UX Designer, AI App
📍 Job Overview
Job Title: UX Designer, AI App
Company: Bjak
Location: New York, New York, United States
Job Type: Full-Time
Category: Product Design / UX/UI
Date Posted: August 02, 2026
Experience Level: Mid-Level (2-5 years)
Remote Status: Hybrid (with remote options)
🚀 Role Summary
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Owns the end-to-end User Experience (UX) design for a cutting-edge AI application, focusing on mobile (iOS/Android) and web platforms.
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Designs intuitive user flows for complex AI-assisted tasks, ensuring clarity, reliability, and user control throughout the process.
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Collaborates closely with Product, Engineering, and Machine Learning teams to translate user needs and AI system capabilities into tangible design solutions.
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Conducts user research and usability testing to identify pain points and iteratively improve the AI-driven product experience.
📝 Enhancement Note: The role emphasizes Human-Computer Interaction (HCI) principles applied to AI, requiring a deep understanding of both user psychology and AI system behavior. The "Hybrid" work arrangement suggests a mix of in-office collaboration and remote flexibility, typical for fostering team cohesion while offering work-life balance.
📈 Primary Responsibilities
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Spearhead the UX design strategy for Bjak's core AI application across iOS, Android, and web interfaces.
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Develop comprehensive user flows that guide users from initial intent capture through AI-driven task completion, including progress tracking, user feedback loops, and effective error recovery mechanisms.
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Design clear and informative interfaces that surface the AI's current actions, decision-making processes, and necessary user inputs or confirmations.
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Map and design the full spectrum of AI states a user might encounter, such as loading, processing, waiting, completing, stalling, failing, and recovering, ensuring a consistent and predictable user journey.
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Collaborate with cross-functional teams (Product, Engineering, ML) to define user requirements, gather technical constraints, and translate them into actionable design specifications.
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Execute user research methodologies, including usability testing and user interviews, to gather insights on user trust, uncertainty, and engagement with AI features.
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Produce detailed wireframes, user flows, interactive prototypes, and high-fidelity designs that provide clear direction for development teams.
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Contribute to the evolution and maintenance of the design system and shared UX patterns specifically for AI-driven application surfaces.
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Design user experiences that seamlessly integrate simple, everyday interactions with complex, multi-step AI workflows within a single product.
📝 Enhancement Note: The responsibilities highlight a focus on designing for "non-deterministic" and "context-dependent" AI systems, which is a critical challenge in AI UX. This implies a need for robust design patterns around managing uncertainty and providing graceful failure states.
🎓 Skills & Qualifications
Education: Bachelor's degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field, or equivalent practical experience.
Experience: 2-5 years of experience as a UX designer, with a proven track record on consumer-facing mobile or web applications.
Required Skills:
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Demonstrated expertise in user flow design, wireframing, and high-fidelity prototyping using tools like Figma.
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Strong understanding and practical application of Human-Computer Interaction (HCI) principles in product design.
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Ability to design for complex systems characterized by asynchronous operations, non-determinism, and context dependency.
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Clear thinking and practical design solutions for user trust, control, feedback, and transparency in AI-driven product experiences.
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Proficiency in conducting user research, usability testing, and synthesizing findings into actionable design improvements.
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Experience working effectively within fast-paced, agile teams with evolving product scopes.
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A strong portfolio showcasing a range of consumer mobile or web app UX design projects, with a focus on AI applications or complex system interactions.
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Excellent judgment regarding usability, edge cases, failure handling, and recovery flows for intricate user journeys. Preferred Skills:
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Experience designing for AI-native applications or products with significant machine learning components.
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Familiarity with design systems and experience contributing to or maintaining them.
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Understanding of the capabilities and limitations of modern AI models.
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Experience with cross-functional collaboration, particularly with engineering and product management teams.
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Knowledge of accessibility standards and best practices in UX design.
📝 Enhancement Note: The "2-5 years" experience level suggests this role is ideal for a mid-level designer looking to take on significant ownership. The emphasis on Figma, user research, and AI-specific design challenges indicates a need for a designer who is both technically proficient and strategically minded.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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A robust portfolio showcasing end-to-end UX design process for consumer mobile or web applications.
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Demonstrate clear examples of user flow design, wireframing, and high-fidelity prototyping, ideally using Figma.
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Include case studies that highlight your approach to solving complex user problems, particularly those involving AI or asynchronous systems.
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Showcase your ability to translate user research findings into concrete design decisions and improved user experiences.
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Provide evidence of your understanding of user trust, control, and feedback mechanisms within digital products. Process Documentation:
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Case studies should detail your process for mapping AI states and designing robust error recovery flows.
