Senior Product Designer - Growth, Digital Commerce- Vancouver

📍 Job Overview

Job Title: Senior Product Designer - Growth, Digital Commerce

Company: Cover Genius

Location: Vancouver, British Columbia, Canada

Job Type: Full-Time

Category: Product Design / Growth Design / UX Design

Date Posted: May 22, 2026

Experience Level: 8+ Years (Senior Level)

Remote Status: Hybrid (3 days in office, 2 days remote)

🚀 Role Summary

• Lead the design and optimization of high-converting embedded insurance purchase experiences within partner platforms, directly impacting attach rates and revenue.

• Drive end-to-end design strategy for insurance offer surfaces, sales panels, and product comparison flows, ensuring seamless integration and adherence to diverse brand guidelines.

• Pioneer and integrate AI tools across the design workflow, from rapid prototyping and variant generation to AI-assisted research and experimentation, to accelerate insight development and testing velocity.

• Own the design side of conversion optimization, focusing on measurable commercial outcomes and contributing to the evolution of Cover Genius's design system for scalable component development.

• Collaborate closely with Product, Engineering, Growth, and Marketing teams to translate growth hypotheses into testable design solutions and advocate for design-led experimentation.

📝 Enhancement Note: This role is positioned as a Senior Product Designer with a strong emphasis on Growth Design and the pioneering integration of Artificial Intelligence into the design process. The focus on "embedded" and "digital commerce" suggests a need for expertise in user experiences that seamlessly integrate into third-party platforms, particularly in e-commerce checkout flows, travel bookings, and fintech applications. The AI-forward aspect indicates a requirement for candidates who not only use AI tools but can also champion their adoption and develop new AI-augmented design methodologies.

📈 Primary Responsibilities

• Lead the design, development, and iterative optimization of embedded insurance purchase flows, offer surfaces, sales panels, and product comparison experiences that directly drive attach rate and conversion metrics within partner platforms.

• Architect clear and intuitive information architecture for complex insurance journeys, effectively structuring product options, coverage details, pricing, and legal disclosures to facilitate swift, confident customer decisions.

• Apply advanced interaction design principles to multi-step flows, including progressive disclosure, smart defaults, inline validation, robust error recovery, and the implementation of trust-building patterns such as social proof, security signals, and transparency cues.

• Map comprehensive end-to-end user journeys across diverse embedded contexts, accurately identifying key insurance touchpoints within a partner's existing flow and designing seamless, user-friendly handoffs.

• Design responsive, cross-platform experiences optimized for desktop, mobile web, and in-app webviews, meticulously accounting for the technical constraints of embedded iframes and partner viewport limitations.

• Adapt UI solutions to align with a wide array of partner brand guidelines, platform constraints, regulatory requirements, and diverse integration patterns, ensuring a consistent yet contextually appropriate user experience.

• Develop high-fidelity prototypes and detailed specifications that adhere to Cover Genius's design system while demonstrating flexibility to accommodate partner-specific requirements and the inherent complexity of insurance products.

• Ensure all insurance experiences meet stringent accessibility standards (WCAG 2.1 AA minimum), with a particular focus on accessible form design, clear error states, and effective screen reader compatibility.

• Proactively manage multiple concurrent projects across various partner integrations, maintaining high standards of quality and consistent momentum.

• Collaborate closely with engineering teams to guarantee the high-quality implementation of insurance experiences across diverse partner technology environments.

• Define and create component variations and UI treatments for insurance offer surfaces, specifically engineered for A/B testing and rapid experimentation within partner environments.

• Translate growth hypotheses into actionable, testable design solutions in close partnership with Product and Growth teams, actively advocating for design-led experimentation to enhance insurance attach and conversion rates.

• Identify and systematically reduce friction points across insurance product discovery, quoting, comparison, and checkout flows through rigorous data analysis and user research methodologies.

• Own the design perspective of insurance conversion optimization, focusing on key performance indicators such as attach rates, quote-to-bind funnels, and overall revenue impact, rather than solely on usability metrics.

