Product Designer, Maternity Experience

📍 Job Overview

Job Title: Product Designer, Maternity Experience

Company: Maven Clinic

Location: New York, NY / Remote, US (Hub cities)

Job Type: Full-Time

Category: Product Design / HealthTech Operations

Date Posted: April 07, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid (with remote option for US-based candidates)

🚀 Role Summary

• AI-Native Product Design: Spearhead the design and development of member-facing maternity experiences, leveraging AI as a foundational element for innovation and efficiency.

• End-to-End Ownership: Take full responsibility for designing key maternity journeys and features, from initial 0→1 concepts through to shipped, impactful products.

• Accelerated Prototyping: Utilize AI-assisted coding tools to rapidly build functional, high-fidelity prototypes, moving beyond traditional static mockups to tangible, testable solutions.

• Agentic and Adaptive UX: Design intelligent, adaptive user experiences where AI proactively anticipates member needs, communicates confidence, and seamlessly connects users to human care at critical junctures.

• Trust and Safety in HealthTech: Define robust strategies for handling AI-driven uncertainty, managing AI fallbacks, and maintaining user trust within the sensitive context of high-stakes health information.

📝 Enhancement Note: This role is heavily focused on integrating AI into the core product design process, not as an afterthought. The "Maternity Experience" aspect implies a deep focus on empathy and user-centric design within a specific healthcare domain. The "AI fluency" and "vibe coding" requirements suggest a hands-on role that blends traditional design craft with practical implementation skills using emerging AI tools.

📈 Primary Responsibilities

• Design comprehensive maternity journeys and features, utilizing AI to significantly compress development timelines and explore a wider range of design options.

• Develop functional, high-fidelity prototypes using AI-assisted coding tools (e.g., Cursor, Claude Code, Relume) to create interactive experiences rather than solely static designs.

• Craft agentic and adaptive user experiences where AI intelligently anticipates member needs, clearly communicates its level of confidence, and facilitates timely connections to human care providers.

• Define and implement protocols for managing uncertainty within AI-driven features, establishing reliable AI fallback mechanisms, and ensuring user trust, especially in critical health scenarios.

• Collaborate closely with cross-functional teams including Engineering, Product Management, Clinical Experts, and Data Scientists to scope Minimum Viable Products (MVPs), shape AI model outputs into intuitive interfaces, and drive rapid product iteration.

• Contribute reusable, scalable AI-powered design patterns to the company's design system, focusing on elements like confidence indicators, seamless human-AI handoffs, and progressive disclosure of AI-generated content.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design thinking, hands-on technical execution with AI tools, and strong collaborative skills. The emphasis on "shipping with momentum" and "prototypes over presentations" indicates a fast-paced, results-oriented environment that values tangible output.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience, is highly valued.

Experience: 5-10 years of professional experience in product design, with a significant portion focused on user-facing applications. Proven experience in designing and shipping complex digital products, ideally within mobile and responsive web platforms.

Required Skills:

• AI Fluency: Daily, proficient use of AI tools (e.g., Claude, Figma AI, Relume, Cursor) with advanced prompting skills; AI is integral to your workflow.

• Vibe Coding / Functional Prototyping: Ability to translate design concepts into working prototypes using AI-assisted coding tools, demonstrating a practical understanding of code implementation.

• Technical Depth: Experience shipping code to production, with a solid understanding of how design decisions impact backend architecture and AI model behavior.

• Product Design Craft: A strong portfolio showcasing exceptional product design skills, with meticulous attention to edge cases, micro-interactions, and resilient user flows, not just standard "happy paths."

• Mobile & Web Design: Extensive experience designing intuitive and effective user experiences for both mobile applications and responsive web interfaces.

• Pace and Execution: Demonstrated ability to move quickly and efficiently without compromising design quality or user experience; preference for tangible prototypes over extensive presentations.

Preferred Skills:

• Experience in the healthcare or health tech industry, or other regulated domains, understanding the unique design challenges and compliance requirements.

• Prior experience working closely with Machine Learning (ML) or AI teams on the development of model-driven products.

• Familiarity with building or contributing to consumer-grade design systems, or advanced Figma features like variables and AI integrations.

📝 Enhancement Note: The "AI fluency" and "vibe coding" are critical differentiators for this role, indicating a need for candidates who are not just conceptual designers but also practical implementers comfortable with emerging AI development workflows. The experience level suggests a need for autonomy and the ability to lead design initiatives.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Integrated Case Studies: Showcase at least 2-3 detailed case studies demonstrating how AI was used to solve complex product challenges, accelerate design processes, or create novel user experiences.

