AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Obvious

Location: United States

Job Type: FULL_TIME

Category: Product Design / Operations Technology

Date Posted: October 08, 2025

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead the design of Obvious's core AI-native workspace, translating complex AI functionalities into intuitive and engaging user experiences from initial wireframes to pixel-perfect interfaces.

• Drive product growth by designing high-converting landing pages, marketing assets, and user acquisition funnels, leveraging a deep understanding of conversion design and A/B testing methodologies.

• Cultivate and lead Obvious's design community through content creation, social presence, and direct engagement, acting as a brand ambassador and attracting top creative talent.

• Own end-to-end problem-solving for design challenges, demonstrating a proactive, "wear all the hats" mentality essential for a fast-paced startup environment.

• Collaborate closely with engineering and product teams to refine performance, interactions, and overall aesthetic craft, while potentially shipping code and utilizing tools like Cursor and v0.

📝 Enhancement Note: While the core role is Product Design, the emphasis on driving growth, community building, and potentially shipping code alongside AI product development positions this role within the broader GTM and Operations Technology landscape. The need to "wear all the hats" and "own problems end-to-end" strongly suggests responsibilities that extend beyond traditional design, touching on operational efficiency and strategic market impact.

📈 Primary Responsibilities

• Design and iterate on the core user experience for Obvious's AI-native workspace, ensuring seamless integration of AI capabilities into daily workflows.

• Develop and refine visual design elements, interaction patterns, and user interface components that align with Obvious's brand identity and product vision.

• Create compelling marketing collateral, landing pages, and conversion funnels to drive user acquisition, engagement, and retention.

• Actively participate in and contribute to the Obvious design community, sharing insights, best practices, and fostering a collaborative environment.

• Partner with cross-functional teams, including engineering, product management, and marketing, to ensure design solutions are technically feasible and strategically aligned.

• Conduct user research, A/B testing, and data analysis to inform design decisions and optimize user flows for performance and efficiency.

• Potentially contribute to front-end development or agent coding, using tools like Cursor and v0, to rapidly prototype and implement design solutions.

• Champion design thinking and best practices across the organization, influencing product strategy and roadmap.

📝 Enhancement Note: The responsibilities listed lean heavily into product design but also encompass significant growth and community-building aspects, which are crucial for Go-To-Market (GTM) success. The mention of "shipping code" and using specific tools like Cursor and v0 suggests a hands-on, technically proficient role that requires an understanding of how design integrates with development processes, a common requirement in operations technology roles.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, user experience, and visual communication is expected, often acquired through formal education or extensive self-study and practical application.

Experience: 5+ years of progressive experience in product design, with a proven track record of shipping impactful user experiences in a professional setting, ideally within a fast-paced startup or technology-driven environment.

Required Skills:

• Exceptional Visual Craft: Demonstrated mastery of visual design principles, typography, color theory, and layout, with a portfolio that showcases a high level of aesthetic quality and attention to detail.

• Deep Product Thinking: Ability to understand complex problems, reason from first principles, and translate user needs and business objectives into effective design solutions.

• AI Product Design Expertise: Experience or a strong aptitude for designing products that leverage Artificial Intelligence, understanding the unique challenges and opportunities in this domain.

• Community Building & Social Presence: Proven ability to engage with, build, and grow a design community through content creation, social media, and active participation.

• Growth Design & Conversion Optimization: Solid understanding of conversion design principles, A/B testing methodologies, and data-driven approaches to move key business metrics.

• User Experience (UX) Design: Proficiency in user-centered design processes, including user research, wireframing, prototyping, and usability testing.

• Proactive Problem-Solving: A self-starter mentality with the ability to identify opportunities, take ownership, and drive solutions independently in a dynamic startup environment.

• Adaptability & Resilience: Thrives in ambiguous and fast-paced settings, embracing change and demonstrating resilience in the face of challenges.

• Collaboration & Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions and collaborate effectively with diverse teams.

Preferred Skills:

• Experience with coding agents or using development tools like Cursor and v0.

• Familiarity with emerging design patterns for human-AI interaction.

• Experience in marketing design, including landing page optimization and campaign asset creation.

• A strong personal brand or portfolio showcasing thought leadership in design or AI.

📝 Enhancement Note: The emphasis on "growth" and "conversion design" alongside core design skills is a key indicator of the operational impact expected from this role. The mention of "shipping code" and specific tools like Cursor and v0 suggests a preference for candidates with a technical edge, bridging the gap between design and development, which is increasingly important for operations technology roles focused on efficiency and rapid iteration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 5+ years of professional design work, with a strong emphasis on AI-driven products or complex technical applications.