• Leverage generative AI tools (e.g., LLMs, image generators, code assistants) to accelerate prototyping, generate design variants, explore copy options, and expedite asset creation.

• Apply AI-assisted research and synthesis workflows to rapidly distill user insights, competitive analysis, and data patterns into actionable design directions.

• Integrate AI into experimentation workflows, facilitating the generation of test hypotheses, the production of personalized content variants at scale, and the accelerated analysis of experiment results.

• Evaluate and introduce new AI tools, plugins, and workflows to the design team, developing lightweight playbooks to encourage team-wide adoption.

• Pioneer AI-native design methods (e.g., prompt-driven UI generation, AI-assisted design QA, automated accessibility checks) and meticulously document learnings for broader team adoption.

• Plan, conduct, and facilitate generative and evaluative user research, including discovery interviews, journey mapping workshops, and usability testing, to inform design direction and validate strategic decisions.

• Build and maintain repeatable testing practices within the domain, incorporating lightweight unmoderated testing for rapid iteration cycles.

• Utilize AI-powered synthesis tools to efficiently process qualitative and quantitative research data, surfacing critical patterns that inform design decisions.

• Partner with content designers to ensure insurance language, disclosures, and trust messaging are rigorously tested in conjunction with UI patterns.

• Drive the evolution of Cover Genius's design system, focusing on building flexible, scalable components that perform effectively across a wide range of partner contexts and insurance product types.

• Articulate design rationale with clarity and precision to both internal teams and external partners, including presenting insurance experience designs directly to senior partner stakeholders.

📝 Enhancement Note: The responsibilities are extensive, covering core design, growth, AI integration, research, and leadership. The emphasis on "embedded," "white-label," "conversion," and "commercial outcomes" highlights the need for a designer who understands business metrics and can apply design thinking to drive tangible results. The AI responsibilities are particularly detailed, indicating a forward-thinking approach and a requirement for practical experience with AI tools in design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and practical experience equivalent to a Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field is implied.

Experience: 8+ years of dedicated experience in product/UX design, with a significant focus on conversion-driven digital products within e-commerce, marketplace, or fintech environments. Prior experience with SaaS or enterprise platforms is noted as less relevant.

Required Skills:

• Proven experience in growth design, evidenced by a track record of A/B testing, funnel optimization, and experiment-led iteration with measurable commercial outcomes (attach rate, conversion, revenue). Case studies demonstrating quantitative results are essential.

• Strong UX fundamentals, including deep expertise in information architecture, user journey mapping, interaction design, and advanced form/flow design for complex, multi-step transactional experiences.

• Experience designing embedded or white-label experiences that successfully integrate into third-party platforms, demonstrating an understanding of the constraints and nuances of designing for external brand contexts.

• Proficient in interaction design, with a demonstrated ability to craft progressive disclosure, effective error handling, trust-building patterns, smart defaults, and thorough edge-case thinking for flows where clarity and confidence are paramount to conversion.

• Experience designing responsive experiences across desktop, mobile web, and in-app webviews; previous work within embedded iframe or widget constraints is a significant advantage.

• Strong product discovery skills, including the ability to identify user needs, map competitive landscapes, and surface actionable design opportunities.

• Meticulous attention to detail in visual design, with a keen eye for micro-interactions, spacing, typography, and pixel-level craft.

• Working knowledge of accessibility standards (WCAG 2.1 AA minimum) and practical experience designing inclusive transactional experiences.

• High proficiency in Figma, including advanced interactive prototyping capabilities and experience working within established design systems.

• Familiarity with core analytics platforms (e.g., GA4, Amplitude) and experimentation tools (e.g., Optimizely, LaunchDarkly) to inform design decisions and measure impact.

• Excellent communication and presentation skills, with the ability to articulate design rationale clearly to both internal stakeholders and external partners, including experience presenting to senior or external audiences.

• Proven experience leading design workstreams within cross-functional teams encompassing product, engineering, growth, marketing, and content, demonstrating leadership beyond individual contribution.

