Agentic Product Designer — UX/UI for Adversarial Adjudication

📍 Job Overview

Job Title: Agentic Product Designer — UX/UI for Adversarial Adjudication

Company: The Apex Project

Location: [Remote, with mandatory monthly in-person summits in rotating global cities (Nassau, NYC, London/Europe)]

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: April 14, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid (Monthly In-Person Summits)

🚀 Role Summary

• Architect and design the comprehensive user experience for a novel adversarial adjudication platform, focusing on clarity and trust in dispute resolution.

• Translate intricate procedural workflows and legalistic frameworks into seamless, intuitive digital interactions using AI-native tools and agentic workflows.

• Establish a premium, high-trust visual language that reflects the institutional gravity and independence of the platform.

• Develop and maintain a robust, scalable design system to ensure product consistency and accelerate development velocity.

• Drive user research and usability testing to iterate on designs, solving real-world friction points and optimizing user journeys.

📝 Enhancement Note: While this role is primarily Product Design/UX/UI, the emphasis on "truth infrastructure," "adversarial adjudication," and "AI-native" suggests a strong overlap with operational excellence in data integrity, process automation, and system logic. This role demands a designer who can not only create user-friendly interfaces but also understand and design for complex, rule-based systems that underpin the platform's core function. The "Agentic" aspect implies a need for designing workflows that leverage AI as active participants or agents within the adjudication process, requiring a deep understanding of how AI can execute tasks and interact with users.

📈 Primary Responsibilities

• Design the end-to-end user experience for Objection’s adversarial adjudication platform, covering the entire user journey from claim submission through tribunal output.

• Transform complex procedural workflows and legalistic frameworks into seamless, frictionless digital interactions, effectively minimizing cognitive load for users.

• Establish and maintain a premium, high-trust visual language and design aesthetic that aligns with the institutional gravity and credibility of the platform.

• Develop, document, and maintain a robust, scalable design system to ensure product consistency, enhance usability, and accelerate development velocity across the platform.

• Conduct rigorous user research, including interviews, surveys, and usability testing, to gather insights, validate design decisions, and iterate on solutions to address user friction points.

• Partner closely with engineering and product management teams to ensure design fidelity, technical feasibility, and successful implementation of designs from prototype to production.

• Embed inclusive design principles and accessibility standards into the core of the product, ensuring the platform is universally accessible, equitable, and user-friendly for all participants.

• Leverage AI-native design tools and agentic workflows to increase design output, accelerate iteration cycles, and systematize design operations for greater efficiency.

📝 Enhancement Note: The responsibility to "Leverage AI-native design tools and agentic workflows" signifies a forward-thinking approach to design operations. Candidates are expected to not only use AI for design tasks but also to design with AI as a core component of the user experience, especially within the "adversarial adjudication" context. This implies designing for AI-driven fact-checking, evidence analysis, and participant rating systems, requiring a blend of UX expertise and an understanding of AI capabilities in complex decision-making processes.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating a deep understanding of UX/UI principles, interaction design, and visual design is paramount. Experience in fields with complex procedural logic or high-trust environments is highly valued.

Experience: Professional product design experience with a proven track record of designing, architecting, and shipping complex, data-rich, or process-heavy digital products from concept to completion.

Required Skills:

• Deep empathy for users, coupled with the ability to translate complex systems into clear, intuitive user interfaces.

• Precision in UI craft, approaching visual design with both technical rigor and artistic sensibility.

• Systems thinking: ability to design for scalability, anticipate edge cases, and ensure procedural integrity beyond the "happy path."

• Fluency with AI-native design tools and a proactive bias towards automating and systematizing design workflows.

• Proven ability to work autonomously in a distributed, asynchronous environment, with strong written communication skills for clear output.

• Experience collaborating effectively with engineering teams to ensure design fidelity during implementation.

• Strong commitment to accessibility (WCAG compliance) and inclusive design principles.

• Expertise in user research methodologies and usability testing to inform design iterations.

• Proficiency in establishing and managing design systems for consistency and efficiency.

Preferred Skills:

• Background in legal, fintech, govtech, or other high-trust, process-heavy domains.

• Experience designing for dispute resolution, fact-checking, or complex argumentation platforms.

• Familiarity with ELO rating systems or similar participant-ranking methodologies.

• Understanding of AI-assisted evidentiary analysis or AI-driven adjudication processes.

• Experience with collaborative design platforms and version control for design assets.

• Familiarity with agile development methodologies within a product team context.

