AI Product Designer

📍 Job Overview

Job Title: AI Product Designer Company: Treasure Data Location: Mountain View, California, United States Job Type: FULL_TIME Category: Product Design / User Experience (UX) / AI Product Development Date Posted: December 05, 2025 Experience Level: Mid-Level (3-5 years) Remote Status: Hybrid

🚀 Role Summary

• Designs and delivers intuitive, refined, and human-centered AI-powered product experiences from concept to launch.
• Collaborates at the intersection of AI, big data, and human-centered design to define human-AI agent collaboration for complex marketing and data challenges.
• Creates clear interaction patterns, visualizations, and explanations for AI capabilities to build user confidence and trust.
• Integrates AI recommendations, automation, and insights into seamless user workflows through close partnership with Product Management and Engineering.
• Advocates for user needs throughout the design process, ensuring the final product delivers significant value and delight.

📝 Enhancement Note: This role is specifically focused on the application of AI within product design, emphasizing the user's interaction with intelligent systems. This goes beyond traditional UX/UI to include the explainability and trustworthiness of AI features, making it a specialized and forward-looking design position.

📈 Primary Responsibilities

• Design AI-driven user experiences from ideation through to final product launch, with a strong focus on transparency, trustworthiness, and human-centric principles.
• Develop clear and effective interaction patterns, data visualizations, and explanatory content for AI capabilities such as prediction, personalization, and automation, specifically to build user confidence and understanding.
• Partner closely with Product Managers to seamlessly integrate AI-powered recommendations, automation features, and actionable insights into established user workflows.
• Conduct user research and usability testing, with a specific emphasis on AI adoption and user comprehension, using findings to drive iterative design improvements.
• Maintain a proactive stance in staying abreast of the rapidly evolving AI landscape, actively exploring and experimenting with new AI-native prototyping tools and emerging design methodologies to accelerate exploration and delivery cycles.
• Leverage AI tools within daily design workflows for idea generation, automation of repetitive tasks, and overall productivity enhancement, serving as a practical example of effective human-AI partnership.
• Demonstrate strong adaptability and resilience in a dynamic startup environment where business priorities may shift, employing an iterative design process to experiment and identify optimal solutions.
• Ensure that even as the company builds "autonomous" agents, the user experience remains deeply human-centric, prioritizing transparency, ethical considerations, and empowering the marketer rather than aiming to replace them.

📝 Enhancement Note: The responsibilities highlight a dual focus: designing for AI capabilities and simultaneously using AI to enhance the design process itself. This indicates a forward-thinking approach to product development and a demand for designers who are both creative strategists and early adopters of new technology.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Design, Human-Computer Interaction (HCI), or a closely related field.

Experience:

• Minimum of 3-5 years of dedicated product design experience, with a proven track record of applying user-centered design principles throughout the entire product development lifecycle.

Required Skills:

• Profound understanding of user-centered design principles, established usability best practices, and effective information architecture.
• Exceptional visual design skills with a meticulous eye for detail, capable of creating aesthetically pleasing and highly user-friendly interfaces.
• Advanced proficiency in industry-standard design and prototyping tools, including Figma, Adobe XD, or similar software platforms.
• Demonstrated ability to design AI-driven experiences that are transparent, trustworthy, and human-centered.
• Experience in creating clear interaction patterns, visualizations, and explanations for complex AI capabilities.
• Proven experience collaborating with Product Management and Engineering teams on integrating AI features into user workflows.
• Experience with user research and usability testing, particularly concerning AI adoption.
• Adaptability and resilience, with a strong ability to thrive in a dynamic, fast-paced startup environment where priorities can shift.
• Proactive communication and excellent collaboration skills, with the ability to articulate complex topics and justify design decisions to diverse stakeholders.