AI Specific Requirements:

• Demonstrated, active use of AI tools in your design workflow, evidenced by shipped work or documented process improvements.

• Experience utilizing LLMs (e.g., Claude, ChatGPT, Copilot) for tasks such as copy generation, UX writing variants, research synthesis, or design exploration.

• Familiarity with AI-powered design and prototyping tools (e.g., Galileo AI, Figma AI features, Mid-journey/DALL-E for concept exploration).

• Experience or strong interest in using AI within experimentation workflows, including generating test variants, personalizing content, or accelerating analysis.

Preferred Skills:

• Experience designing for insurance or other regulated financial products.

• Experience with international markets and localization considerations.

• Familiarity with various partner integration technologies and their design implications.

• A portfolio showcasing a strong understanding of user psychology in conversion-driven scenarios.

📝 Enhancement Note: The requirements emphasize a blend of deep UX craft, strong growth-hacking instincts, and cutting-edge AI proficiency. The explicit request for "case studies required, we want to see the numbers" and "Demonstrated, active use of AI tools... not theoretical interest" highlights the critical need for candidates to showcase tangible results and practical AI application. The distinction between leading workstreams versus just contributing is key for a senior role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Growth-focused Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in designing and optimizing conversion-driven experiences (e.g., e-commerce checkouts, upsells, embedded offers). Each case study must clearly articulate the problem, your design process, the specific growth strategies employed, the AI tools used (if applicable), and quantifiable results (e.g., increase in attach rate, conversion rate improvements, revenue uplift).

• Embedded/White-Label Design Examples: Include examples of designs that were integrated into third-party platforms, demonstrating your ability to adapt to diverse brand guidelines and technical constraints. Highlight how you maintained user experience quality within these embedded contexts.

• Interaction Design Excellence: Present examples showcasing sophisticated interaction design patterns, particularly for multi-step flows, error handling, and trust-building elements. Demonstrate how these interactions contribute to user confidence and conversion.

• AI Integration Showcase: Dedicate a section or integrate within case studies examples of how you've actively used AI tools (generative AI, LLMs, AI-assisted research) to enhance your design process, accelerate output, or uncover insights. Explain the specific tools used and the impact on your workflow or results.

• Design System Contribution/Utilization: If applicable, showcase examples of your work with or contribution to design systems, illustrating your understanding of scalability, consistency, and component-based design.

Process Documentation:

• User Journey Maps & Flow Diagrams: Provide examples of detailed user journey maps and flow diagrams that illustrate your understanding of complex user paths, particularly within transactional or embedded contexts.

• Wireframes & Prototypes: Include examples of wireframes and interactive prototypes (preferably from Figma) that demonstrate your ability to translate user needs and business requirements into functional and testable designs.

• Usability Testing & Research Synthesis: Present documentation or summaries of user research activities, including usability test plans, findings, and how research insights directly informed design iterations and improvements. Highlight any use of AI for research synthesis.

• Design Specifications & Handoffs: Showcase examples of clear, detailed design specifications provided to engineering teams, ensuring successful implementation of complex interactive elements and responsive layouts.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating quantifiable impact ("numbers"), experience with embedded/white-label designs, and practical application of AI tools. Candidates must be prepared to walk through their process, articulate their decision-making, and clearly show how their designs drove business outcomes.

💵 Compensation & Benefits

Salary Range: C$120,000 - C$150,000 per year.

Benefits:

• Flexible Work Environment: Hybrid model with 3 days in the office (Monday, Tuesday, Friday) and 2 days remote (Wednesday, Thursday), with flexibility around start/finish times.

• Flexible PTO: Generous paid time off to encourage work-life balance and personal well-being.

• Employee Stock Options: Opportunity to share in the company's success through ownership and equity.

• CG Gives Philanthropy Program: A unique program that enables employees to become involved in social entrepreneurship and fund development initiatives.

• Social Initiatives: Company-sponsored events and activities designed to foster team cohesion and engagement.

• Comprehensive Health Benefits: (Implied, standard for full-time roles, but not explicitly detailed in the provided text).

