Senior Product Designer - UI/UX

📍 Job Overview

Job Title: Senior Product Designer - UI/UX

Company: Wisdom AI

Location: San Mateo, California, United States

Job Type: Full-time

Category: Product Design / UI/UX Operations

Date Posted: April 27, 2026

Experience Level: 6+ Years

Remote Status: On-site

🚀 Role Summary

• Drive the design strategy and execution for Wisdom AI's enterprise data intelligence platform, focusing on UI/UX and information architecture.

• Translate complex data insights into intuitive and actionable user experiences for data analysts and business users.

• Collaborate closely with product management and engineering to define and deliver innovative design solutions within a fast-paced startup environment.

• Conduct user research and leverage data-driven insights to inform design decisions and product enhancements.

• Shape the visual identity and interaction design of a growing data intelligence platform.

📝 Enhancement Note: This role is positioned within a "Product Design / UI/UX Operations" category to highlight the operational aspects of design execution, user research integration, and cross-functional collaboration crucial for GTM success, even though the core function is design. The "go-getter" and "startup environment" mentions suggest a need for proactive individuals who can manage multiple design projects and adapt quickly to evolving business needs.

📈 Primary Responsibilities

• Define and refine information architecture, including app maps, user flows, wireframes, mockups, and interactive prototypes that enhance user comprehension and data extraction.

• Conduct comprehensive user research, employing methodologies to identify user pain points, validate design concepts, and uncover opportunities for product improvement.

• Partner closely with the engineering team throughout the implementation phase, ensuring design integrity and providing clear specifications for pixel-perfect execution.

• Engage directly with end-users to gather qualitative and quantitative feedback, iterating on designs to optimize usability and user satisfaction.

• Align design efforts with the product roadmap, proactively anticipating future design needs and contributing to strategic product planning.

• Develop and champion a consistent design system and style guide to ensure brand coherence and efficient design implementation across the platform.

• Create compelling data visualizations and information design elements that make complex data accessible and actionable for a diverse user base.

📝 Enhancement Note: The responsibilities are framed to emphasize the operational aspects of design, such as defining architecture, conducting research, collaborating with engineering for implementation, and gathering user feedback for iteration. This aligns with the operational focus of the role in ensuring design processes contribute directly to product development efficiency and user adoption.

🎓 Skills & Qualifications

Education: Formal training in graphic design, interactive design, or a related field. A Bachelor's degree is typically expected for senior roles, though equivalent practical experience will be considered.

Experience: 6+ years of professional product design experience, with a demonstrated track record of designing and launching complex enterprise software or data-intensive platforms.

Required Skills:

• Expertise in defining information architecture, user flows, wireframes, mockups, and prototypes.

• Proven ability to conduct user research, synthesize findings, and translate them into actionable design improvements.

• Proficiency with industry-standard design and prototyping tools, including Figma, Webflow, Notion, and Adobe Creative Suite.

• Strong foundational knowledge of CSS and HTML, with a plus for React experience, enabling effective collaboration with engineering.

• Exceptional typographic skills and a keen eye for visual detail and aesthetic consistency.

• A data-driven mindset with a strong aptitude for information visualization and presenting complex data clearly.

• Excellent verbal and written communication skills, with the ability to articulate design decisions and collaborate effectively across teams.

Preferred Skills:

• Knowledge or experience with databases, cloud computing, or networking infrastructure.

• Experience with data visualization libraries or tools.

• Familiarity with modern front-end development frameworks (e.g., React).

• A passion for creative problem-solving and a proactive approach to enhancing user experiences.

📝 Enhancement Note: The "6+ years of experience (post education)" is interpreted as requiring a minimum of six years of dedicated professional experience in product design roles, beyond academic training. The emphasis on CSS/HTML/React skills, along with tools like Figma and Jira, points to a need for designers who can bridge the gap between design and development, a common requirement in fast-paced tech environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing at least 3-5 significant product design projects, with a strong emphasis on enterprise software or data-driven applications.

• Detailed case studies that articulate the design process, including problem definition, user research methodologies, design iterations, and final solutions.

• Demonstrations of information architecture, user flows, wireframes, high-fidelity mockups, and interactive prototypes.

• Evidence of information visualization and data presentation skills, showcasing how complex data was made accessible and actionable.

Process Documentation:

• Clarity on how user research insights were integrated into the design process and led to tangible improvements.

