AI Product Designer

📍 Job Overview

Job Title: AI Product Designer Company: Monaco Location: San Francisco, California, United States Job Type: Full-time Category: Product Design / AI UX Date Posted: February 17, 2026 Experience Level: 5+ Years Remote Status: On-site

🚀 Role Summary

• Design and deliver cutting-edge AI-native product experiences for Monaco's revenue engine platform, directly impacting how startups manage their go-to-market strategies.
• Drive end-to-end product design ownership, from initial user research and concept discovery through to shipped product iterations and continuous improvement cycles.
• Collaborate intimately with product management and engineering teams to translate complex AI capabilities and business requirements into intuitive, user-centric interfaces.
• Elevate the overall usability, clarity, and visual polish of the product, contributing to a seamless and efficient user journey for sales and revenue operations professionals.
• Actively contribute to the evolution and refinement of the company's design systems and modern UI patterns, ensuring consistency and scalability across the platform.

📝 Enhancement Note: While the role is "AI Product Designer," the company's description as the "first revenue engine for startups" and replacing "legacy CRM and disparate sales point solutions" strongly indicates a focus on Go-To-Market (GTM) operations, sales operations, and revenue operations users. Therefore, the design responsibilities will likely revolve around optimizing sales processes, lead management, pipeline visibility, and revenue forecasting for B2B sales teams.

📈 Primary Responsibilities

• Conceptualize, prototype, and design intuitive AI-powered features that enhance user workflows within sales, marketing, and customer success operations.
• Conduct user research, usability testing, and A/B testing to gather insights and validate design decisions, ensuring alignment with GTM strategies and business objectives.
• Develop high-fidelity mockups, interactive prototypes, and detailed design specifications for engineering implementation.
• Iterate on designs based on user feedback, performance data, and evolving product requirements, maintaining a strong focus on user experience and business impact.
• Collaborate with cross-functional teams, including product managers, engineers, data scientists, and marketing, to ensure successful product launches and ongoing optimization.
• Contribute to the strategic direction of the product by identifying opportunities for AI-driven innovation in sales and revenue operations.
• Maintain and contribute to the company's design system, ensuring consistency, scalability, and efficiency in the design process.
• Advocate for the user throughout the product development lifecycle, ensuring that designs meet user needs and business goals.

📝 Enhancement Note: Given the company's mission to build an "AI native platform that replaces legacy CRM and disparate sales point solutions," a significant responsibility will be designing user experiences that are fundamentally different and more intelligent than traditional CRMs. This implies a need to design for proactive insights, automated workflows, and predictive analytics rather than just data entry and reporting. The designer must be comfortable with ambiguity and the iterative nature of AI development.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience.

Experience:

• A minimum of 5 years of dedicated product design experience, with a proven track record of successfully delivering digital products to market.

Required Skills:

• AI-Native Product Design: Proven ability to design user experiences for non-deterministic or AI-powered applications, understanding the unique challenges and opportunities they present.
• End-to-End Design Ownership: Demonstrated experience managing the full design lifecycle from user research and discovery to detailed UI design, prototyping, and post-launch iteration.
• Interaction Design & Visual Polish: Strong craft in creating intuitive user flows, clear information architecture, and aesthetically pleasing visual interfaces.
• Systems Thinking: Ability to design complex systems, understand interdependencies, and contribute to scalable design systems and component libraries.
• Cross-Functional Collaboration: Excellent communication and collaboration skills, with experience working effectively alongside product managers, engineers, and other stakeholders in fast-paced environments.
• Prototyping: Proficiency in using modern design and prototyping tools (e.g., Figma, Sketch, Adobe Creative Suite) to create high-fidelity interactive prototypes.
• User Research & Testing: Experience conducting user interviews, usability studies, and synthesizing feedback to inform design decisions.

Preferred Skills:

• Brand Design & Visual Identity: Experience in developing or contributing to brand identity and visual language.
• Design System Evolution: Experience improving, scaling, or evolving existing design systems.
• Complex Software Design: Background in designing sophisticated enterprise or B2B software solutions, particularly in the GTM or CRM space.
• Prototyping in Code: Familiarity with or experience in prototyping using code (e.g., HTML, CSS, JavaScript), potentially with AI assistance.