Working Hours: Standard 40 hours per week, with flexibility around start and finish times.

📝 Enhancement Note: The salary range is competitive for a Senior Product Designer role in Vancouver, especially one with a growth and AI focus. The benefits package emphasizes flexibility, ownership, and social responsibility, aligning with the company's stated values. The hybrid work model is clearly defined.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurtech (Insurance Technology), Digital Commerce, Fintech. Cover Genius operates at the intersection of these rapidly evolving sectors, providing embedded insurance solutions for global digital companies.

Company Size: Part of a Series E funded company, indicating significant growth and scale. The specific number of employees is not provided, but a global presence across 20+ countries suggests a substantial organization.

Founded: The founding date is not provided, but the company's Series E funding round signifies maturity and significant market traction.

Team Structure:

• The role sits within the Embedded Insurance team, focusing on growth and digital commerce experiences.

• The designer will work closely with Product Managers, Engineers, Growth Marketers, and Content Designers, indicating a highly collaborative, cross-functional environment.

• The role involves presenting directly to external partners, suggesting a need for strong client-facing communication skills.

Methodology:

• AI-Forward Design: A core tenet of the team's methodology is the proactive integration of AI tools into every phase of the design workflow. This includes generative AI for rapid prototyping, AI-assisted research synthesis, and AI within experimentation workflows for personalization and testing velocity.

• Experimentation-Led Growth: The team emphasizes rapid experimentation (A/B testing) to drive commercial outcomes, with design playing a crucial role in defining hypotheses and creating testable solutions.

• Data-Informed Decisions: Design decisions are heavily influenced by data analysis, user research, and performance metrics like attach rates and conversion.

• Design System Driven: The team utilizes and evolves a design system to ensure consistency, scalability, and efficiency across various partner integrations.

• Agile & Iterative: The nature of growth design and working with partners implies an agile and iterative approach to product development.

Company Website: https://covergenius.com/

📝 Enhancement Note: Cover Genius positions itself as a fast-growing, innovative insurtech leader. The culture emphasizes boldness, authenticity, purpose, and inspiration, contrasting with traditional, complacent, or cautious approaches. The AI-forward methodology is a key differentiator and a critical expectation for this role.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer position, implying a high level of autonomy, ownership, and strategic contribution. It requires not just execution but leadership in design workstreams, mentoring capabilities, and the ability to influence product strategy and commercial outcomes.

Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Design Lead, Head of Design, or a Product Management lead. The role involves close collaboration with cross-functional teams including Product, Engineering, and Growth.

Operations Impact: The role's primary impact is on commercial outcomes, specifically driving attach rates, conversion rates, and revenue through optimized insurance purchase experiences embedded within partner platforms. The designer is directly responsible for measurable business results, not just user satisfaction.

Growth Opportunities:

• AI Design Leadership: Opportunity to become a leader in AI-augmented design practices, shaping how the team leverages AI for innovation and efficiency. This includes documenting learnings, creating playbooks, and potentially presenting on AI in design.

• Growth Design Specialization: Deepen expertise in conversion rate optimization, A/B testing, and data-driven product development within the high-growth insurtech sector.

• Partner Engagement & Influence: Gain experience presenting designs and design strategy directly to external enterprise partners, influencing their integration strategies and user experiences.

• Design System Evolution: Contribute significantly to the development and strategic direction of Cover Genius's design system, ensuring its scalability and effectiveness across diverse partner ecosystems.

• Mentorship & Team Development: Opportunity to mentor junior designers, share best practices, and contribute to the overall growth and skill development of the design team.

• Career Progression: Potential pathways to Lead Product Designer, Design Manager, or specialized roles in Growth Design or AI Design Strategy within Cover Genius.

📝 Enhancement Note: This role offers significant growth potential for designers looking to specialize in conversion optimization, AI-driven design, and strategic product leadership within a fast-paced, innovative industry. The emphasis on measurable impact and leadership makes it an attractive position for experienced professionals.