📝 Enhancement Note: The emphasis on "AI-native design tools and agentic workflows" suggests that candidates with explicit experience in tools that integrate AI for generative design, content creation, or workflow automation will be highly favored. This goes beyond simply using AI for image generation; it implies designing systems where AI agents can perform tasks, analyze data, or even participate in the adjudication process, requiring a nuanced understanding of human-AI interaction design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design projects, demonstrating the ability to take a product from initial problem framing through to shipped design.

• At least one detailed case study is required, illustrating your thought process, design methodology, and how you addressed complex challenges.

• Explicitly highlight how AI tools and agentic workflows were integrated into your design process, detailing the benefits and outcomes.

• Showcase examples of designing for complex systems, data-rich environments, or process-heavy applications where clarity and procedural integrity were critical.

• Include examples of established or maintained design systems, demonstrating their impact on consistency and development velocity.

Process Documentation:

• Case studies should clearly articulate the problem statement, user research findings, design decisions, and rationale behind them.

• Detail the iterative process, including user testing feedback and how it influenced design changes.

• Showcase the visual design execution, including UI elements, typography, color palettes, and overall aesthetic coherence.

• For AI-integrated projects, explain the AI's role, the data inputs, and the output design considerations.

• Provide evidence of collaboration with engineering and product teams, highlighting how design specifications were translated into production-ready assets.

📝 Enhancement Note: The requirement to "show us how you use AI tools in your design workflow" is critical. This means portfolios should not just present the final product but critically, the process of creation, with specific examples of AI's role in research, ideation, prototyping, or iteration. This could involve AI-assisted content generation, user journey mapping, or even AI-powered design system components. Demonstrating the impact of AI on efficiency and output will be key.

💵 Compensation & Benefits

Salary Range: $75,000 – $125,000 annually, depending on seniority and demonstrated experience.

Benefits:

• Meaningful equity grants, offering ownership and participation in the company's success.

• Annual performance bonus, recognizing individual contributions and company achievements.

• All travel expenses for mandatory monthly in-person summits are covered.

• Hotel accommodation is provided during these global summits.

• Opportunity to work on a groundbreaking platform at the intersection of AI, law, and dispute resolution.

• Experience a unique, globally distributed work model with intentional in-person alignment periods.

Working Hours: Approximately 40 hours per week, with a focus on deep, asynchronous work during remote periods. The company operates on GMT when remote, requiring flexibility for communication and collaboration within this timezone.

📝 Enhancement Note: The salary range provided is for a Product Designer role in the US market. For global positions, especially those with significant remote components, it's important to consider market rates for similar roles in regions where the company might draw talent or where summits are held (e.g., NYC, London). The specified range is competitive for mid-senior level design roles in tech. The hybrid model with mandatory in-person summits adds a unique value proposition that may offset some standard remote work benefits.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on AI, Legal Tech, Dispute Resolution, and Truth Infrastructure. The company is building a platform for structured dispute resolution that is AI-native and operates at "civilizational scale."

Company Size: The description implies a lean, agile startup environment. While exact numbers aren't provided, the emphasis on "deep work," "architectural debates," and "strategic decisions" suggests a team that values focused collaboration and high-impact contributions. The "deliberate cadence" of three weeks remote and one week in-person points to a structured but flexible operational model.

Founded: The Apex Project is a relatively new venture, focused on building foundational "truth infrastructure." The company's mission is to create a platform for structured dispute resolution using adversarial fact-checking, AI-assisted analysis, and transparent methodologies.

Team Structure:

• The team is designed for high-impact, focused work, operating asynchronously for three weeks of the month and in-person for one week for intensive alignment and strategic planning.

• Roles are likely specialized, with close collaboration expected between design, engineering, product management, and potentially domain experts in law or adjudication.

Methodology:

• Data-Driven Adjudication: The platform is built on the principle of "adversarial fact-checking" with ELO-rated participants and AI-assisted evidentiary analysis, suggesting a strong reliance on data integrity, measurable outcomes, and algorithmic fairness.

• AI-Native Development: The company is committed to building with AI from the ground up, integrating AI tools into design workflows and the core product functionality.

• Structured Collaboration: A hybrid model of asynchronous deep work and intensive in-person summits ensures both focused individual contribution and robust strategic alignment.

• Location Strategy: Deliberate rotation of in-person summits to cities based on seasonality and strategic tempo (Nassau for strategy, NYC for commercial tempo, Europe for institutional engagement) indicates a thoughtful approach to team cohesion and business objectives.