📝 Enhancement Note: The requirement for "5+ years of product design experience delivering shipped digital products" suggests a mid-to-senior level role. The emphasis on "comfort designing non-deterministic or AI-powered experiences" and "strong ownership mindset" points towards a candidate who can operate autonomously and navigate the complexities of AI product development without constant oversight. The "nice to have" skills suggest a desire for a designer who can also contribute to brand and system-level thinking.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated AI UX: Showcase at least one significant project that clearly illustrates your approach to designing AI-powered or non-deterministic user experiences. Highlight the challenges specific to AI and how you addressed them.
• End-to-End Process: Present a case study that walks through your entire design process, from initial problem definition, user research, ideation, wireframing, prototyping, user testing, to final UI and implementation handoff.
• Impact & Metrics: Clearly articulate the business impact and/or user impact of your designs. Quantify results where possible (e.g., increased conversion rates, reduced task completion time, improved user satisfaction scores).
• Systems & Scalability: Include examples of your work on design systems, component libraries, or how you've ensured design consistency and scalability across complex products.

Process Documentation:

• Prepare to discuss your personal design process in detail, including your methodologies for user research, ideation, prototyping, and collaboration.
• Be ready to explain how you gather requirements, prioritize features, and collaborate with engineering and product teams to bring designs to life.
• Have examples of how you've iterated on designs based on feedback, data, and changing business needs.

📝 Enhancement Note: For an AI Product Designer role, the portfolio is paramount. Candidates should prioritize showcasing projects that demonstrate their ability to handle ambiguity, design for learning systems, and translate complex AI concepts into user-friendly interfaces. The emphasis on "ownership" means candidates should be prepared to speak deeply about their individual contributions within team projects.

💵 Compensation & Benefits

Salary Range:

• Based on industry standards for a Senior Product Designer with 5+ years of experience in San Francisco, California, the estimated annual salary range for this role is between $140,000 and $180,000. This range can vary based on the candidate's specific experience, skills, and the final negotiation.

Benefits:

• Comprehensive health, dental, and vision insurance plans.
• Stock options or equity grants, offering a stake in the company's growth.
• Generous paid time off (PTO) and holidays.
• Professional development budget for conferences, courses, and learning resources.
• Opportunities for career advancement and skill development in a rapidly growing AI startup.
• 401(k) retirement savings plan.
• Commuter benefits or stipends for on-site employees.

Working Hours:

• This is a full-time position, typically requiring approximately 40 hours per week. However, given the startup environment and the nature of product development, flexibility may be expected to meet project deadlines and launch schedules.

📝 Enhancement Note: The salary estimate is based on data from reputable salary aggregators for Senior Product Designer roles in San Francisco, CA, which is a high-cost-of-living area with a competitive tech market. The inclusion of stock options is a common practice in early-stage startups like Monaco.

🎯 Team & Company Context

🏢 Company Culture

Industry: FinTech / AI / SaaS (Revenue Engine Platform) Company Size: Early-stage startup (specific employee count not provided, but implied to be small and growing) Founded: Monaco is a relatively new company, focused on building an AI-native platform. Its founding date is not explicitly stated, but it is positioned as a modern, forward-thinking entity.

Team Structure:

• The design team is likely small and integrated closely with product management and engineering, reflecting a typical startup structure focused on rapid iteration and cross-functional collaboration.
• The AI Product Designer will report to a Head of Product or Design Lead, working collaboratively with Product Managers and Software Engineers.
• Expect a highly collaborative environment where ideas are shared freely, and team members are empowered to contribute across disciplines.

Methodology:

• Data-Driven Design: Decisions are expected to be informed by user data, analytics, and performance metrics, with a strong emphasis on A/B testing and iterative improvement.
• Agile Development: The product development process likely follows agile methodologies, emphasizing rapid prototyping, continuous feedback, and iterative releases.
• AI-First Approach: The core philosophy revolves around leveraging AI to create novel and efficient user experiences, moving beyond traditional software paradigms.

Company Website: https://monaco.com

📝 Enhancement Note: As an early-stage startup, Monaco likely fosters a culture of ownership, innovation, and rapid execution. The "AI native platform" implies a deep commitment to cutting-edge technology and a willingness to challenge established industry norms, particularly in the CRM and sales tech space. This means the designer will be at the forefront of shaping new user paradigms.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced AI Product Designer, likely equivalent to a Senior Product Designer. It requires a strong foundation in core design principles and a demonstrated ability to lead design initiatives independently. The role involves significant ownership and influence over the product's direction.

Reporting Structure: The AI Product Designer will likely report to a Head of Product or a Design Lead, working closely with Product Managers and Engineering leads. This structure allows for direct collaboration with decision-makers and a clear line of sight to product strategy.

Operations Impact: The AI Product Designer's work will directly impact Monaco's core value proposition: revolutionizing the "revenue engine for startups." By crafting intuitive and powerful AI-driven experiences, the designer will enable users (startup sales/revenue teams) to operate more efficiently, make better decisions, and ultimately drive more revenue. This role has a direct line to business outcomes.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in designing for AI, learning about cutting-edge applications and user interaction patterns within machine learning products.
• Leadership Track: Potential to grow into a Design Lead or Head of Design role as the company scales, taking on more strategic responsibilities and managing a growing design team.
• Product Strategy Influence: Contribute significantly to product roadmap decisions and the overall strategic direction of Monaco's AI platform.
• Cross-Functional Skill Development: Gain extensive experience working with cutting-edge AI technology, engineering challenges, and fast-paced startup environments.

