Product Designer - Super Agent Platform

📍 Job Overview

Job Title: Product Designer - Super Agent Platform

Company: YipitData

Location: Remote (United States)

Job Type: Full-Time

Category: Product Design / UX Design (Specializing in AI & Data Platforms)

Date Posted: 2026-06-12

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote within the United States

🚀 Role Summary

• Design end-to-end user experiences for an AI-powered Insight Agent, transforming how customers interact with complex data.

• Translate intricate AI and data concepts into intuitive, trustworthy, and actionable user interfaces and workflows.

• Collaborate closely with Product, Engineering, and Data Science teams to define and build a new, strategic product from the ground up.

• Shape the future of market intelligence by defining novel interaction patterns for AI-driven insights and decision support.

• Contribute to and maintain design systems, ensuring consistency and scalability across a rapidly evolving product.

📝 Enhancement Note: This role is for a Product Designer focused on AI and data products, specifically an "Insight Agent" which requires a deep understanding of user interaction with AI-generated results and complex datasets. The "Super Agent Platform" nomenclature suggests a sophisticated, integrated system. The emphasis on "analyst-quality answers" and "AI-powered market intelligence" indicates a need for designers who can instill trust and clarity in complex, data-heavy outputs.

📈 Primary Responsibilities

• Own the complete design lifecycle for critical Super Agent workflows, from initial concept and user research through to launch and iteration.

• Develop intuitive user flows and interfaces that empower customers to easily explore data, formulate complex questions, and derive actionable insights.

• Design experiences that foster user trust in AI-generated outputs by prioritizing transparency, explainability, and clear data provenance.

• Partner strategically with Product Managers and Engineers to collaboratively define product requirements, evaluate technical feasibility of design solutions, and ensure the delivery of high-quality, user-centric products.

• Conceptualize and design novel interaction patterns and user journeys for emergent AI capabilities and evolving customer use cases within the Insight Agent.

• Conduct targeted user research, including interviews and usability testing, to deeply understand customer needs, pain points, and desired outcomes related to AI-driven insights.

• Leverage qualitative and quantitative data to inform design decisions and drive continuous improvement in product experiences, usability, and customer value.

• Actively contribute to the evolution and maintenance of YipitData's design system, ensuring design consistency, scalability, and adherence to established standards across all product touchpoints.

• Collaborate with Engineering to ensure design fidelity and optimal user experience are maintained throughout development and across product releases.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product thinking and hands-on design execution. The emphasis on "end-to-end design," "define problems, evaluate solutions," and "shape product direction" indicates a need for a designer who can operate with significant autonomy and influence. The specific mention of "AI & Agent Experience Design" and "build trust in AI-generated outputs" points to a specialized area of UX design that is critical for this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a background in Design (e.g., HCI, Graphic Design, Interaction Design), Computer Science, or a related field is beneficial.

Experience: Minimum of 3 years of dedicated experience designing B2B SaaS, enterprise software, analytics platforms, or data-intensive products.

Required Skills:

• Demonstrated expertise in end-to-end product design, encompassing user research, information architecture, interaction design, and visual design.

• A strong portfolio showcasing robust product thinking, sophisticated UX design skills, and high-quality visual design craft, with specific examples of complex workflow or data product design.

• Proven ability to design and simplify complex information and data into intuitive, user-friendly experiences.

• Experience designing complex workflows, dashboards, analytics tools, or products that leverage AI/ML.

• Exceptional collaboration and communication skills, with a track record of effectively partnering with Product Managers and Engineers in an agile environment.

• Comfort and proficiency in operating within ambiguous environments, with a proactive approach to shaping products from foundational principles.

• Mastery of modern design and prototyping tools, with a strong emphasis on Figma.

• An entrepreneurial mindset, coupled with a demonstrated ability to build and launch impactful products that drive significant customer value. Preferred Skills:

• Direct experience designing AI/LLM-powered products, advanced data platforms, sophisticated analytics products, or decision-support tools.

• Familiarity with data visualization best practices and the ability to design clear, effective data representations.

• Experience contributing to or managing design systems.

• Understanding of user research methodologies and the ability to translate research findings into design solutions.

📝 Enhancement Note: The requirements emphasize a blend of core product design competencies and specialized experience in data-rich and AI-driven environments. The "3+ years" coupled with the preference for AI/LLM experience suggests the company is looking for someone who can hit the ground running on a cutting-edge product. The portfolio is critical, specifically needing to demonstrate experience with complexity and AI.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design projects that highlight your problem-solving process, from initial user research and ideation to final UI/UX implementation.

• Include at least one significant case study detailing the design of a complex workflow, an analytics tool, a data visualization interface, or an AI-powered feature.