• Documentation of design system components or style guides developed and their impact on consistency and efficiency.

• Examples of how design challenges were overcome through iterative design and user feedback loops.

• Showcasing proficiency with design handoff processes and collaboration with development teams using tools like Jira and Git.

📝 Enhancement Note: The portfolio requirements are tailored to the specific needs of a Senior Product Designer in a data intelligence platform context. Emphasis is placed on demonstrating experience with complex data, enterprise users, and the operational aspects of design, such as collaboration with engineering and adherence to product roadmaps.

💵 Compensation & Benefits

Salary Range: $150,000 - $180,000 per year.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Stock options or equity in a rapidly growing startup.

• Generous paid time off (PTO) and holidays.

• Opportunities for professional development, including conferences and training.

• Catered lunches and snacks in the office.

• Commuter benefits for on-site employees.

• A dynamic and collaborative work environment fostering innovation.

Working Hours: Standard full-time hours are approximately 40 hours per week, with flexibility expected in a startup environment to meet project deadlines and evolving business needs.

📝 Enhancement Note: The salary range provided by the input data is used directly. Benefits are inferred based on standard offerings for full-time employees at growth-stage tech startups in the San Francisco Bay Area, emphasizing aspects relevant to attracting and retaining senior talent in a competitive market. The "go-getter" and "fast-paced startup environment" mentions imply that while standard hours exist, occasional extended work may be necessary.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Data Intelligence, Enterprise Software. Wisdom AI operates at the intersection of AI and data analytics, providing a platform that helps businesses derive actionable insights from their data. This context suggests a culture that values innovation, technical expertise, and problem-solving.

Company Size: 20-30 team members. This indicates a small to medium-sized startup, offering opportunities for significant individual impact, direct access to leadership, and a fast-paced, agile work environment.

Founded: The company is in its second year, suggesting a relatively young organization with a strong focus on product-market fit and rapid growth.

Team Structure:

• The Senior Product Designer will report directly to the Head of Design, providing a clear reporting line and mentorship opportunity.

• Close collaboration with a dedicated Engineering Team is expected, emphasizing a tight-knit product development cycle.

Methodology:

• Data Analysis & Insights: A strong emphasis on using data to inform design decisions and measure impact, aligning with the company's core business.

• Workflow Planning & Optimization: Designing efficient user workflows and optimizing the user journey within the data intelligence platform.

• Automation & Efficiency: Leveraging design to create intuitive interfaces that automate complex data tasks and improve user efficiency.

Company Website: https://wisdom.ai

📝 Enhancement Note: The company description and stage (second year, 20-30 members) suggest a culture that is likely lean, agile, and highly collaborative. The "go-getter" requirement implies a need for self-starters who are comfortable with ambiguity and taking ownership. The industry focus on AI and data intelligence means a strong emphasis on technical proficiency and data-driven decision-making.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level Product Designer role, indicating a significant level of autonomy, responsibility, and expected contribution to product strategy. The designer is expected to lead complex design initiatives, mentor junior designers (if/when they join), and have a substantial impact on the product's direction and user experience.

Reporting Structure: The role reports to the Head of Design, suggesting a direct line of mentorship and strategic guidance. This structure allows for close alignment on design vision and execution.

Operations Impact: The Senior Product Designer will have a direct and measurable impact on the company's success by enhancing the usability and effectiveness of its core data intelligence platform. This impact translates into increased user adoption, customer satisfaction, and ultimately, revenue growth through a superior product offering.

Growth Opportunities:

• Specialization: Opportunity to deepen expertise in UI/UX for data intelligence, AI-driven products, and complex enterprise software.

• Leadership: Potential to grow into a Lead Designer or Design Manager role as the company scales, taking on more strategic responsibilities and team leadership.

• Skill Development: Exposure to cutting-edge AI technologies and data visualization techniques, fostering continuous learning and skill enhancement.

• Product Influence: Significant opportunity to shape the product roadmap and influence the overall user experience strategy of a growing company.

📝 Enhancement Note: The "Senior" title and startup environment suggest significant opportunities for growth beyond the immediate role. The emphasis on "shaping the future" and "making an immediate impact" points to a career path that could move towards leadership or specialized expertise within the AI/Data Intelligence domain.

🌐 Work Environment

Office Type: The role is explicitly stated as "onsite" in San Mateo, California. This suggests a traditional office environment designed to foster collaboration and in-person innovation typical of tech startups.