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Illustrate how you collaborated with engineering and ML teams to define requirements and deliver designs.
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Show examples of how you've contributed to or utilized design systems for consistency and efficiency.
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Demonstrate your approach to balancing the simplicity of consumer UX with the complexity of AI system behavior.
📝 Enhancement Note: The emphasis on a portfolio for a design role is standard, but the specific mention of AI states, non-deterministic systems, and error recovery points to a need for candidates who can articulate their design thinking around managing uncertainty and building trust in complex, intelligent applications.
💵 Compensation & Benefits
Salary Range: Based on the New York City location, mid-level UX Designer roles typically range from $110,000 to $150,000 annually. This estimate is derived from industry benchmarks for similar roles in major tech hubs, considering the company's focus on AI and its startup nature.
Benefits:
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Comprehensive health, dental, and vision insurance plans.
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Stock options or equity in a growing AI startup.
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Generous paid time off (PTO) and holidays.
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Professional development budget for conferences, courses, and learning resources.
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Flexible work arrangements, including hybrid options.
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Opportunities for career advancement and skill development in a rapidly evolving field.
Working Hours: Standard full-time working hours are approximately 40 hours per week, with flexibility often provided to accommodate project deadlines and individual work styles within a hybrid model.
📝 Enhancement Note: While specific benefits were not detailed, typical startup offerings in tech hubs like New York include competitive salary, equity, comprehensive health coverage, and professional development opportunities. The estimated salary range is based on industry data for a UX Designer with 2-5 years of experience in New York City.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology / Artificial Intelligence / Consumer Applications. Bjak is positioning itself to disrupt the market for everyday applications by integrating AI, aiming to significantly reduce task completion time for users.
Company Size: Small, high-talent density team. This suggests a lean, agile, and hands-on environment where individual contributions have a significant impact.
Founded: The company's founding date is not specified, but its mission to build AI-native applications for billions of users indicates a forward-thinking, ambitious startup.
Team Structure:
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The core team is described as small and "world-class," emphasizing high talent density and a collaborative, collective decision-making approach.
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Reporting lines are likely flat, with a strong emphasis on individual ownership and execution.
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Cross-functional collaboration is central, with designers working closely with product managers, engineers, and machine learning specialists. Methodology:
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Decisions are made collectively, but execution is rapid and independent, balancing high-quality work with continuous learning.
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The team prioritizes shipping high-quality, "magical" products that provide practical benefits.
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A data-driven approach is implied through the focus on user research and measuring task completion time reduction.
Company Website: https://bjak.my/en/about-us
📝 Enhancement Note: The company culture is characterized by speed, high performance, and a collective drive to innovate. For a UX Designer, this means being comfortable with ambiguity, taking initiative, and contributing to a fast-paced product development cycle. The focus on "minimal prompting" and "proactive smart assistant" suggests a design philosophy centered on user autonomy and intelligent automation.
📈 Career & Growth Analysis
Operations Career Level: This role is positioned as a Mid-Level UX Designer, specifically focused on AI applications. It offers significant ownership of core product experiences, moving beyond execution to strategic design input.
Reporting Structure: The designer will likely report to a Head of Product, Design Lead, or a similar senior role, working closely within a cross-functional product team.
Operations Impact: The UX Designer will directly influence the usability, adoption, and perceived value of a core AI product. Their work will be critical in making AI features accessible and beneficial to a broad user base, impacting user retention, task efficiency metrics, and overall product success.
Growth Opportunities:
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Specialization in AI UX: Deepen expertise in designing for complex AI systems, a highly in-demand skill set.
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Product Ownership: Grow into a lead design role, taking on more responsibility for product strategy and user experience vision.
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Design System Development: Contribute significantly to building and scaling a design system for an AI product.
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Leadership Potential: As the company grows, opportunities for managing design teams or mentoring junior designers may emerge.
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Industry Impact: Be part of a team aiming to redefine everyday applications with AI, offering a chance to shape a significant market shift.
📝 Enhancement Note: This role offers a strong growth trajectory for a UX designer passionate about AI. The opportunity to shape the user experience of a novel AI application from its early stages provides a unique chance to build a specialized skill set and have a substantial impact on the product's success.
🌐 Work Environment
Office Type: Hybrid work environment, allowing for a blend of in-office collaboration and remote work. This suggests a modern approach to workplace flexibility.
Office Location(s): Primarily based in New York, New York, United States, with potential for some remote engagement. The specific office setup is not detailed but is likely designed to foster collaboration and innovation.