• Demonstrate your ability to translate complex technical concepts (e.g., AI, large datasets) into clear, intuitive user experiences.

• Highlight your proficiency with Figma, including examples of interactive prototypes or design system components you've created.

• Clearly articulate your role, the challenges faced, the design decisions made, and the measurable impact or outcomes of your work. Process Documentation:

• Be prepared to discuss your personal design process, including how you approach user research, problem definition, ideation, prototyping, user testing, and iteration.

• Demonstrate an understanding of how to document design decisions, user flows, and UI specifications for effective collaboration with engineering teams.

• Be ready to explain how you ensure design consistency and scalability, potentially through contributions to design systems or style guides.

📝 Enhancement Note: For a Product Designer role focused on AI and complex data, the portfolio must go beyond aesthetics. It needs to demonstrate a deep understanding of user workflows, the ability to simplify complexity, and a strategic approach to problem-solving within a technical context. Preparing case studies that clearly articulate the "why" behind design decisions and their impact is crucial.

💵 Compensation & Benefits

Salary Range:

For a remote Product Designer role with 3+ years of experience in the US, a competitive salary range would typically fall between $120,000 - $170,000 USD per year. This estimate is based on industry benchmarks for mid-level product designers in tech, considering the specialization in AI/data products and the fully remote nature of the position. Factors such as specific location within the US (though remote, some companies may adjust based on cost of living), depth of relevant experience, and negotiation skills will influence the final offer.

Benefits:

• Competitive base salary and equity package

• Fully remote-friendly within the United States

• Flexible work hours and flexible vacation policy

• Generous 401(k) match

• Comprehensive parental leave

• Wellness budget

• Learning reimbursement for professional development

Working Hours: While specific hours are flexible, the role is generally expected to align with standard full-time work (approximately 40 hours per week), with flexibility to accommodate different time zones within the US and personal schedules. Collaboration will require availability during core business hours for team syncs.

📝 Enhancement Note: The salary range is an estimation based on typical US tech compensation for a mid-level Product Designer with specialized skills. The benefits listed are directly from the job description and are standard for competitive tech roles, emphasizing work-life balance and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data Intelligence / Market Intelligence / Alternative Data. YipitData operates in a fast-paced, data-driven environment, providing critical insights to businesses. The company's focus on AI and a new "Insight Agent" signifies a forward-thinking approach to data analytics and customer interaction.

Company Size: The provided data does not specify company size, but Greenhouse job boards often list mid-sized to large, established tech companies. A typical "remote-friendly" and "growth-oriented" environment suggests a company that has scaled beyond startup phase but retains agility.

Founded: The founding date is not provided, but the company's focus on cutting-edge AI and strategic product bets implies a relatively modern or rapidly evolving organization.

Team Structure:

• The Super Agent team is likely a cross-functional unit comprising Product Designers, Product Managers, Software Engineers, and Data Scientists.

• The Product Designer will report into a Design Lead or Head of Product, working closely with a dedicated Product Manager and Engineering team for the Super Agent platform.

• Collaboration is expected to be high, with frequent interaction across Product, Engineering, and Data Science to define and build the AI agent. Methodology:

• Data-driven decision-making is core to YipitData's operations, influencing both product development and design processes.

• Agile development methodologies are likely employed, requiring designers to work iteratively and adapt to evolving requirements.

• A strong emphasis on user-centric design, informed by research and feedback, will guide product strategy and user experience development.

Company Website: yipitdata.com

📝 Enhancement Note: YipitData's focus on alternative data and AI suggests a culture that values analytical rigor, innovation, and a deep understanding of market dynamics. The "Super Agent Platform" initiative indicates a significant investment in AI and a strategic pivot or expansion, suggesting an exciting and potentially high-impact environment for a designer.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (2-5 years of experience), with significant potential for growth. The emphasis on owning "end-to-end design" and shaping a "new product from the ground up" suggests a role with substantial responsibility and autonomy, often a stepping stone to Senior or Lead Designer positions.

Reporting Structure: The designer will likely report to a Design Manager or Head of Product, working collaboratively within a dedicated product team (Super Agent). This structure allows for direct impact on a strategic initiative.

Operations Impact: This role has the potential for immense impact. By designing the core user experience for an AI-powered Insight Agent, the designer will directly influence how customers derive value from YipitData's core asset – its data. Success in this role can lead to significant revenue growth and market differentiation for the company.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI/LLM product design, data visualization, and complex B2B SaaS UX.

• Leadership Potential: Progress to Senior Product Designer or Lead Designer roles, mentoring junior designers and taking ownership of larger product areas or strategic initiatives.

• Cross-Functional Exposure: Gain extensive experience working with Data Science and AI teams, broadening understanding of machine learning applications in product.