Company Website: https://www.theapexproject.co/

📝 Enhancement Note: The company's operational model is highly distinctive, blending cutting-edge AI development with a unique hybrid work structure. The emphasis on "adversarial adjudication" and "truth infrastructure" suggests a culture that values rigorous debate, intellectual honesty, and a commitment to building reliable systems. The location strategy is not just about remote work but about leveraging different environments for specific strategic purposes, which is a significant cultural differentiator.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior to Senior Product Designer, indicated by the "Agentic Product Designer" title and the 5-10 year experience target. The responsibilities involve significant autonomy, architectural input into the product's core UX, and leadership in establishing design systems and methodologies. The opportunity to "design the environment in which truth is adjudicated" signifies a role with substantial impact and responsibility, going beyond typical UX tasks.

Reporting Structure: While not explicitly stated, a Product Designer at this level typically reports to a Head of Product, VP of Design, or a Lead Product Designer. They will work closely with Product Managers and Engineering Leads, forming a core product development triad. The emphasis on autonomous work suggests a culture that empowers individuals within their functional areas, with clear reporting lines for strategic alignment and performance management.

Operations Impact: The Product Designer's impact is central to the success of Objection's platform. By translating complex adjudication processes into intuitive user experiences, this role directly influences user adoption, trust, and the platform's ability to function at scale. The design will be the primary interface for users engaging with a system designed to establish truth, making the UX a critical component of the product's credibility and effectiveness. The integration of AI tools and agentic workflows will also shape how operational efficiency is achieved within the design process itself.

Growth Opportunities:

• Deep Specialization: Develop expertise in designing for complex, AI-driven, high-stakes decision-making systems, a niche and rapidly growing field.

• Leadership in Design Systems: Lead the evolution and expansion of a critical design system, influencing product consistency and development speed.

• AI-in-Design Exploration: Become a pioneer in leveraging and designing with AI-native tools and agentic workflows, shaping the future of design operations.

• Strategic Product Influence: Contribute significantly to product strategy and architectural decisions, given the core nature of UX to the platform's success.

• Cross-Functional Mastery: Gain deep experience collaborating with engineering, product management, and potentially legal/domain experts in a fast-paced startup environment.

📝 Enhancement Note: The "Agentic" aspect of this role suggests a unique growth path. Beyond traditional UX/UI career progression, this designer will develop expertise in human-AI interaction design, specifically within a context of automated decision-making and dispute resolution. This specialized skill set will be highly valuable as AI continues to integrate into more complex professional workflows.

🌐 Work Environment

Office Type: The company operates on a hybrid model. Three weeks of the month are fully distributed and asynchronous, allowing for deep, focused work from anywhere. One week per month is a mandatory in-person summit in a rotating global city. This model blends the flexibility of remote work with the collaborative intensity of in-person interaction.

Office Location(s): The in-person summits rotate quarterly to cities chosen for their seasonal appeal and strategic relevance: Nassau (winter), New York City (spring and autumn), and London/Europe (summer). This provides a unique opportunity to experience diverse professional and cultural environments.

Workspace Context:

• Distributed Work: When remote, the environment is asynchronous, emphasizing structured written communication and self-directed work. The team operates on GMT time during these periods, requiring candidates to be comfortable with this timezone.

• In-Person Summits: These are intensive, collaborative periods focused on alignment, architectural debates, and strategic decision-making. They are designed to foster strong team cohesion and drive key initiatives forward.

• Tools & Technology: Expect a modern tech stack, particularly AI-native design tools and platforms for collaboration and project management, essential for an asynchronous, distributed team.

Work Schedule: The standard working hours are approximately 40 hours per week. The structure is intentionally divided: three weeks of flexible, asynchronous work, followed by one week of concentrated, in-person collaboration. This requires individuals who can manage their time effectively and adapt to different working cadences.

📝 Enhancement Note: The unique hybrid model with rotating global summits is a significant aspect of the work environment. It's crucial for candidates to understand the implications of operating on GMT during remote weeks and to be prepared for the intensity and collaborative nature of the in-person summit weeks. This arrangement is designed to maximize both individual focus and collective strategic alignment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and portfolio link, with a specific focus on case studies demonstrating complex problem-solving and AI tool integration.

• Portfolio Deep Dive: A session with a hiring manager or design lead to walk through selected portfolio case studies. Expect detailed questions about your design process, decision-making, user research, and the impact of AI in your workflow.

• Design Challenge/Case Study: Candidates may be asked to complete a take-home design challenge or present a more in-depth analysis of a provided scenario, focusing on translating complex processes into UX solutions.