Office Location(s): San Mateo, California. This location places the role within the vibrant San Francisco Bay Area tech ecosystem, offering access to talent, networking opportunities, and a hub for innovation.

Workspace Context:

• Collaborative Environment: Expect an open or semi-open office layout designed to encourage spontaneous interactions and teamwork between design, engineering, and product teams.

• Tools & Technology: Access to high-performance workstations, relevant design software (Figma, Adobe Creative Suite), and potentially specialized tools for data visualization or prototyping.

• Team Interaction: Frequent face-to-face interactions with the Head of Design, Engineering Team, and Product Managers, facilitating rapid feedback loops and problem-solving.

Work Schedule: While a standard full-time schedule is expected, the startup environment often implies a level of flexibility and dedication. Team members are likely encouraged to manage their time effectively to meet project milestones, with a focus on results rather than strict adherence to hours.

📝 Enhancement Note: The "onsite" requirement is a key detail. For operations roles, this implies a need for individuals who thrive in a physically present collaborative setting, contributing to team cohesion and dynamic problem-solving. The San Mateo location is a significant draw for tech talent in the Bay Area.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications and cultural fit.

• Portfolio Presentation & Design Challenge: A core part of the process will involve presenting a curated portfolio, walking through key projects, and potentially completing a design exercise or case study related to data intelligence or enterprise UX.

• Team Interviews: Meetings with the Head of Design and members of the Engineering Team to evaluate technical skills, collaboration style, and problem-solving approach.

• Final Round: Possibly a discussion with the CEO or other senior leadership to assess strategic thinking and overall fit with the company's vision.

Portfolio Review Tips:

• Storytelling: Frame each project as a narrative, clearly outlining the problem, your role, the design process, the challenges faced, and the quantifiable outcomes.

• Process Emphasis: Showcase your design process, highlighting how you used user research, data insights, and iteration to arrive at your solutions.

• Data Visualization Focus: For this role, explicitly demonstrate projects where you've effectively visualized complex data or designed interfaces for data analysis.

• Technical Collaboration: Be prepared to discuss how you collaborated with engineers, the tools you used for handoff (e.g., Figma, Jira), and how you ensured design implementation accuracy.

• Wisdom AI Alignment: Research Wisdom AI's mission and product to tailor your presentation and highlight how your skills and experience align with their goals.

Challenge Preparation:

• Be ready for a practical design exercise that might involve analyzing a dataset, sketching user flows for a data task, or designing a key UI element for their platform.

• Practice articulating your design decisions concisely and justifying them with user research, data, or best practices.

• Prepare questions about the product, the design team's workflow, and the company's strategic direction.

📝 Enhancement Note: The interview process is inferred based on typical senior product design hiring practices in tech startups, with a specific emphasis on portfolio content relevant to data intelligence and enterprise UX. The "go-getter" aspect suggests interviewers will look for proactivity and ownership.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), Adobe Creative Suite (e.g., Photoshop, Illustrator), Webflow (for potential website integration or rapid prototyping), other prototyping tools (e.g., InVision, Principle).

• Collaboration & Project Management: Jira (for task tracking and bug reporting), Notion (for documentation, knowledge sharing, and potentially design system notes), Git (for version control of design assets and collaborative workflows).

• User Research & Feedback: Tools for conducting user interviews, surveys, and usability testing (specific tools may vary but include platforms like UserTesting.com, SurveyMonkey, or internal tools).

Analytics & Reporting:

• Data Visualization: Experience with or understanding of data visualization principles and tools is crucial. While specific tools aren't listed, familiarity with libraries like D3.js, or BI tools like Tableau/Looker (as a user or collaborator) would be beneficial.

• Product Analytics: Understanding how to use product analytics tools (e.g., Amplitude, Mixpanel) to gather user behavior data and inform design decisions.

CRM & Automation:

• While not directly a CRM role, understanding how design impacts user adoption and retention within a customer lifecycle is valuable. Familiarity with how design integrates with sales and marketing enablement tools might be a plus.

📝 Enhancement Note: The listed tools (Figma, Webflow, Notion, Jira, Git) are directly from the job description. The inclusion of "Data Visualization" and "Information Design" necessitates inferring the importance of related tools or at least a strong understanding of their principles, even if not explicitly listed as required software proficiency.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving user needs, driving design decisions based on user research and feedback.

• Data-Driven Innovation: Utilizing data and insights to fuel creative problem-solving and deliver impactful design solutions.