Preferred Skills:

• Experience designing for enterprise-level software, particularly within the Customer Data Platform (CDP) or AI/ML product space.
• Familiarity with AI-native prototyping tools and generative design methodologies.
• Experience leveraging AI tools within design workflows to enhance productivity and creativity.
• A proactive and optimistic approach to problem-solving and team collaboration.
• A "Tech-Forward Mindset," acting as an early adopter of new design and AI tools.

📝 Enhancement Note: The requirement for 3-5 years of experience points to a mid-level role, expecting candidates to be largely independent but also capable of contributing to strategic design discussions. The emphasis on AI-native tools and leveraging AI in design workflows suggests a desire for candidates who are not just designers but also AI enthusiasts and early adopters.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a strong craft in user-centered design processes, including discovery, interaction design, prototyping, and visual design.
• Case studies demonstrating the ability to translate complex AI capabilities into intuitive and user-friendly experiences.
• Evidence of designing for transparency and trustworthiness in AI-powered features.
• Examples of creating clear interaction patterns, visualizations, and explanations for AI functionalities.
• Demonstrations of integrating AI insights or recommendations into user workflows.

Process Documentation:

• Portfolios should clearly articulate the design process followed for each project, detailing problem identification, research methods, ideation, iteration, and final solution.
• Showcasing the application of user research and usability testing, with specific attention to how insights were gathered and implemented, especially concerning AI adoption.
• Documentation of collaboration with cross-functional teams (Product Management, Engineering) and how design decisions were socialized and justified.
• Evidence of iterative design processes and adaptability to changing project requirements or business priorities.

📝 Enhancement Note: For an AI Product Designer role, the portfolio needs to go beyond standard UX deliverables. It must explicitly demonstrate how the candidate approaches the unique challenges of designing for AI, including explainability, trust, and human-AI collaboration. Case studies on AI integration and AI-assisted design processes would be highly advantageous.

💵 Compensation & Benefits

Salary Range: $107,000 - $130,000 per year (based on provided data)

Benefits:

• Comprehensive medical, dental, and vision plans.
• Employee Assistance Program (EAP) for support.
• Competitive compensation packages.
• Company-paid life insurance coverage (3x salary).
• Company-paid short-term and long-term disability coverage.
• Retirement planning (401K) with a 4% company match.
• Restricted Stock Units (RSU) for equity participation.
• Flexible Time Off (FTO) policy for work-life balance.
• Up to 26 weeks of paid parental leave, including a post-partum night nurse.
• Comprehensive reproductive health and family-building benefit through Carrot.

Working Hours:

• Typically 40 hours per week, aligned with full-time employment.

📝 Enhancement Note: The listed salary range of $107,000 - $130,000 is typical for a mid-level Product Designer role in the Mountain View, California area, considering the tech industry and the specialized nature of AI product design. The benefits package is robust, emphasizing employee well-being and long-term commitment, which is common for established tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Customer Data Platform (CDP) / Big Data / Artificial Intelligence (AI) / Marketing Technology Company Size: (As per LinkedIn data, Treasure Data has between 201-500 employees, placing it in the medium-sized company category.) This size typically offers a balance between the agility of a startup and the stability of a more established organization, allowing for significant individual impact within a structured framework. Founded: Treasure Data was founded in 2011, indicating a company with significant experience and a proven market presence in the CDP space. This history suggests a stable foundation with evolving product lines, particularly in AI.

Team Structure:

• The AI Product Designer will likely join a Product Design team that collaborates closely with Product Management and Engineering departments.
• Reporting structure will likely be to a Design Lead or Head of Product Design, with frequent interaction with Product Managers and AI/ML Engineering teams.
• Cross-functional collaboration is a core element, requiring seamless integration with teams focused on AI research, data science, platform development, and marketing solutions.

Methodology:

• Treasure Data emphasizes a data-driven and customer-obsessed approach, reflecting the nature of its CDP business.
• The company values honesty, reliability, openness, and humility, fostering a culture of trust and transparency.
• Design processes are expected to be iterative, embracing experimentation and adapting to evolving business priorities, especially given the fast-paced nature of AI development.

