fit during interviews.
β οΈ 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
The ideal candidate is a craft-obsessed designer with a proven portfolio of shipped consumer products and experience in both research and front-end coding. You must be a systems thinker who is comfortable working in an AI-forward, remote-first environment.