• Include detailed case studies demonstrating end-to-end design ownership, from initial problem definition and user research to final UI implementation and impact measurement.

• Highlight projects where you significantly influenced product growth, conversion rates, or user engagement through design interventions.

• Present examples of community engagement or content creation that demonstrate your ability to build and nurture a design community.

Process Documentation:

• Clearly articulate the design process followed for key projects, including user research methodologies, ideation techniques, prototyping tools, and testing frameworks.

• Demonstrate how data and user feedback were integrated into the design process to drive iterative improvements and optimize outcomes.

• Illustrate your approach to collaborating with engineering and product teams, showcasing how design requirements were communicated and implemented.

• For projects involving growth or conversion, provide clear metrics and data points that quantify the impact of your design solutions.

📝 Enhancement Note: For a role that blends product design with growth and community, a portfolio is critical. The emphasis on "growth hacking" and "conversion design" means case studies should not just showcase aesthetic skill but also measurable business impact and a strategic understanding of user acquisition funnels, which aligns with GTM operations.

💵 Compensation & Benefits

Salary Range: $200,000 - $240,000 USD per year. This range is competitive for an AI Product Designer role with 5+ years of experience in the United States, especially considering the fully remote nature and the innovative AI-native workspace focus.

Benefits:

• Competitive Compensation: A salary package designed to attract and retain top talent.

• Meaningful Equity: Significant ownership stake in a potentially high-growth company, aligning employee success with company success.

• Founding Team Influence: Opportunity to directly shape the company's direction and product strategy from an early stage.

• Creative Freedom: Autonomy to evolve and steer both current and future product identity and design direction.

• Platform to Shine: A chance to amplify your personal brand and design voice through Obvious's reach and influence.

• Room to Grow: Limitless opportunities for professional development and advancement as the company scales.

• In-Person Hackathons: Regular opportunities to collaborate and build with the team in person, fostering strong team cohesion.

• Excellent Benefits: Comprehensive health, vision, and dental insurance coverage.

• 401k Match: Employer contribution to retirement savings.

• Parental Leave: Support for new parents.

• Home Office Stipend: A generous $10,000 stipend for home office setup or paid co-working space access, allowing for a productive and comfortable remote work environment. (Available for US-based full-time employees only).

Working Hours: The standard working hours are assumed to be approximately 40 hours per week, typical for a full-time role. However, the fast-paced startup environment and the "wear all the hats" mentality suggest that flexibility and commitment beyond standard hours may be required, especially during critical project phases.

📝 Enhancement Note: The salary range provided is at the higher end for a Product Designer, reflecting the specialized nature of AI product design and the significant responsibilities including growth and community leadership. The benefits package is comprehensive and emphasizes long-term incentives like equity and significant stipends, indicating a focus on attracting experienced professionals who are invested in the company's success. The "in-person hackathons" suggest that while the role is remote, there's a commitment to in-person team building, which is an operational consideration for distributed teams.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Artificial Intelligence and Software Development, with a focus on creating an "AI-native workspace" and an "operating system for work." The company aims to redefine how people collaborate and create with AI, likening its vision to "AI as a garden for the mind."

Company Size: Obvious is likely a growing startup, characteristic of companies seeking early-stage hires for foundational roles. The emphasis on "founding team influence" and "wearing all the hats" suggests a lean, agile, and highly collaborative environment where individual contributions have a significant impact.

Founded: While the exact founding date isn't provided, the company's description suggests it is in a growth phase, actively building out its core product and team. This implies an energetic, innovative, and potentially less structured environment than a large corporation, prioritizing rapid iteration and experimentation.

Team Structure:

• The design team likely consists of a small, core group of talented individuals, with this role acting as a senior or lead designer responsible for shaping the core experience and community.

• Reporting lines are probably direct to a founder or Head of Product/Engineering, given the startup stage.

Methodology:

• Data-Driven Design: Decisions are expected to be informed by user data, A/B testing results, and performance metrics, especially in areas related to growth and conversion.

• First Principles Thinking: The company encourages reasoning from fundamental truths to explore novel solutions, particularly relevant in the rapidly evolving AI landscape.

• Iterative Development: Rapid prototyping, feedback loops, and continuous improvement are likely core to the development process.

• Community-Centric Approach: Building and engaging with a design community is an explicit part of the company's strategy, suggesting a culture that values external input and advocacy.