Workspace Context:
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The workspace is expected to be collaborative, encouraging interaction between designers, engineers, product managers, and ML specialists.
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Access to relevant design tools and technologies, including Figma and potentially other prototyping or research platforms, will be provided.
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Opportunities for direct engagement with team members to discuss design challenges, brainstorm solutions, and receive feedback are integral to the workflow.
Work Schedule: While a standard 40-hour work week is implied, the fast-paced startup environment may require occasional flexibility to meet project deadlines. The hybrid model is designed to support work-life balance while ensuring team synergy.
📝 Enhancement Note: The hybrid model in a major tech hub like New York indicates a competitive and modern work environment. Designers can expect a dynamic setting that values both independent work and collaborative problem-solving, with a focus on leveraging technology to enhance productivity.
📄 Application & Portfolio Review Process
Interview Process:
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Application Submission: Candidates must submit their application, including a strong portfolio, via the provided link.
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Initial Screening: Applications and portfolios will be reviewed by team members for a potential fit.
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Round 1 Interview: Typically a virtual meeting focusing on UX fundamentals, design philosophy, and initial assessment of experience and cultural fit.
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Design Assessment: A practical exercise, likely a take-home challenge or a live design critique, to evaluate design skills, problem-solving abilities, and approach to AI-specific challenges.
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Round 2 Interview: A deeper dive into the candidate's portfolio, discussion of past projects, and how they align with Bjak's vision for AI applications. This may involve meeting with broader team members.
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Final Decision: Prompt decisions are expected, with offers extended to exceptional candidates. Interviews may be conducted virtually or onsite.
Portfolio Review Tips:
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Showcase AI/Complexity: Highlight projects that demonstrate your ability to design for complex, non-deterministic, or AI-driven systems. Clearly articulate the challenges and your design solutions.
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Detail Your Process: For each case study, clearly outline your design process: problem definition, user research, ideation, wireframing, prototyping, testing, and iteration.
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Figma Proficiency: Ensure your portfolio prominently features work created in Figma, as it's a required tool.
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Focus on Impact: Quantify the impact of your designs where possible (e.g., improved task completion time, increased user trust, reduced error rates).
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AI State Mapping: Include examples of how you've thought about and designed for various AI states (loading, thinking, acting, failing, recovering).
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Clarity and Conciseness: Present your work clearly and concisely, making it easy for reviewers to understand your contributions and design thinking.
Challenge Preparation:
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Be prepared to discuss your design decisions thoroughly, explaining the "why" behind your choices.
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Practice articulating your thought process for handling ambiguity and user trust in AI interactions.
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Familiarize yourself with common HCI principles and their application to AI interfaces.
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Research Bjak's mission and product vision to align your responses with their goals.
📝 Enhancement Note: The interview process emphasizes a portfolio review and a design assessment, which are standard for UX roles. The specific mention of AI states and non-deterministic systems indicates that candidates should prepare to discuss how they handle uncertainty and build user confidence in AI-powered products.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: Essential for wireframing, prototyping, and high-fidelity design. Proficiency is a core requirement.
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Prototyping Tools: Beyond Figma, experience with other advanced prototyping tools may be beneficial for complex interactions.
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User Research Platforms: Tools for conducting usability testing, surveys, and interviews (e.g., UserTesting.com, Maze, SurveyMonkey).
Analytics & Reporting:
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Familiarity with product analytics tools (e.g., Mixpanel, Amplitude, Google Analytics) to understand user behavior and measure the impact of design changes.
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Ability to interpret data to inform design decisions and identify areas for improvement. CRM & Automation:
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While not a direct CRM role, understanding how user data is managed and how automation impacts user experience is valuable.
📝 Enhancement Note: Figma is explicitly called out as a required tool, underscoring its importance for this role. Familiarity with user research platforms and product analytics tools will also be crucial for iterating on designs and demonstrating their impact.
👥 Team Culture & Values
Operations Values:
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Innovation & AI Focus: A strong drive to push the boundaries of AI applications and create "magical" user experiences.
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High Talent Density & Execution: A commitment to attracting and working with top talent who can execute independently and at a rapid pace.
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User-Centricity: A deep understanding of user needs and a commitment to reducing task completion time and enhancing user enjoyment.
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Transparency & Efficiency: Open communication and a streamlined decision-making process to ensure rapid progress.
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Collaboration: Working collectively to achieve shared goals, with a strong emphasis on cross-functional teamwork.
Collaboration Style:
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Hands-on and Collective: Team members are expected to be highly involved and contribute actively, with decisions made collaboratively.