📝 Enhancement Note: The "AI Product Designer" title, combined with "5+ years of experience" and "ownership," strongly suggests a senior-level individual contributor role with significant strategic influence. Growth opportunities will likely focus on deepening AI UX expertise or moving into leadership as the company matures.

🌐 Work Environment

Office Type: Monaco is described as an on-site role in San Francisco, suggesting a physical office space designed to foster collaboration and innovation. Startups often feature open-plan layouts, collaborative zones, and modern amenities.

Office Location(s): San Francisco, California, United States. This location places the designer within a major tech hub, offering access to talent, networking opportunities, and a vibrant ecosystem.

Workspace Context:

• Collaborative Hub: The office environment is expected to encourage spontaneous interactions, brainstorming sessions, and close collaboration between design, product, and engineering teams.
• Technology-Rich: Access to the latest design tools, hardware, and potentially AI-specific development environments will be standard.
• Fast-Paced & Dynamic: The environment will be characterized by rapid iteration, quick decision-making, and a focus on achieving ambitious goals within tight timelines.

Work Schedule: While a standard 40-hour work week is implied, the startup culture may necessitate flexibility to meet critical deadlines. This could include occasional extended hours or weekend work during key launch phases, balanced by a culture that values work-life integration.

📝 Enhancement Note: An on-site role in San Francisco for a startup emphasizes a culture of direct collaboration, rapid iteration, and shared physical presence to drive innovation. The environment will likely be fast-paced, with a strong emphasis on team synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in AI and the startup environment.
• Portfolio Review & Design Exercise: A deep dive into your portfolio, focusing on your AI UX design process, problem-solving skills, and ability to articulate design decisions. This may be followed by a take-home design challenge or an in-person/virtual design exercise focused on a specific AI product problem.
• Cross-Functional Interviews: Interviews with Product Managers and Engineering Leads to assess collaboration skills, technical understanding, and ability to work effectively within a cross-functional team.
• Hiring Manager/Leadership Interview: A final conversation with the hiring manager or a company leader to discuss strategic alignment, long-term vision, and overall fit within the company culture.

Portfolio Review Tips:

• Highlight AI & Ambiguity: Focus on projects where you navigated uncertainty and designed for AI-driven or non-deterministic features. Clearly explain your thought process for handling these unique challenges.
• Showcase Impact: Quantify the results of your designs whenever possible. Demonstrate how your work contributed to business goals or improved user outcomes.
• Tell a Story: Structure your case studies as narratives, explaining the problem, your approach, your specific contributions, the challenges you faced, and the final outcome.
• Visual Clarity & Polish: Ensure your portfolio is visually appealing, well-organized, and easy to navigate.

Challenge Preparation:

• Understand Monaco's Vision: Research Monaco's mission to be the "first revenue engine for startups" and how it aims to replace legacy CRMs with an AI-native platform.
• AI UX Principles: Be prepared to discuss core principles of designing for AI, including explainability, trust, user control, and handling uncertainty.
• GTM Operations Context: Familiarize yourself with core concepts in sales, marketing, and revenue operations to understand the user needs and business objectives of Monaco's target audience.
• Problem-Solving Approach: Practice articulating your problem-solving process, focusing on how you break down complex problems and arrive at user-centered solutions.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to design for AI and operate within a startup environment. The portfolio is key, and candidates should be ready to defend their design decisions with data and a clear understanding of user needs and business objectives.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable as industry standard), Sketch, Adobe Creative Suite (Photoshop, Illustrator).
• Prototyping Tools: InVision, ProtoPie, or Figma's native prototyping capabilities.
• Collaboration Tools: Slack, Confluence, Jira, Asana.
• User Research Platforms: UserTesting.com, Maze, Lookback, or similar tools for remote usability testing and feedback collection.

Analytics & Reporting:

• While not directly a designer's tool, familiarity with analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and product performance is beneficial.
• Experience with dashboarding tools for understanding user metrics.

CRM & Automation:

• Familiarity with traditional CRM systems (e.g., Salesforce, HubSpot) to understand the landscape Monaco is disrupting.
• Understanding of sales and marketing automation concepts.