• End-to-End Design Process: Clearly articulate your design process from problem definition and user research through to ideation, prototyping, user testing, and post-launch iteration, highlighting AI's role at each stage.

• Technical Implementation Examples: Include examples or links to functional prototypes built with AI-assisted coding tools, demonstrating your "vibe coding" capability.

• Edge Case & Resilience Design: Provide specific examples of how you've designed for edge cases, error states, and situations involving AI uncertainty or fallbacks to ensure a robust and trustworthy user experience.

• Metrics and Impact: Quantify the impact of your designs where possible, using metrics related to user engagement, task completion, efficiency gains (especially AI-driven), or clinical outcomes.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in mapping out and optimizing complex user workflows, particularly those involving human-AI interaction and handoffs.

• System Thinking: Illustrate your ability to design scalable, consistent patterns for AI-driven features that can be integrated into a broader design system and product architecture.

• Performance Analysis: Show how you use data and testing to analyze the performance of AI-powered features and iterate on designs for continuous improvement.

📝 Enhancement Note: The portfolio is crucial for this role, with a specific emphasis on demonstrating practical AI integration and "vibe coding" skills. Candidates should be prepared to walk through their process, highlighting how AI was a core enabler of their design solutions.

💵 Compensation & Benefits

Salary Range: $140,000 - $160,000 per year. This range is based on the provided information and industry benchmarks for a Product Designer with 5-10 years of experience in a major tech hub like New York, with a strong emphasis on AI and HealthTech.

Benefits:

• Comprehensive Health Coverage: Employer-covered health, dental, and insurance plan options.

• Maven for Mavens: Access to Maven Clinic's full platform and specialists for personal health needs, including mental health, reproductive health, family planning, and pediatrics.

• Whole-Self Care: Support through wellness partnerships.

• Work-Life Integration: Hybrid work model, in-office meals, and dedicated work-together days.

• Generous Parental Leave: 16 weeks of 100% paid parental leave and a new parent stipend (for employees with 1+ year of tenure).

• Professional Development: Annual stipend for professional development and access to a personal career coach via Maven for Mavens.

• Retirement Savings: 401K matching for US-based employees with immediate vesting.

• Equity: Opportunity to receive company equity.

Working Hours: Standard full-time hours are assumed (approximately 40 hours per week), with a focus on efficient output and flexibility inherent in a hybrid/remote model.

📝 Enhancement Note: The salary range is explicitly provided. The benefits package is extensive, with a unique "Maven for Mavens" offering that aligns with the company's mission and provides significant personal value to employees. The equity component indicates potential for long-term financial upside.

🎯 Team & Company Context

🏢 Company Culture

Industry: HealthTech, Women's Health, Family Services. Maven Clinic operates at the intersection of technology and healthcare, aiming to revolutionize access and quality of care for women and families.

Company Size: Mid-sized to Large (likely 200-500+ employees based on funding and awards). This size suggests a dynamic environment with established processes but still room for agility and individual impact.

Founded: 2014. With a decade of operation and significant funding, Maven Clinic has a mature product and a strong market presence.

Team Structure:

• The Maternity team is responsible for designing the core user journeys within this specific care area.

• You will likely report to a Design Lead or Head of Product Design within the Maternity vertical or a broader product organization.

Methodology:

• Data-Driven & Empathetic Design: Combining rigorous data analysis with deep user empathy to inform product decisions, especially critical in healthcare.

• Agile & Iterative Development: A focus on rapid iteration, MVPs, and continuous improvement, amplified by AI's speed.

• Mission-Oriented: A strong emphasis on the company's mission to make healthcare work for everyone, driving a sense of purpose among employees.

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

📝 Enhancement Note: Maven Clinic is a well-established HealthTech company with a strong mission and numerous workplace awards, indicating a positive and innovative culture. The "AI-forward" nature of this role suggests a company that is willing to invest in and experiment with cutting-edge technology to achieve its goals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior Product Designer, implying a significant level of autonomy, expertise, and the ability to influence product direction. It's not an entry-level or junior position, nor is it typically a management role unless specified.

Reporting Structure: You would likely report to a Design Manager or Director, within a Product team focused on the Maternity vertical. This structure allows for specialized focus while being part of a larger product organization.

Operations Impact: As a Product Designer, your impact is directly on the user experience, engagement, and ultimately the clinical outcomes and satisfaction of Maven's members. By designing effective AI-powered tools, you can contribute to improved care access, reduced costs, and enhanced user trust, aligning directly with Maven's business objectives.

Growth Opportunities:

• AI Specialization: Deepen expertise in designing AI-native products and user experiences, becoming a leader in this emerging field within HealthTech.