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

📝 Enhancement Note: Treasure Data's position as a leader in Customer Data Platforms, recognized by Forrester, suggests a company with a strong technical foundation and a focus on delivering tangible business outcomes. The emphasis on AI and real-time capabilities indicates a forward-looking strategy. The company culture described (enthusiastic, data-driven, customer-obsessed, drivers) points to a high-performance environment that values initiative and problem-solving.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level AI Product Designer. It requires independent contribution and the ability to manage design tasks from inception to completion, while also collaborating effectively with senior team members and cross-functional partners. The scope includes designing complex AI-driven features, not just user interfaces.

Reporting Structure: The AI Product Designer will likely report to a Design Manager or Lead Designer, working closely with Product Managers and Engineering teams. This structure allows for mentorship from senior designers while ensuring direct contribution to product strategy and development.

Operations Impact: The designs created by this role will directly influence how customers interact with and derive value from Treasure Data's AI capabilities. This impacts customer adoption, satisfaction, revenue growth, and operational efficiency for their clients by enabling more sophisticated data utilization and AI-driven marketing strategies. The role is central to translating complex AI technology into usable, valuable business solutions.

Growth Opportunities:

• Skill Specialization: Develop deep expertise in designing for AI, including areas like explainable AI (XAI), human-AI teaming, and ethical AI design principles.
• Leadership Potential: Progress to Senior AI Product Designer roles, leading design initiatives for major AI features or product areas, mentoring junior designers.
• Cross-Functional Movement: Potentially move into Product Management roles, leveraging design thinking and user advocacy to shape product roadmaps, or into AI/ML product strategy roles.
• Industry Influence: Become a thought leader in AI product design through contributions to design communities, conferences, or internal best practices.

📝 Enhancement Note: The role offers a unique opportunity to specialize in the burgeoning field of AI product design within the context of a robust customer data platform. Growth will likely involve not only advancing design skills but also deepening understanding of AI/ML principles and their application in business solutions.

🌐 Work Environment

Office Type: Hybrid work environment, based out of the Mountain View, California office. This implies a mix of in-office collaboration and remote work, adhering to a "Global Hybrid Working Policy." Office Location(s): 2440 W El Camino Real, Suite 101, Mountain View, CA 94040. This location is in the heart of Silicon Valley, offering proximity to a vibrant tech ecosystem.

Workspace Context:

• The Mountain View office is expected to foster a collaborative atmosphere conducive to team-based design work, brainstorming, and cross-functional meetings.
• Access to modern design tools and technologies, including potential AI-powered design assistants, will be available to facilitate the design process.
• Opportunities for direct interaction with design, product, and engineering teams will be frequent, supporting a dynamic and communicative work environment.

Work Schedule:

• Standard full-time hours (approximately 40 hours per week) are expected, with flexibility often inherent in hybrid roles. Occasional travel (10-15%) may be required for internal meetings and customer visits.

📝 Enhancement Note: The hybrid model suggests a deliberate approach to balancing in-person collaboration, vital for design sprints and team cohesion, with the flexibility of remote work. The Silicon Valley location places the designer in a hub of innovation, likely influencing the pace and nature of work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications and cultural fit.
• Portfolio Presentation/Design Challenge: Candidates will likely present their portfolio, highlighting key projects and their design process. A design challenge, potentially focused on an AI-related problem, may be administered to assess practical skills and problem-solving abilities.
• Hiring Manager/Team Interviews: In-depth discussions with the hiring manager, senior designers, and potentially Product Managers and Engineers to evaluate design thinking, technical proficiency, collaboration skills, and understanding of AI.
• Final Round: May involve a broader panel interview or a discussion with senior leadership to confirm alignment with company values and strategic direction.