• Impactful Projects: Lead design efforts on highly strategic, company-defining products that offer significant visibility and career advancement.

📝 Enhancement Note: The "growth-oriented environment where advancement is driven by impact—not tenure" is a key indicator of career progression opportunities. This role offers a chance to shape a nascent product, which is a significant career growth lever in the product design field.

🌐 Work Environment

Office Type: The role is listed as "Remote-Friendly" and "Fully remote-friendly within the United States," indicating a primary focus on remote work. This suggests a distributed workforce where collaboration tools and asynchronous communication are paramount.

Office Location(s): While the role is remote, the original mention of "New York, NY (Remote-Friendly)" might indicate a headquarters presence or a significant hub for in-person collaboration if desired by some employees, though remote is the primary mode. The "Fully remote-friendly within the United States" confirms geographical flexibility for candidates.

Workspace Context:

• A remote-first or remote-friendly environment necessitates strong digital collaboration tools (e.g., Slack, Zoom, Figma, Miro).

• The workspace will likely be set up to support focused individual work, with virtual channels for team interaction, design critiques, and brainstorming sessions.

• Access to modern design and collaboration software will be standard.

Work Schedule: The company offers "Flexible work hours," which is a significant perk for a remote role. This allows designers to structure their day around peak productivity and personal commitments, while still ensuring availability for key team meetings and collaborative sessions.

📝 Enhancement Note: The emphasis on remote work and flexible hours suggests a mature company that trusts its employees and has invested in the infrastructure to support a distributed team effectively. This environment is ideal for self-motivated individuals who thrive on autonomy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A resume and portfolio review to assess basic qualifications and design craft. Candidates with strong, relevant portfolios will be prioritized.

• Hiring Manager/Design Lead Interview: Discussion about your experience, design philosophy, approach to complex problems, and specific examples from your portfolio. Focus will be on product thinking and AI/data design experience.

• Design Challenge/Case Study Presentation: You may be asked to present a detailed case study from your portfolio or tackle a hypothetical design problem relevant to the Insight Agent. This will assess your process, problem-solving skills, and ability to articulate design rationale.

• Cross-Functional Interviews: Meetings with Product Managers, Engineers, and potentially Data Scientists to evaluate collaboration style, technical understanding, and cultural fit within the Super Agent team.

• Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Highlight AI/Data Experience: Ensure your portfolio prominently features projects involving AI, complex data, B2B SaaS, or analytics platforms. Quantify impact where possible.

• Showcase Process: Clearly articulate your design process for each project – how you identified the problem, conducted research, iterated on solutions, and arrived at the final design.

• Focus on "Why": Be prepared to explain the rationale behind your design decisions. Why did you choose a particular interaction pattern? How did you address user trust concerns?

• Demonstrate Collaboration: Include examples or discuss how you worked with cross-functional teams (PMs, Eng) to bring designs to life.

• Figma Proficiency: Showcase your Figma skills through interactive prototypes or by explaining how you leverage its features for collaboration and design system management.

Challenge Preparation:

• Understand the Product: Research YipitData, its current offerings, and the concept of an "AI-powered Insight Agent." Think about potential user needs and challenges.

• AI & Trust: Consider how to design for user trust in AI-generated results, including explainability, transparency, and error handling.

• Data Visualization: Be ready to discuss how you would represent complex data clearly and effectively.

• Problem-Solving: Practice breaking down complex problems into smaller, manageable design tasks.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also strategic thinking, collaboration abilities, and experience with the specific domain (AI/data). A well-curated portfolio that directly addresses the job requirements is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Explicitly mentioned as a required proficiency for design and prototyping. This will be the central tool for UI design, collaboration, and potentially design system management.

• Prototyping Tools: While Figma is specified, familiarity with other prototyping tools might be beneficial for showcasing different aspects of design work.

Analytics & Reporting:

• While not directly a designer tool, understanding analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) is beneficial for product designers to understand user behavior and inform design iterations.

• Familiarity with data visualization libraries or tools could be advantageous for understanding how data is presented. CRM & Automation:

• Not directly applicable to the Product Designer role, but an awareness of how design integrates into the broader SaaS product ecosystem is valuable.

📝 Enhancement Note: Figma is the core tool specified. Designers should be prepared to showcase their mastery of Figma for UI design, prototyping, and collaboration. Understanding the broader tech stack and how design fits into the product development lifecycle is also important.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: Advancement and recognition are tied to demonstrable impact on the product and business, rather than tenure. This fosters a results-oriented environment.

• Data-Centric: Decisions are informed by data and rigorous analysis, including user behavior data and market insights.

• Entrepreneurial Mindset: Employees are encouraged to think like owners, taking initiative, and driving innovation, especially within new strategic initiatives like the Super Agent.