🌐 Work Environment

Office Type: Hybrid work model. Employees are expected to be in the office three days a week (Monday, Tuesday, Friday) and work remotely two days a week (Wednesday, Thursday). This suggests a structured approach to in-person collaboration while maintaining flexibility.

Office Location(s): Vancouver, British Columbia, Canada. The specific office address or details about the workspace are not provided, but the location is confirmed.

Workspace Context:

• Collaborative Environment: The hybrid model is designed to facilitate in-person collaboration on core office days, fostering team cohesion and spontaneous idea exchange.

• Operations Tools & Technology: Access to industry-standard design tools (Figma), prototyping software, analytics platforms (GA4, Amplitude), and experimentation tools (Optimizely, LaunchDarkly) is expected. The role also requires the use of various AI tools for design augmentation.

• Cross-functional Interaction: The role necessitates significant interaction with Product, Engineering, Growth, and Marketing teams, promoting a dynamic and integrated work environment.

Work Schedule: A standard 40-hour work week is implied, with noted flexibility in start and finish times. This allows operations professionals to manage their schedules effectively while ensuring core working hours for collaboration.

📝 Enhancement Note: The hybrid model is a key feature, balancing the benefits of in-person collaboration with the flexibility of remote work. The emphasis on cross-functional interaction is typical for growth-oriented product teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess fit with the core requirements, particularly experience in e-commerce/fintech, growth design, and AI application.

• Portfolio Presentation & Design Challenge: A session where you will present your portfolio, likely focusing on 1-2 key case studies demonstrating your growth design impact and AI integration. This may be followed by a design challenge or a deep dive into specific design problems relevant to embedded insurance. Expect to discuss your thought process, methodologies, and quantifiable results.

• Cross-Functional Interviews: Meetings with key stakeholders from Product, Engineering, and Growth teams to assess collaboration style, technical understanding, and alignment with team objectives. Questions will likely focus on problem-solving, stakeholder management, and your approach to experimentation.

• Hiring Manager/Senior Leadership Interview: A final discussion to evaluate leadership potential, strategic thinking, cultural fit, and overall suitability for the senior role. This stage may involve broader discussions about design strategy, AI adoption, and career aspirations.

Portfolio Review Tips:

• Quantify Everything: Prioritize case studies that clearly demonstrate measurable commercial outcomes (attach rates, conversion lifts, revenue impact). Be prepared to explain the metrics and your role in achieving them.

• Showcase AI Integration: Clearly articulate how you've used AI tools in your design process. This could be through specific examples in case studies or a dedicated section highlighting your AI-native workflow.

• Focus on Embedded Context: Highlight projects where you designed for integration into third-party platforms, explaining how you navigated brand constraints and technical limitations.

• Tell a Story: Structure your case studies as compelling narratives that highlight your problem-solving skills, design process, and the impact of your contributions.

• Demonstrate Leadership: For a senior role, showcase instances where you led design workstreams, mentored others, or influenced strategic decisions, not just individual contributions.

• Prepare for Technical Questions: Be ready to discuss your Figma proficiency, experience with design systems, and familiarity with analytics and experimentation tools.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with embedded insurance, digital commerce checkout flows, and common conversion optimization strategies.

• Think Like a Growth Designer: Approach any challenge with a hypothesis-driven mindset, focusing on identifying friction points and proposing testable solutions that drive key business metrics.

• AI Integration: Consider how AI tools could be leveraged within the challenge context, whether for ideation, prototyping, or analysis.

• Structure Your Response: Clearly articulate your problem-solving approach, design decisions, and anticipated outcomes, similar to how you would present a portfolio case study.

📝 Enhancement Note: The interview process is designed to rigorously assess not only design skills but also the candidate's ability to drive business results, lead initiatives, and embrace AI as a core part of their workflow. A strong, data-backed portfolio with clear evidence of AI usage is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, and working within design systems. Proficiency in interactive prototyping and advanced features is essential.

• Generative AI Tools: Active use of LLMs (e.g., Claude, ChatGPT, Copilot) for tasks like copy generation, UX writing variants, research synthesis, and design exploration.