• Team/Cross-Functional Interviews: Meetings with engineering and product management to assess collaboration style, technical understanding, and cultural fit within a distributed team.

• Final Round: Discussion with senior leadership, potentially focusing on strategic thinking, long-term vision, and alignment with the company's mission.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate, with examples, how you've used AI tools to enhance your design process, from research and ideation to prototyping and iteration. Quantify the impact on efficiency or output where possible.

• Showcase Process Over Polish: Focus on demonstrating your problem-solving methodology, user research insights, iterative design process, and rationale behind decisions. The "how" is more important than just the "what."

• Demonstrate Systems Thinking: Provide examples of how you've designed for scalability, edge cases, and complex procedural logic, rather than just the "happy path."

• Structure for Clarity: Organize your case studies logically, with clear problem statements, user needs, design solutions, and outcomes. Use visuals effectively to support your narrative.

• Address the "Agentic" Aspect: If possible, include projects that touch upon designing for AI-driven interactions or systems where AI plays an active role.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with concepts of adversarial adjudication, dispute resolution, and the potential applications of AI in these areas.

• Process Mapping: Be ready to map out complex workflows and identify user pain points and opportunities for simplification or automation.

• AI-Driven Solutions: Consider how AI could be leveraged to solve problems within the challenge scenario, both in the user experience and in the underlying operational processes.

• Communication: Practice articulating your design rationale clearly and concisely, especially for asynchronous or written communication.

📝 Enhancement Note: The emphasis on "Agentic" design and AI tools means candidates should be prepared to discuss not just using AI but designing for AI. This includes understanding prompt engineering for design outputs, designing user interfaces that interact with AI agents, and considering the ethical implications of AI in decision-making processes.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), possibly specialized AI-powered design platforms (e.g., tools for generative design, AI-assisted wireframing, or content generation).

• Design Systems: Tools for design system management and documentation (e.g., Zeroheight, Storybook integration, or internal documentation platforms).

• User Research & Testing: Tools for user interviews, surveys, usability testing platforms (e.g., UserTesting.com, Lookback), and analytics platforms.

• Collaboration & Communication: Slack, Notion, Asana, Jira, or similar platforms for asynchronous team communication, project management, and documentation.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, Google Analytics, or Pendo for tracking user behavior, feature adoption, and conversion rates.

• Data Visualization: Tools for creating dashboards and reports (e.g., Tableau, Looker, Power BI) to communicate insights to stakeholders.

CRM & Automation:

• While not a direct responsibility, familiarity with CRM systems (e.g., Salesforce, HubSpot) and marketing/sales automation tools may be beneficial for understanding the broader business context and user journeys.

• Integration Tools: Understanding how different software systems connect and exchange data is valuable for designing integrated user experiences.

📝 Enhancement Note: The job explicitly mentions "AI-native design tools and agentic workflows" as a core requirement. This suggests the company is likely using or developing cutting-edge tools that go beyond traditional design software. Candidates should be prepared to discuss their experience with AI assistants for design, generative design tools, or platforms that enable AI agents to participate in creative or analytical processes.

👥 Team Culture & Values

Operations Values:

• Truth & Integrity: A core value, reflected in the mission to build "truth infrastructure" for adversarial adjudication. This implies a commitment to accuracy, transparency, and fairness in all aspects of the product and operations.

• Rigor & Precision: The nature of adjudication and AI-native development demands meticulous attention to detail, logical consistency, and a commitment to robust processes.

• Innovation & AI-First: A forward-thinking approach to technology, with a strong emphasis on leveraging AI to solve complex problems and enhance operational efficiency.

• Autonomy & Accountability: The distributed nature of the work fosters a culture where individuals are empowered to take ownership of their tasks and are held accountable for their contributions.

• Intentional Collaboration: While operating asynchronously for much of the time, the company values high-impact, focused in-person collaboration for strategic alignment and team building.

Collaboration Style:

• Asynchronous Communication: Emphasis on clear, structured written communication (e.g., detailed documentation, well-crafted messages) to facilitate effective collaboration across time zones and work styles.

• Deep Work Focus: The three-week remote cycle is designed to allow for uninterrupted periods of focused individual contribution.

• Intensive In-Person Alignment: The monthly summits are crucial for deep dives, architectural discussions, and strategic decision-making, fostering strong team cohesion and shared understanding.

• Cross-Functional Synergy: Close partnership between design, engineering, and product management is essential for translating complex requirements into a functional, user-friendly product.