📝 Enhancement Note: Proficiency in modern design tools like Figma is essential. For an AI Product Designer, understanding how to work with data and analytics tools to inform design decisions is also critical, as is a conceptual understanding of CRM and sales enablement platforms that Monaco aims to replace.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Leadership: A strong drive to push the boundaries of AI and product design, creating novel solutions that redefine industry standards.
• User-Centricity: A deep commitment to understanding and solving user problems, ensuring that designs are intuitive, efficient, and valuable for GTM teams.
• Ownership & Accountability: A culture where individuals take full responsibility for their work, drive initiatives forward, and are accountable for outcomes.
• Collaboration & Transparency: Open communication, shared learning, and a willingness to give and receive constructive feedback to achieve collective success.
• Speed & Agility: A focus on rapid iteration, quick decision-making, and adapting to changing market needs and technological advancements.

Collaboration Style:

• Cross-Functional Integration: Designers work hand-in-hand with Product Managers and Engineers from concept to launch, fostering a shared understanding and collective ownership of the product.
• Iterative Feedback Loops: Regular design reviews, usability testing sessions, and sprint retrospectives ensure continuous feedback and refinement of designs.
• Knowledge Sharing: Encouragement of sharing best practices, design patterns, and learnings across the team to foster growth and maintain design quality.

📝 Enhancement Note: The culture at a startup like Monaco is often characterized by a strong sense of mission, a high degree of autonomy, and a collaborative spirit focused on rapid progress. The values will likely reflect a blend of technological innovation, user empathy, and entrepreneurial drive.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: Navigating the inherent unpredictability of AI models and designing interfaces that manage user expectations, provide transparency, and build trust.
• Disrupting Established Workflows: Creating a product that effectively replaces deeply ingrained habits and workflows associated with traditional CRMs and sales tools, requiring a significant shift in user behavior.
• Balancing Innovation with Usability: Ensuring that cutting-edge AI features are accessible and easy to use for a broad range of GTM professionals, not just AI experts.
• Rapid Iteration in a Startup Environment: Adapting quickly to evolving product strategy, technical constraints, and market feedback in a fast-paced startup context.

Learning & Development Opportunities:

• Deep Dive into AI Product Development: Gain hands-on experience with the latest AI technologies and methodologies applied to practical business problems.
• Industry Leadership: Opportunity to become a thought leader in the emerging field of AI-native revenue engines and GTM platforms.
• Mentorship and Skill Building: Access to experienced leaders and colleagues who can provide guidance on design strategy, AI UX, and startup growth.
• Contribution to a Disruptive Product: Play a key role in shaping a product that has the potential to fundamentally change how businesses operate.

📝 Enhancement Note: The primary challenge will be designing for the unique aspects of AI while also understanding the complex workflows of sales and revenue operations. Growth will come from mastering AI UX and contributing to a groundbreaking product.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing an AI-powered feature, from ideation to implementation. How do you handle the non-deterministic nature of AI?"
• "How would you approach designing a replacement for a core CRM function, emphasizing AI-driven insights and automation?"
• "Walk us through a project where you had to balance cutting-edge technology with user usability. What were the key trade-offs and how did you make decisions?"

Company & Culture Questions:

• "What excites you most about Monaco's mission to build the first revenue engine for startups?"
• "How do you approach collaboration with product managers and engineers in a fast-paced startup environment?"
• "Describe a time you had to advocate for a design decision that was initially met with resistance. How did you navigate that?"

Portfolio Presentation Strategy:

• Focus on AI Case Studies: Prioritize projects that demonstrate your understanding of AI UX, even if they are personal projects or concept work. Clearly articulate the problem, your process, and the intended outcomes.
• Showcase Problem-Solving: Be ready to discuss the challenges you faced in each project and how you overcame them. Emphasize your critical thinking and iterative approach.
• Quantify Impact: Wherever possible, present metrics that demonstrate the success of your designs. If direct metrics aren't available, discuss potential impact based on your research and design goals.
• Articulate Your Role: Clearly define your specific contributions, especially if working on a team project. Highlight instances of leadership or significant individual impact.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI UX principles, a strong grasp of GTM operations, and the ability to thrive in a fast-paced, ownership-driven startup environment. Be ready to articulate your design process and the impact of your work with confidence.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Ashby.
• Portfolio Customization: Tailor your portfolio to highlight your most relevant AI UX design projects and case studies that demonstrate end-to-end ownership and impact.
• Resume Optimization: Ensure your resume clearly outlines your 5+ years of product design experience, specific skills in AI UX, interaction design, and systems thinking, and any experience with SaaS or FinTech products.
• Prepare to Discuss AI & GTM: Be ready to articulate your understanding of AI product design challenges and the core needs of sales and revenue operations teams.
• Research Monaco: Thoroughly research Monaco's mission, product vision, and target market to demonstrate your genuine interest and alignment with the company's goals.

⚠️ 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.