• AI-Powered Design Tools: Familiarity with or willingness to explore AI-driven design and prototyping tools (e.g., Galileo AI, Figma AI features, Mid-journey/DALL-E for concept exploration).

Analytics & Reporting:

• Google Analytics 4 (GA4): For tracking user behavior, conversion funnels, and website performance.

• Amplitude: A product analytics platform for understanding user engagement and product usage patterns.

Experimentation Tools:

• Optimizely: A leading platform for A/B testing, feature flagging, and experimentation.

• LaunchDarkly: Primarily for feature flagging, but often used in conjunction with experimentation platforms.

CRM & Automation:

Integration & Collaboration Tools:

• Jira/Confluence: Likely used for project management, task tracking, and documentation within engineering and product teams.

• Slack/Microsoft Teams: For day-to-day communication and collaboration.

📝 Enhancement Note: The technology stack emphasizes modern design and analytics tools, with a significant focus on AI. Candidates must be comfortable not only using these tools but also integrating AI into their daily workflows and contributing to the team's adoption of AI-driven design practices.

👥 Team Culture & Values

Operations Values:

• Bold, Authentic, Purposeful, Inspired: These are Cover Genius's core values. For a Senior Product Designer, this translates to taking initiative, being transparent in communication, focusing on meaningful impact (purposeful), and maintaining a high level of motivation and creativity (inspired).

• Growth-Oriented Commercial Instinct: A fundamental value for this role is thinking in terms of business impact – attach rates, conversion funnels, and revenue, rather than solely focusing on user satisfaction or aesthetic polish.

• AI-Native Working Style: The team values individuals who naturally default to using AI tools to accelerate and augment their work, treating them as integral components of the design process.

• Willingness to Experiment & Share: An open attitude towards trying new AI tools, sharing learnings publicly, and helping colleagues build new skills is highly valued.

• Data-Driven Approach: Decisions are informed by data, user research, and performance metrics, fostering a culture of continuous improvement and validation.

• Customer-Centricity: While driven by commercial outcomes, the designs must still serve the customer, ensuring clarity, trust, and a seamless experience, especially within embedded contexts.

Collaboration Style:

• Cross-Functional Integration: The team thrives on close collaboration between design, product, engineering, and growth. This involves active participation in planning, feedback sessions, and problem-solving across disciplines.

• Process Review & Feedback Exchange: A culture of constructive feedback is essential for iterating on designs and improving processes, especially concerning experimentation and AI adoption.

• Knowledge Sharing: A proactive approach to sharing learnings, best practices, and insights, particularly around AI tools and growth design techniques, is encouraged.

• Efficiency and Optimization: The team values individuals who are constantly looking for ways to streamline workflows, improve efficiency, and optimize outcomes through design and technology.

📝 Enhancement Note: The company culture strongly emphasizes innovation, commercial impact, and a forward-thinking approach, particularly concerning AI. Candidates should demonstrate how their personal values and working style align with these principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Diverse Partner Ecosystems: Adapting designs to fit a wide array of partner brand guidelines, technical stacks, and user bases requires significant flexibility and problem-solving.

• Balancing Conversion Goals with User Experience: Ensuring that aggressive conversion targets (attach rates, revenue) do not compromise user trust, clarity, or long-term customer satisfaction.

• Rapid Experimentation Velocity: Keeping pace with the demand for rapid A/B testing and iteration in a fast-moving growth environment, while maintaining design quality.

• Pioneering AI in Design: Staying ahead of the curve with AI tools, integrating them effectively, and educating the team on their potential and limitations can be a continuous challenge.

• Technical Constraints of Embedded Experiences: Working within iframes and other embedded structures presents unique UI/UX challenges that require creative solutions.

Learning & Development Opportunities:

• AI Design Specialization: Becoming an expert in leveraging AI for design, potentially leading workshops or developing internal best practices for AI tool adoption.

• Growth Design Mastery: Deepening expertise in conversion rate optimization, funnel analysis, and data-driven product iteration within the high-stakes digital commerce and insurtech sectors.