📝 Enhancement Note: The company's values are deeply intertwined with its mission and operational model. The emphasis on "truth," "adversarial adjudication," and "AI-native" development suggests a culture that is intellectually demanding, data-driven, and committed to building highly reliable systems. The blend of asynchronous and synchronous collaboration requires strong self-management and communication skills.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate procedural workflows and legalistic frameworks into intuitive and user-friendly experiences presents a significant design challenge.

• Building Trust in AI: Creating a platform that adjudicates truth requires users to trust both the process and the AI components, necessitating a design that instills confidence and transparency.

• AI Integration in Design: Effectively leveraging and integrating AI-native design tools and agentic workflows into a mature design process requires continuous learning and adaptation.

• Distributed Team Dynamics: Maintaining strong team cohesion, effective communication, and consistent collaboration across different time zones and work styles requires deliberate effort.

• Balancing Asynchronous and Synchronous Work: Managing productivity and collaboration effectively across distinct work cadences (deep work vs. intensive summits).

Learning & Development Opportunities:

• Specialized AI Design: Gain deep expertise in designing human-AI interactions within complex decision-making systems.

• Adversarial Systems Design: Develop a unique skill set in designing for processes that involve structured conflict and truth-seeking.

• Global Collaboration: Hone skills in effective communication and collaboration within a globally distributed team.

• Design System Leadership: Opportunity to significantly shape and lead the development of a critical design system for a novel product.

• Industry Exposure: Participate in unique in-person summits in diverse global locations, offering exposure to different business environments and cultures.

📝 Enhancement Note: The primary growth opportunity lies in becoming a specialist in a highly novel and future-oriented field: designing AI-native systems for complex, high-stakes decision-making. This role offers a chance to be at the forefront of how AI will be integrated into professional workflows, particularly in areas requiring accuracy, fairness, and transparency.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex, rule-based system or process into a simple, intuitive user experience. How did you approach it, and what AI tools did you leverage?" (Focus on process mapping, user flow design, and AI integration.)

• "How would you approach designing for trust in a platform that uses AI for adversarial adjudication? What design principles would guide your work?" (Focus on transparency, explainability, and user confidence.)

Company & Culture Questions:

• "What interests you most about The Apex Project's mission to build 'truth infrastructure' through adversarial adjudication?" (Demonstrate understanding of the company's vision and values.)

• "How do you see AI-native tools changing the future of product design, and how would you integrate them into our workflow?" (Focus on forward-thinking, proactive adoption of AI.)

Portfolio Presentation Strategy:

• Structure your narrative: For each case study, clearly articulate the problem, your approach, the AI tools used, your design decisions, and the measurable outcomes.

• Emphasize the 'Why': Explain the rationale behind your design choices, especially how they address the complexity of adversarial adjudication and build user trust.

• Showcase AI's Role: Dedicate specific slides or sections to demonstrating how AI tools enhanced your workflow, improved efficiency, or led to better design outcomes. Be ready to explain the technical and creative aspects of this integration.

• Interactive Elements: Be prepared to discuss interactive prototypes and how you would conduct usability testing for a platform with such unique user interactions.

• Ask Insightful Questions: Prepare questions about the company's AI strategy, design challenges, team collaboration, and the future vision for the platform.

📝 Enhancement Note: Candidates should be prepared to discuss their understanding of "agentic" systems and how they would design user interfaces for AI that acts as a participant or facilitator in adjudication. This requires thinking beyond traditional UI design to encompass interaction design with intelligent agents.

📌 Application Steps

To apply for this Agentic Product Designer position:

• Submit your CV and a link to your portfolio through the provided application portal.

• Portfolio Customization: Ensure your portfolio prominently features case studies that demonstrate your experience with complex, data-rich, or process-heavy products. Crucially, include specific examples and detailed explanations of how you've utilized AI-native design tools and agentic workflows to enhance your design process and outcomes.

• Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "UX/UI," "AI-native design," "systems thinking," "adversarial adjudication," "design systems," and "distributed team collaboration." Quantify achievements where possible, particularly those related to efficiency gains or improved user experiences resulting from your designs.

• Interview Preparation: Practice articulating your design process, your approach to complex problems, and your experience with AI tools. Be ready to discuss your portfolio case studies in depth, focusing on your methodology and the impact of your work. Prepare thoughtful questions to demonstrate your engagement and strategic thinking.

• Company Research: Thoroughly research The Apex Project, its mission regarding "truth infrastructure," and its unique hybrid work model. Understand the concept of adversarial adjudication and its potential applications. This will help you align your responses with the company's vision and culture.

⚠️ 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.