Company Website: https://obvious.ai/

📝 Enhancement Note: The description of Obvious positions it as an innovative AI company with a strong design ethos. The "AI as a garden for the mind" metaphor suggests a focus on organic growth, cultivation, and empowering users, which is a unique angle for an AI workspace. The emphasis on "co-intelligence" hints at a sophisticated approach to human-AI collaboration. This context is vital for operations professionals to understand the company's mission and how their role contributes to its strategic goals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a senior/lead level within the Product Design function, with significant influence. It transcends traditional design by incorporating elements of community management, growth hacking, and potentially technical implementation. The "wear all the hats" and "own problems end-to-end" directives indicate a high degree of autonomy and responsibility, typical of early-stage hires in a startup.

Reporting Structure: The AI Product Designer will likely report directly to one of the founders or a senior product leader. The role is designed to be highly visible and impactful, with direct interaction across engineering, product, and marketing teams.

Operations Impact: The operations impact of this role is multifaceted. By designing an intuitive and efficient AI workspace, the designer directly contributes to user productivity and workflow optimization, which are core to any operations strategy. Furthermore, by driving growth through conversion design and community building, the designer directly influences user acquisition and market penetration, critical GTM operations. The focus on "co-intelligence" suggests that the design will aim to enhance human capabilities, thereby improving overall operational effectiveness for millions of users.

Growth Opportunities:

• Design Leadership: As Obvious scales, there's a clear path to grow into a Head of Design or Design Lead role, managing a larger team and setting the broader design strategy.

• Product Strategy Influence: The role offers direct input into product roadmap decisions and the overall vision for the AI workspace, providing opportunities to shape the company's future.

• Skill Specialization & Diversification: The blend of core design, AI product thinking, growth hacking, and community building allows for deep specialization in one area or diversification across multiple domains.

• Brand Building: Opportunity to become a recognized voice in the AI and design communities, significantly enhancing personal brand and professional network.

• Technical Proficiency: Potential to develop significant expertise in AI product development, coding agents, and using cutting-edge tools like Cursor and v0.

📝 Enhancement Note: This role offers substantial growth potential beyond a typical product designer position. The integration of GTM functions like growth hacking and community building, coupled with the AI focus, positions the candidate for leadership roles in innovative tech companies. The emphasis on "owning problems" and "founding team influence" suggests a fast-track career trajectory for high performers.

🌐 Work Environment

Office Type: This is a fully remote position, offering maximum flexibility for employees based in the United States. The company supports remote work through stipends for home office setups or paid co-working spaces, acknowledging the importance of a productive and dedicated workspace.

Office Location(s): United States. While remote, the company organizes semi-annual in-person hackathons, suggesting a desire to foster strong team bonds and collaborative energy through occasional face-to-face interaction.

Workspace Context:

• Remote Autonomy: Employees are empowered to create their ideal work environment, whether at home or in a co-working space, emphasizing trust and self-management.

• Tooling & Technology: Access to modern design and development tools is implied, with specific mention of Cursor and v0, indicating a tech-forward environment focused on efficiency.

• Collaborative Culture: Despite being remote, the company fosters collaboration through regular in-person events and likely utilizes robust digital collaboration tools to ensure seamless teamwork and knowledge sharing.

Work Schedule: While a standard 40-hour work week is implied for full-time employment, the startup culture and the nature of design and AI development may necessitate flexibility. The focus is on outcomes and impact rather than strict adherence to hours, encouraging a productive workflow that suits individual needs and project demands.

📝 Enhancement Note: The remote-first nature, coupled with a generous home office stipend and in-person hackathons, indicates a well-thought-out approach to remote team dynamics. This setup prioritizes employee well-being and productivity while fostering a sense of community and shared purpose, which is crucial for operational efficiency in a distributed workforce.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and portfolio to assess experience, skills, and alignment with the role's requirements.

• Portfolio Deep Dive: A session focused on your portfolio, where you'll present case studies, discuss your design process, and explain the rationale behind your design decisions, particularly concerning AI products, growth strategies, and community building.

• Design Challenge/Case Study: You may be asked to complete a take-home design challenge or a live case study focused on a specific problem relevant to Obvious's product, testing your problem-solving skills, design thinking, and ability to articulate solutions.

• Founders/Team Interviews: Discussions with the founding team and key members to assess cultural fit, strategic thinking, passion for AI, and overall alignment with Obvious's mission.