• Cross-Functional Leadership: Developing skills in influencing and collaborating with diverse teams (Product, Engineering, Marketing, Sales) to drive product strategy and execution.

• Industry Trends: Staying abreast of evolving trends in insurtech, embedded finance, and AI, and applying these insights to product design.

• Mentorship Programs: Opportunities to mentor junior designers, solidifying leadership skills and contributing to team growth.

📝 Enhancement Note: The challenges presented are typical for senior growth-focused roles in innovative tech companies, particularly those embracing new technologies like AI. The growth opportunities are significant for individuals looking to specialize and lead in these emerging areas.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "Describe how you have integrated AI tools into your design workflow. Provide a specific example of a project where AI accelerated your process or led to a better outcome. How would you approach introducing new AI tools to a team?" (Focus on practical application, specific tools, and impact).

• Growth Design Philosophy: "How do you balance conversion optimization goals with user experience and brand integrity, especially in an embedded context? Walk us through your process for defining and running an A/B test for a new insurance offer surface." (Highlight your data-driven approach, hypothesis formulation, and understanding of key metrics).

• Problem-Solving & Process: "Imagine a partner reports a significant drop in attach rate for a specific product. How would you diagnose the issue and propose design solutions? What steps would you take to ensure seamless integration with the partner's existing platform?" (Demonstrate your analytical skills, user-centric approach, and understanding of embedded constraints).

Company & Culture Questions:

• Value Alignment: "How do the Cover Genius values of Bold, Authentic, Purposeful, and Inspired resonate with your own working style? Provide an example of how you've embodied one of these values in a previous role." (Connect your experiences to their stated values).

• AI Enthusiasm: "What excites you most about the potential of AI in product design? How do you stay updated on AI advancements, and what's your approach to adopting new AI technologies?" (Show genuine curiosity and a proactive learning mindset).

• Collaboration & Leadership: "Describe a time you led a design workstream within a cross-functional team. How did you manage stakeholder expectations and ensure alignment across different departments?" (Focus on leadership, communication, and influencing skills).

Portfolio Presentation Strategy:

• Quantifiable Impact First: Begin your case study presentations with the key business outcomes and your specific contribution. Use clear charts and numbers to illustrate success.

• Highlight AI Use Cases: Explicitly call out where and how AI tools were used in your process, explaining the benefits achieved (e.g., faster prototyping, more variants tested, deeper insights).

• Focus on the "Why": Articulate the rationale behind your design decisions, linking them back to user needs, business goals, and growth hypotheses.

• Showcase Embedded Design Nuances: Explain the specific challenges and solutions related to designing for third-party platforms, demonstrating your understanding of integration constraints.

• Be Ready for Deep Dives: Prepare to answer detailed questions about your process, the tools you used, the data you analyzed, and the trade-offs you made.

📝 Enhancement Note: Preparation should heavily focus on demonstrating tangible results, practical AI application, and a strategic approach to growth design within an embedded context. Be ready to discuss numbers, AI tools, and your leadership experience in detail.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your resume and a compelling portfolio through the provided application link on careers.kula.ai.

• Portfolio Customization: Tailor your portfolio to prominently feature 2-3 case studies that best showcase your experience in growth design, conversion optimization, and AI-driven design, specifically highlighting quantifiable results and embedded/white-label projects.

• Resume Optimization: Ensure your resume clearly articulates your 8+ years of relevant experience, emphasizing achievements in e-commerce, fintech, or conversion-focused products. Strategically integrate keywords like "Growth Design," "A/B Testing," "Conversion Rate Optimization," "Embedded Experiences," and "Generative AI."

• Interview Preparation: Practice articulating your design process, particularly how you use AI tools and data to drive commercial outcomes. Prepare to present your portfolio case studies with a focus on leadership and measurable impact.

• Company Research: Thoroughly research Cover Genius, its mission, its products (XCover), and its core values. Understand the insurtech industry and the concept of embedded insurance to better tailor your responses during interviews.

⚠️ 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.