Portfolio Review Tips:

• Focus on AI: Ensure your portfolio prominently features projects that demonstrate experience with AI, machine learning, or complex data-driven features. Highlight how you made these complex concepts understandable and usable.
• Process over Polish: While visual appeal is important, emphasize your design process, problem-solving approach, and the rationale behind your decisions. Detail how you incorporated user feedback and iterative improvements.
• Quantify Impact: Where possible, include metrics or outcomes that demonstrate the success of your designs, such as improved user adoption, increased engagement, or enhanced efficiency. For AI features, this might involve demonstrating increased accuracy, user trust, or task completion rates.
• Explain AI Integration: Clearly articulate your role in designing AI features, how you approached user research for AI adoption, and how you ensured transparency and trustworthiness.
• Tool Proficiency: Showcase your mastery of tools like Figma and your willingness to experiment with new AI-powered design tools.

Challenge Preparation:

• AI Use Cases: Be prepared to discuss common AI applications in marketing and data analysis, and how to design for them.
• Ethical Design: Understand principles of ethical AI design, bias mitigation, and ensuring fairness and transparency.
• User Research for AI: Think about how to conduct effective user research for AI products, focusing on user comprehension, trust, and adoption.
• Communication: Practice articulating complex design decisions and AI concepts clearly and concisely to non-designers.

📝 Enhancement Note: The emphasis on AI in both responsibilities and qualifications means the portfolio and interview process will likely scrutinize candidates' ability to translate abstract AI concepts into tangible, user-friendly product experiences. Demonstrating an understanding of ethical AI and user trust will be crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), Adobe XD, or similar software.
• Collaboration & Communication: Slack, Jira, Confluence, Google Workspace.
• AI-Powered Design Tools: Candidates are encouraged to experiment with and potentially leverage AI plugins for Figma, generative design tools, or other AI-assisted design platforms.

Analytics & Reporting:

• While not a direct responsibility of the designer, understanding how design impacts key metrics tracked by analytics tools (e.g., user engagement, feature adoption, task completion rates) is beneficial. Familiarity with tools like Google Analytics, Amplitude, or Mixpanel would be advantageous.

CRM & Automation:

• Familiarity with CRM systems (like Salesforce) and marketing automation platforms is helpful for understanding the broader ecosystem Treasure Data serves, though direct design work within these may be limited.

📝 Enhancement Note: Proficiency in Figma is a must. The encouragement to experiment with AI-powered design tools suggests Treasure Data is keen on designers who are at the forefront of technological adoption in their craft. Understanding the data-centric nature of their platform means an appreciation for data visualization and how design can leverage data insights is a plus.

👥 Team Culture & Values

Operations Values:

• Data-Driven & Customer-Obsessed: Decisions and designs are grounded in data insights and a deep understanding of customer needs and business outcomes.
• Honesty, Reliability, Openness, Humility: These core values foster a culture of trust, accountability, and continuous improvement.
• Proactive & Driver Mentality: Taking initiative, anticipating needs, and proactively solving problems are highly valued.
• Agility & Adaptability: Embracing change, learning quickly, and thriving in a dynamic environment are essential.
• Ethical & Transparent AI: A commitment to designing AI systems that are fair, unbiased, and clearly understood by users.

Collaboration Style:

• Highly collaborative, involving close partnership with Product Management, Engineering, Data Science, and potentially Marketing teams.
• Open communication and constructive feedback are encouraged to foster innovation and ensure alignment.
• Design thinking is applied across teams to approach problem-solving from a user-centric perspective.

📝 Enhancement Note: The emphasis on "drivers" and proactive problem-solving suggests a culture that rewards initiative. The core values indicate a preference for individuals who are not only skilled but also possess strong interpersonal ethics and a commitment to continuous learning and improvement, particularly in the sensitive area of AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Explainable AI: Communicating complex AI decision-making processes in a way that users can understand and trust.
• Balancing AI Autonomy with Human Control: Creating AI-powered features that empower users without overwhelming or replacing their agency.
• Rapidly Evolving AI Landscape: Keeping pace with new AI technologies, tools, and methodologies to ensure designs remain cutting-edge.
• Integrating AI into Existing Workflows: Seamlessly embedding AI capabilities into established user journeys without causing disruption.
• Ethical AI Considerations: Designing responsibly to mitigate bias, ensure fairness, and maintain user privacy.