• Technical/Coding Assessment (Potentially): Given the mention of shipping code, there might be an assessment of your comfort with development tools or a discussion about your coding capabilities.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem, your solution, and the measurable impact (e.g., conversion rate increase, user engagement improvement, community growth metrics).

• Showcase AI Understanding: Highlight projects where you navigated the complexities of AI product design, explaining your approach to user trust, data privacy, and human-AI interaction.

• Demonstrate Growth Ownership: Present case studies that explicitly show how your design decisions influenced key growth metrics or conversion funnels.

• Highlight Community Building: Include examples of content, social engagement, or community initiatives that demonstrate your passion and ability to foster design communities.

• Reasoning is Key: Be prepared to deeply discuss your design choices, the trade-offs you considered, and how you arrived at your solutions, especially when applying first principles.

Challenge Preparation:

• Understand Obvious's Vision: Deeply research Obvious, its mission, the AI-native workspace concept, and its "AI as a garden for the mind" philosophy.

• Focus on AI-Human Interaction: Anticipate challenges related to designing intuitive interfaces for AI agents and complex data analysis tools.

• Growth Mindset: Prepare to address problems related to user acquisition, conversion optimization, and driving engagement within a competitive AI product market.

• Community Engagement: Consider how you would approach building and nurturing a design community around Obvious's platform.

• Articulate Strategy: Be ready to present your thought process clearly and concisely, demonstrating strategic thinking and a structured approach to problem-solving.

📝 Enhancement Note: The interview process is designed to assess not only design craft but also strategic thinking, growth orientation, and community-building capabilities. A portfolio that clearly demonstrates impact and a well-articulated understanding of AI product design is crucial. The emphasis on "shipping code" suggests that candidates with a blend of design and technical acumen will be highly valued.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), possibly tools for interactive prototyping.

• AI Development & Coding: Cursor, v0 (as explicitly mentioned), potentially other AI-specific development platforms or frameworks.

• Collaboration & Project Management: Slack, Jira, Asana, Trello, or similar tools for communication and workflow management.

Analytics & Reporting:

• Web Analytics: Google Analytics, Amplitude, Mixpanel, or similar for tracking user behavior and campaign performance.

• A/B Testing Tools: Optimizely, VWO, Google Optimize, or in-house A/B testing frameworks.

• Data Visualization: Tableau, Power BI, Looker, or custom dashboards for presenting performance metrics.

CRM & Automation:

• While not directly a CRM role, understanding how design impacts conversion funnels suggests familiarity with CRM principles and marketing automation platforms (e.g., HubSpot, Salesforce Marketing Cloud) may be beneficial.

• Integration Tools: Awareness of how design systems and user interfaces connect with backend systems and APIs is advantageous.

📝 Enhancement Note: The explicit mention of "Cursor" and "v0" indicates a strong preference for candidates who are comfortable with or eager to learn tools that bridge design and code, particularly in the AI development space. This is a significant operational advantage, enabling faster iteration and a deeper understanding of technical constraints. Familiarity with growth-focused analytics and A/B testing tools is also paramount for demonstrating impact.

👥 Team Culture & Values

Operations Values:

• AI-Native Mindset: A deep belief in the transformative power of AI and a commitment to building products that leverage its capabilities to enhance human productivity and creativity.

• Design as Core: A fundamental understanding that design is not an afterthought but a critical driver of product success, user adoption, and brand identity.

• Growth-Oriented: A relentless focus on driving measurable business outcomes, user acquisition, and engagement through strategic design and marketing efforts.

• Community-Driven: A value placed on building and nurturing a strong community of designers and users, fostering collaboration, knowledge sharing, and advocacy.

• First Principles Reasoning: A commitment to breaking down complex problems to their fundamental truths to uncover innovative and effective solutions.

• Ownership & Initiative: A culture where individuals are empowered to take full ownership of their work, identify opportunities, and drive solutions proactively.

Collaboration Style:

• Cross-Functional Synergy: Close collaboration between design, engineering, product, and marketing teams is essential, with open communication and shared accountability.

• Feedback-Rich Environment: A culture that encourages constructive feedback, iteration, and continuous improvement based on insights from team members and users.

• Data-Informed Decision Making: Collaborative discussions are often grounded in data, user research, and performance metrics to ensure alignment and maximize impact.

• Shared Vision: A collective commitment to Obvious's mission of creating an AI-native workspace that empowers millions, fostering a unified approach to product development.