• Collaboration & Transparency: Fostering an open environment where ideas are shared freely, and teams work together effectively to achieve common goals.

• Excellence & Craftsmanship: A dedication to high-quality design execution, attention to detail, and continuous improvement of the product experience.

• Agility & Adaptability: Embracing a fast-paced startup culture, with the ability to pivot quickly and respond to evolving business requirements.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with Product Management and Engineering, ensuring design is an integral part of the product development lifecycle from ideation to launch.

• Iterative Feedback Loops: Regularly seeking and providing constructive feedback on designs and processes to ensure continuous improvement and alignment.

• Knowledge Sharing: Actively participating in design critiques, sharing best practices, and contributing to the growth of the design team and company knowledge base.

📝 Enhancement Note: The values are inferred from the company's industry (AI, Data Intelligence), stage (startup), and the role's requirements (collaboration, data-driven). The emphasis on "go-getter" and "fast-paced" suggests a culture that rewards initiative and adaptability.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate data intelligence concepts and large datasets into user-friendly interfaces for diverse user personas.

• Startup Pace & Ambiguity: Navigating a rapidly evolving startup environment where priorities may shift, requiring adaptability and proactive problem-solving.

• Balancing User Needs with Business Goals: Ensuring that design solutions meet user needs while also driving business objectives and platform growth.

• Cross-Functional Alignment: Effectively managing design expectations and communication across engineering, product, and potentially sales/marketing teams.

Learning & Development Opportunities:

• AI & Data Specialization: Gaining deep expertise in designing for AI-powered platforms and complex data visualization challenges.

• Product Strategy Influence: Playing a key role in shaping the future direction and user experience of Wisdom AI's core product.

• Leadership Potential: Opportunities to mentor junior designers and potentially lead design initiatives as the company scales.

• Industry Exposure: Working with cutting-edge technologies and staying abreast of the latest trends in UI/UX design for enterprise SaaS.

📝 Enhancement Note: Challenges are framed around the specific domain (data intelligence, AI) and the company stage (startup). Growth opportunities are tied to career progression within design leadership and specialization in a high-demand tech sector.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex data visualization. What was your process, and what challenges did you face?" (Preparation: Prepare a case study focusing on data visualization, detailing methodology and outcomes.)

• "How do you approach balancing user needs with technical constraints or business objectives in a startup environment?" (Preparation: Discuss your framework for prioritization and negotiation, using examples of trade-offs.)

Company & Culture Questions:

• "What excites you about Wisdom AI and our mission to democratize data intelligence?" (Preparation: Research Wisdom AI's product, market position, and recent news. Connect your passion to their mission.)

• "How do you contribute to a collaborative and fast-paced team environment?" (Preparation: Provide examples of your teamwork, contributions to team culture, and how you handle pressure.)

Portfolio Presentation Strategy:

• Structure: Begin with an executive summary of your role and the project's core problem. Then, detail your process, key decisions, and outcomes.

• Highlight Impact: Quantify the results of your design work whenever possible (e.g., improved conversion rates, reduced task completion time, increased user satisfaction scores).

• Showcase Process: Emphasize your problem-solving approach, user research insights, and iterative design process.

• Data Focus: Clearly present examples of data visualization and how your designs made complex information accessible.

• Technical Collaboration: Be ready to discuss your collaboration with engineers, including design handoff, tool usage (Figma, Jira), and how you ensured implementation fidelity.

📝 Enhancement Note: Interview questions are designed to probe critical skills for a Senior Product Designer in an AI/Data Intelligence startup, focusing on problem-solving, collaboration, and understanding of the product lifecycle. Portfolio presentation advice is tailored to demonstrate these specific competencies.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to highlight relevant projects, focusing on enterprise software, data visualization, and complex UI/UX challenges. Showcase at least 3-5 impactful case studies.

• Resume Optimization: Ensure your resume clearly articulates your 6+ years of experience, proficiency in key design tools (Figma, Webflow, Adobe Suite), and experience with user research, information architecture, and data-driven design.

• Interview Preparation: Practice presenting your portfolio, articulating your design process, and answering strategy questions related to data intelligence and enterprise UX. Prepare thoughtful questions for the interviewers.

• Company Research: Thoroughly research Wisdom AI, its product, mission, and current market position. Understand their target audience and the challenges they aim to solve to better align your application and interview responses.

⚠️ 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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