Learning & Development Opportunities:

• Specialized AI Design Training: Access to resources and potentially training focused on human-AI interaction, explainable AI, and AI ethics.
• Exposure to Cutting-Edge AI: Working with advanced AI/ML models and technologies within the Treasure Data CDP.
• Cross-Functional Learning: Deepening understanding of data science, machine learning, and enterprise software development through collaboration.
• Industry Conferences: Opportunities to attend relevant design or AI conferences to stay current and network.
• Mentorship: Learning from senior designers and AI experts within the organization.

📝 Enhancement Note: This role presents a significant opportunity to become a specialist in a high-demand field. The challenges are directly related to the frontier of AI product design, offering substantial learning and development potential for ambitious designers.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex feature that required significant user education. How did you approach it, and what was the outcome?" (Focus on your process for explaining abstract concepts.)
• "How do you ensure AI-driven features are perceived as trustworthy and transparent by users?" (Prepare to discuss ethical AI principles, explainability techniques, and user feedback loops.)
• "Walk me through your process for designing an AI-powered recommendation or automation feature. What were the key considerations and trade-offs?" (Highlight your iterative design process, user research, and problem-solving.)
• "How do you stay current with advancements in AI and design tools? Can you give an example of how you've experimented with new AI tools in your workflow?" (Showcase your proactive learning and tech-forward mindset.)

Company & Culture Questions:

• "What interests you about Treasure Data and our mission to simplify data and AI for customer experiences?" (Research their CDP, AI focus, and market position.)
• "How do you approach collaboration with Product Managers and Engineers, especially when dealing with technical constraints or new AI technologies?" (Emphasize your communication, negotiation, and teamwork skills.)
• "Describe your experience working in a dynamic or startup-like environment. How do you handle shifting priorities?" (Highlight your adaptability and resilience.)
• "How do you ensure your designs align with company values like honesty, reliability, and customer obsession?" (Connect your design philosophy to their stated values.)

Portfolio Presentation Strategy:

• Tell a Story: For each case study, frame it as a narrative: the problem, your approach, the solution, and the impact.
• Show, Don't Just Tell: Use visuals, mock-ups, prototypes, and user flows to illustrate your design decisions.
• Highlight AI Relevance: Explicitly point out the AI components of your projects and your specific contributions to designing those aspects. Discuss any user research conducted specifically on AI adoption or understanding.
• Demonstrate Process: Clearly explain your design methodology, including how you conducted research, iterated on designs, and collaborated with stakeholders.
• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, technical considerations, and how you handled challenges.

📝 Enhancement Note: Interviewers will be looking for a blend of strong design fundamentals, a genuine understanding of AI's capabilities and limitations, and the ability to apply these in a pragmatic, user-centered way. Demonstrating curiosity and a proactive approach to learning about AI will be key differentiators.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on the Treasure Data careers page.
• Portfolio Customization: Tailor your resume and portfolio to highlight experience specifically with AI product design, user-centered design for complex systems, and proficiency in tools like Figma. Ensure case studies clearly articulate your role in designing AI-driven features, user research for AI adoption, and how you ensured transparency and trustworthiness.
• Resume Optimization: Integrate keywords from the job description such as "AI Product Design," "User-Centered Design," "Prototyping," "Figma," "Human-AI Collaboration," and "Ethical AI." Quantify achievements where possible, focusing on impact related to user experience and feature adoption.
• Interview Preparation: Practice articulating your design process, especially for AI-related projects. Prepare to discuss ethical considerations in AI design and how you translate complex technical concepts into user-friendly experiences. Rehearse your portfolio presentation to be concise, engaging, and focused on your contributions and problem-solving skills.
• Company Research: Thoroughly research Treasure Data's products, their position in the CDP market, and their emphasis on AI. Understand their company culture and values to articulate your alignment 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.

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