📝 Enhancement Note: The values described emphasize innovation, user empowerment, and a results-driven approach. For operations professionals, understanding these values means recognizing that efficiency, impact, and a proactive, collaborative mindset are highly prized, aligning perfectly with the goals of revenue and sales operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI and translating them into user-friendly product experiences.

• Designing for "Co-Intelligence": Crafting interfaces that effectively facilitate seamless collaboration between humans and AI agents, ensuring trust and efficacy.

• Balancing Craft with Growth: Maintaining exceptional design quality while aggressively pursuing growth metrics and conversion optimization.

• Building a Community from Scratch: Establishing and scaling a vibrant and engaged design community for a nascent product.

• Startup Ambiguity: Navigating the inherent uncertainties and fast-changing priorities of an early-stage startup environment.

• Technical Integration: Potentially bridging the gap between design and code, requiring comfort with development tools and methodologies.

Learning & Development Opportunities:

• AI Product Innovation: Deep immersion in cutting-edge AI product development and design patterns.

• Growth Hacking Mastery: Developing advanced skills in conversion optimization, A/B testing, and user acquisition strategies.

• Community Leadership: Gaining experience in building, managing, and scaling online communities.

• Foundational Team Experience: Gaining invaluable experience as an early member of a startup with high growth potential.

• Technical Skill Enhancement: Opportunity to develop or deepen coding skills and familiarity with AI development tools.

• Cross-Functional Expertise: Broadening understanding of product management, engineering, and marketing operations through close collaboration.

📝 Enhancement Note: The challenges presented are significant but come with substantial growth potential. For operations professionals, these challenges highlight the need for adaptability, a data-driven mindset, and a proactive approach to problem-solving, all of which are core to successful operations roles. The learning opportunities are geared towards developing a highly versatile skill set relevant to both product and GTM functions.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI assistant that needs to manage sensitive user data while maintaining trust and transparency?" (Focus: AI Ethics, User Trust, Transparency)

• "Describe how you would design a conversion funnel for a new AI productivity tool. What key metrics would you track, and how would you optimize it?" (Focus: Conversion Design, Growth Metrics, Data Analysis)

• "Imagine you're tasked with building Obvious's design community from the ground up. What would be your initial steps, and how would you foster engagement?" (Focus: Community Building, Engagement Strategies, Brand Advocacy)

Company & Culture Questions:

• "What excites you most about Obvious's mission to build an AI-native workspace?" (Focus: Mission Alignment, Passion for AI)

• "How do you see your role as an AI Product Designer contributing to Obvious's overall GTM strategy?" (Focus: Strategic Thinking, GTM Integration)

• "Describe your ideal remote work environment and how you ensure productivity and collaboration." (Focus: Remote Work Acumen, Collaboration Skills)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, the process you followed, your solutions, and the quantifiable results.

• Emphasize Impact: Focus on the "so what?" – how did your design decisions drive business value (growth, conversion, efficiency, user satisfaction)?

• Showcase AI Nuances: Explain your unique considerations for designing with AI, such as managing user expectations, handling uncertainty, and ensuring ethical AI practices.

• Highlight Community Contributions: If applicable, showcase any content you've created, community initiatives you've led, or how you've used social platforms to share design insights.

• Be Ready for Technical Questions: If you mentioned coding experience, be prepared to discuss specific tools or projects. If not, show enthusiasm and a willingness to learn.

• Connect to Obvious: Tailor your presentation to show how your skills and experience directly align with Obvious's mission and the specific requirements of the AI Product Designer role.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of core design skills, strategic thinking about growth and operations, and a genuine understanding of AI's potential. The case study approach, emphasizing measurable impact, is crucial for this role, as it bridges design execution with business objectives.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio for Impact: Ensure your portfolio prominently features case studies that demonstrate your ability to design for AI products, drive conversion growth, and engage with design communities. Quantify the impact of your work with clear metrics.

• Tailor Your Resume: Highlight keywords relevant to AI Product Design, Growth Hacking, Community Building, Conversion Design, and any technical skills (e.g., familiarity with Cursor, v0). Emphasize achievements and quantifiable results.

• Prepare Your Narrative: Practice articulating your design process, your reasoning for key decisions, and how your work aligns with Obvious's mission and values. Be ready to discuss your approach to AI-specific design challenges and community development.

• Research Obvious Deeply: Understand their "AI as a garden for the mind" philosophy, their target audience, and their competitive landscape. Prepare thoughtful questions that demonstrate your interest and strategic thinking.

⚠️ 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.

---