• Product Leadership: Transition into senior product roles, potentially leading design initiatives, managing design teams, or taking on broader product strategy responsibilities.

• Domain Expertise: Develop deep knowledge in women's and family health, becoming a go-to expert in designing for complex healthcare journeys.

• Cross-Functional Influence: Gain experience influencing engineering and product roadmaps through compelling design solutions and strategic insights.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI integration in product design within the vital HealthTech sector. The growth path likely involves deepening AI expertise, expanding product ownership, or moving into leadership positions.

🌐 Work Environment

Office Type: Maven Clinic operates a hybrid model, with a presence in New York City. This suggests a blend of in-office collaboration and remote flexibility. The company emphasizes "work together days" and "in-office meals," indicating a desire for intentional in-person interaction.

Office Location(s): New York, NY is a primary hub. Remote options are available for US-based candidates, potentially with requirements to be near "hub cities" for occasional in-person collaboration.

Workspace Context:

• Collaborative & Mission-Driven: Expect a work environment that values collaboration, innovation, and a shared commitment to the company's mission.

• Tech-Forward: Access to modern design and development tools, including cutting-edge AI platforms and collaboration software.

• Cross-Functional Interaction: Frequent opportunities to work with diverse teams, fostering a dynamic and intellectually stimulating environment.

Work Schedule: While typically a standard 40-hour work week, the hybrid and remote nature, combined with a focus on output, likely offers some flexibility in managing work hours to accommodate design processes and deep work sessions.

📝 Enhancement Note: The hybrid model combined with remote options provides flexibility, but the emphasis on "work together days" suggests that intentional in-person collaboration is still a valued component of the company culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess fit with the role's requirements, particularly AI fluency and design craft.

• Portfolio Presentation & Design Challenge: A session where you present your portfolio, focusing on AI-integrated case studies and your design process. You may also be given a small design challenge to assess your problem-solving skills and approach to AI-driven design.

• Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially Clinical stakeholders to evaluate collaboration style, technical understanding, and domain empathy.

• Hiring Manager/Design Lead Interview: A deeper dive into your experience, leadership potential, and cultural fit.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how and why AI was used in your projects. Showcase specific examples of AI-assisted ideation, prototyping, or feature development.

• Demonstrate "Vibe Coding": If possible, include links to live prototypes or interactive demos built with AI coding tools. Be prepared to discuss the technical aspects and your experience with these tools.

• Showcase Resilience: Detail your approach to designing for edge cases, AI uncertainty, and building user trust in sensitive health contexts.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success and impact of your designs, especially those enhanced by AI.

• Tell a Story: Frame your case studies as narratives that highlight the problem, your process, the AI-driven solution, and the measurable outcomes.

Challenge Preparation:

• AI-First Thinking: Practice approaching design problems with an AI-native mindset, considering how AI can fundamentally change the solution, not just augment existing ones.

• Prompt Engineering Basics: Brush up on your ability to articulate design requirements and constraints clearly for AI tools.

• Healthcare Context: If you have limited healthcare experience, research common challenges and user needs in maternity care.

• Trust and Safety Design: Be prepared to discuss how you would build trust and manage risk in an AI-powered health product.

📝 Enhancement Note: The interview process will heavily scrutinize your AI capabilities and your ability to translate them into tangible product designs. Your portfolio is your primary tool for demonstrating these skills.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (with potential use of AI features and variables), potentially Sketch.

• AI-Assisted Coding: Cursor, Claude Code, Relume, or similar AI coding assistants for rapid prototyping and functional implementation.

• Collaboration: Slack, Zoom, Jira, Confluence.

Analytics & Reporting:

• Experience with product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) for understanding user behavior and feature performance.

CRM & Automation:

• While not directly a CRM role, understanding how design impacts user journeys within a CRM context could be beneficial.

• Familiarity with automation principles that can be applied to design workflows or user experiences.

📝 Enhancement Note: Proficiency with Figma is standard, but the critical differentiator is hands-on experience with AI coding assistants like Cursor and Claude Code. A strong understanding of how design interacts with analytics for iterative improvement is also key.

👥 Team Culture & Values

Operations Values:

• Member Obsession: A deep commitment to understanding and serving the needs of users navigating pregnancy, birth, and postpartum.

• AI-Native Innovation: A proactive and enthusiastic approach to leveraging AI to redefine possibilities in product development and user experience.

• Trustworthiness: A foundational value, especially critical in healthcare, ensuring that AI systems are reliable, transparent, and safe.

• Empathy and Warmth: Designing intelligent systems that feel approachable, supportive, and human-centered.