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Agile and Iterative: Embracing a fast-moving environment that balances shipping quality work with continuous learning and adaptation.
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Cross-functional Integration: Seamless collaboration between Design, Product, Engineering, and ML teams is fundamental to success.
📝 Enhancement Note: The company values a high-performance culture where individuals are empowered to take initiative and collaborate effectively. For a UX designer, this means being proactive, communicative, and comfortable working in a dynamic, innovation-driven environment.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for AI Uncertainty: Creating intuitive and trustworthy user experiences for systems that are inherently non-deterministic and can sometimes fail or behave unexpectedly.
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Balancing Simplicity and Complexity: Designing a single application that caters to both simple, everyday tasks and complex, multi-step AI workflows without overwhelming the user.
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Rapid Iteration: Working in a fast-paced startup environment that requires quick design cycles and adaptability to evolving product scope.
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Establishing Trust: Building user confidence in an AI assistant that handles important daily tasks and conversations.
Learning & Development Opportunities:
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Specialized AI UX Expertise: Gain deep experience in a rapidly growing and highly sought-after field of design.
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Product Strategy Input: Opportunity to influence the core product strategy and vision from a user experience perspective.
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Cross-functional Skill Development: Learn from and collaborate with experts in ML, engineering, and product management.
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Industry Conferences & Training: Potential to attend relevant design and AI conferences or pursue specialized training.
📝 Enhancement Note: The primary challenge lies in the novelty of designing for AI-native applications. The growth opportunities are significant, offering a chance to become a leader in a cutting-edge field and shape the future of everyday AI tools.
💡 Interview Preparation
Strategy Questions:
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"How would you design the user experience for an AI that helps users manage their daily errands, considering that it might misunderstand requests or need to interact with multiple external services?" (Focus on error handling, progress tracking, user control).
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"Describe a time you had to design for a system that was asynchronous or non-deterministic. What challenges did you face, and how did you address them?" (Highlight your process for managing uncertainty).
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"How do you approach building user trust in an AI product, especially when it's performing complex tasks on the user's behalf?" (Discuss transparency, feedback, control mechanisms).
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"Imagine our AI assistant gets stuck on a complex workflow. What design patterns would you implement to help the user understand what's happening and how to proceed?" (Focus on diagnostics, recovery options, user agency). Company & Culture Questions:
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"Why are you interested in designing for AI applications, and specifically for Bjak's mission?" (Align your passion with their goals).
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"How do you handle feedback on your designs, especially in a fast-paced, collaborative environment?" (Demonstrate adaptability and openness).
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"Describe your experience working with engineers and ML teams. How do you ensure effective communication and collaboration?" (Highlight cross-functional collaboration skills). Portfolio Presentation Strategy:
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Structure: Organize your presentation logically, starting with the problem statement, your role, your process, key design decisions, and the final outcome/impact.
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AI Focus: For relevant case studies, explicitly call out how you addressed AI-specific challenges (e.g., managing AI states, providing feedback, ensuring control).
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Figma Examples: Be ready to walk through some of your Figma files or prototypes to demonstrate your skills and thought process in detail.
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Metrics & Impact: If possible, present quantitative data that shows the positive impact of your design solutions.
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Q&A Readiness: Anticipate questions about your design choices, trade-offs made, and alternative solutions considered.
📝 Enhancement Note: Interview preparation should focus on demonstrating not just UX skills but also a deep understanding of the unique challenges and opportunities presented by AI product design. Be ready to articulate your process for building trust and managing uncertainty in AI interactions.
📌 Application Steps
To apply for this UX Designer position:
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Submit your application through the provided Ashby link, ensuring your resume and portfolio are up-to-date and easily accessible.
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Portfolio Customization: Tailor your portfolio to highlight your strongest consumer mobile/web app projects, with a specific emphasis on any experience with AI, complex systems, or user trust/control challenges. Clearly articulate your design process and impact for each case study.
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Resume Optimization: Ensure your resume clearly states your years of experience, proficiency in Figma, and any relevant experience with HCI, AI product design, or user research. Use keywords from the job description.
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Interview Preparation: Practice articulating your design philosophy, your approach to AI UX challenges, and your experiences with cross-functional collaboration. Prepare to discuss specific case studies from your portfolio in detail.
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Company Research: Familiarize yourself with Bjak's mission, product vision, and the broader landscape of AI-native applications to demonstrate genuine interest and alignment with their goals.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have experience as a UX designer on consumer mobile or web apps with a strong portfolio demonstrating proficiency in Figma. You should be comfortable designing for complex, non-deterministic AI systems and possess strong skills in user flow design and research.