• Builder's Mentality: A preference for proactive individuals who can move quickly from concept to execution, comfortable with ambiguity and the challenges of building new products.

• Collaboration & Transparency: Working closely with cross-functional teams and maintaining open communication is key, especially in a remote setting.

Collaboration Style:

• Cross-Functional Integration: Expect close partnerships with Product Management, Engineering, and Data Science. Designers will be integral to team discussions and decision-making.

• Agile & Iterative: The team likely works in agile sprints, requiring designers to be adaptable and comfortable with iterative design and development cycles.

• Asynchronous Communication: Given the remote nature, proficiency in asynchronous communication (e.g., detailed Slack messages, clear documentation) will be essential, supplemented by synchronous meetings for critical discussions.

📝 Enhancement Note: The emphasis on "builder's mindset" and "entrepreneurial mindset" suggests a culture that rewards initiative and comfort with uncertainty, particularly relevant for a new, strategic product initiative.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Trust: A primary challenge will be designing an AI-powered experience that users trust, especially when dealing with complex data and potentially sensitive insights. This involves balancing AI capability with user understanding and control.

• Simplifying Complexity: Translating vast amounts of data and sophisticated AI capabilities into an intuitive and accessible user experience will be a significant design challenge.

• Navigating Ambiguity: As a new product initiative, there will be inherent ambiguity. Designers will need to be comfortable defining requirements and solutions with incomplete information.

• Balancing Scalability and Innovation: Ensuring that initial designs are scalable for future growth while also allowing for rapid iteration and experimentation on new AI features.

Learning & Development Opportunities:

• Deep Dive into AI/ML Product Design: Gain hands-on experience at the forefront of AI product development, understanding user interaction paradigms for intelligent agents.

• Mastery of Data-Centric Design: Enhance skills in designing for complex data visualization, analysis, and interpretation.

• Strategic Product Influence: Play a key role in shaping the direction of a major new product initiative, offering significant strategic visibility.

• Mentorship & Leadership: Opportunities to grow into senior or lead design roles, potentially mentoring other designers and influencing design strategy across the company.

📝 Enhancement Note: The challenges are directly linked to the innovative nature of the product. Overcoming these challenges presents significant opportunities for professional growth and skill development in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow for a B2B SaaS product. What were the key challenges, and how did you ensure usability?" (Focus on process, problem-solving, and user-centricity).

• "How would you approach designing an AI-powered feature to build user trust? What elements are crucial for explainability and transparency?" (Focus on AI/data domain knowledge and user psychology).

• "Imagine you need to present complex data insights to a non-technical executive. How would your design approach differ from presenting to an analyst?" (Focus on audience adaptation and data visualization clarity). Company & Culture Questions:

• "What interests you most about YipitData and our new Insight Agent initiative?" (Demonstrate research into the company and its strategic direction).

• "How do you typically collaborate with Product Managers and Engineers on a new product feature?" (Highlight your teamwork and communication skills, especially in an agile, remote setting).

• "Describe a situation where you had to operate with significant ambiguity. How did you define the problem and move forward?" (Showcase your entrepreneurial and builder's mindset). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, the process, key design decisions, challenges, and the final outcome/impact.

• Focus on Impact: Quantify results whenever possible (e.g., increased user engagement, improved task completion time, positive user feedback).

• Explain Your "Why": Be ready to deep-dive into the rationale behind your design choices, especially those related to simplifying complexity or building AI trust.

• Showcase Figma Skills: Briefly demonstrate interactive prototypes or explain how you used Figma for collaboration and design system integration.

• Tailor to the Role: Emphasize aspects of your work that align with AI, data, B2B SaaS, and complex workflows.

📝 Enhancement Note: Preparation should focus on demonstrating not only design craft but also strategic thinking, a deep understanding of the AI/data domain, and strong collaborative abilities. The portfolio presentation is a key opportunity to showcase these skills.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided Greenhouse link.

• Curate Your Portfolio: Ensure your portfolio highlights your most relevant work, specifically emphasizing B2B SaaS, complex workflows, AI/data products, and your proficiency with Figma. Prepare 2-3 in-depth case studies.

• Tailor Your Resume: Optimize your resume with keywords from the job description (e.g., Product Design, UX Design, B2B SaaS, AI Experience Design, Figma, User Research, Product Thinking) and clearly articulate achievements relevant to this role.

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on clear storytelling, explaining your design process, and articulating the impact of your work. Be ready to discuss your approach to designing for AI trust and data complexity.

• Research YipitData: Understand the company's mission, its current product offerings, and the strategic importance of the Super Agent platform. Prepare thoughtful questions for the interviewers.

⚠️ 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.