• Speed and Agility: A culture that values rapid iteration, quick learning, and the ability to adapt to evolving technologies and user needs.

Collaboration Style:

• Cross-Functional Partnership: Strong emphasis on close collaboration with Engineering, Product Management, Clinical, and Data teams, fostering a shared understanding and ownership.

• Iterative Feedback Loops: Openness to continuous feedback from peers and stakeholders to refine designs and product direction.

• Prototyping-Focused Communication: Using functional prototypes as a primary means of communication and validation, ensuring clarity and shared understanding.

📝 Enhancement Note: The company culture appears to be a blend of mission-driven purpose, cutting-edge technological adoption (AI), and a strong focus on user empathy within the healthcare domain.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: Developing robust strategies to manage situations where AI responses may be imperfect or uncertain, ensuring user trust and safety.

• Balancing AI and Human Care: Seamlessly integrating AI-powered features with human clinical touchpoints to create a holistic and supportive member experience.

• Rapid Technological Evolution: Staying ahead of the curve with rapidly advancing AI technologies and their application in product design.

• Healthcare Regulations: Navigating the complexities of designing within a regulated industry like healthcare, ensuring compliance and ethical considerations.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a recognized expert in AI-native product design, potentially leading workshops or contributing to industry best practices.

• HealthTech Domain Mastery: Deepening knowledge in women's and family health, understanding the nuances of clinical pathways and patient journeys.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and potentially move into design management roles.

• Exposure to Advanced AI/ML: Working directly with AI/ML teams provides continuous learning opportunities about model capabilities and limitations.

📝 Enhancement Note: This role presents significant challenges at the forefront of AI in design, offering commensurate growth opportunities for individuals eager to innovate in a critical sector.

💡 Interview Preparation

Strategy Questions:

• AI-First Product Strategy: "How would you approach designing a new AI-powered feature for maternity care that doesn't simply automate a current process, but fundamentally changes the user experience?" (Focus on AI's unique capabilities, user value, and potential impact.)

• AI Trust and Fallbacks: "Describe a scenario where an AI might provide incorrect or misleading health information during pregnancy. How would you design the system to handle this, ensure user safety, and maintain trust?" (Focus on user experience design for uncertainty, transparency, and human intervention.)

• Prototyping with AI: "Walk us through a recent project where you used AI-assisted coding tools to build a functional prototype. What were the benefits and challenges compared to traditional prototyping methods?" (Be ready to discuss specific tools, your process, and outcomes.)

Company & Culture Questions:

• Mission Alignment: "Why are you drawn to Maven Clinic's mission, and how does your passion for AI design align with our goal of improving healthcare for women and families?" (Connect your personal motivations to the company's purpose.)

• AI Ethics in Health: "What are your primary ethical considerations when designing AI-powered products in the healthcare space?" (Demonstrate awareness of responsible AI principles.)

• Collaboration Style: "Describe your experience working with engineering teams on complex technical projects, particularly those involving new technologies like AI." (Highlight teamwork, communication, and ability to bridge design and technical gaps.)

Portfolio Presentation Strategy:

• Narrative Flow: Structure your presentation around clear problem statements, your unique AI-driven solutions, and measurable results.

• AI Deep Dive: Dedicate specific time to explaining the AI components of your projects – the tools used, the prompts, the outcomes, and the impact on the design process and final product.

• Show, Don't Just Tell: Whenever possible, use live demos or interactive prototypes to showcase your "vibe coding" skills and the tangible output of your work.

• Address Edge Cases: Proactively discuss how you designed for potential issues, AI fallbacks, and user trust, especially in sensitive contexts.

📝 Enhancement Note: Be prepared to deeply discuss your AI expertise, practical application of AI tools, and your ability to navigate the unique challenges of designing for healthcare with AI.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided greenhouse.io link.

• Portfolio Customization: Tailor your portfolio to prominently feature projects demonstrating AI fluency, "vibe coding" capabilities, and experience designing for complex user journeys (ideally in regulated or health-related fields). Ensure your case studies clearly articulate the AI integration and its impact.

• Resume Optimization: Highlight keywords such as "Product Designer," "AI," "Machine Learning," "Prototyping," "Figma," "HealthTech," "User Experience," "Mobile Design," and any specific AI coding tools mentioned (Cursor, Claude Code). Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your design process, focusing on how AI accelerates and enhances your work. Prepare to walk through your portfolio, especially AI-driven case studies, and discuss your approach to user trust and AI uncertainty in healthcare.

• Company Research: Familiarize yourself with Maven Clinic's mission, values, product offerings (especially in maternity care), and recent achievements. Understand their position in the HealthTech market and their commitment to AI innovation.

⚠️ 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.

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