Product Designer (UX), HCI

📍 Job Overview

Job Title: Product Designer (UX), HCI

Company: Bjak

Location: United States (Remote)

Job Type: Full-Time

Category: Product Design / UX / Human-Computer Interaction (HCI)

Date Posted: 2026-08-02

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

Remote Status: Fully Remote

🚀 Role Summary

• Design end-to-end user experiences for AI-native products, focusing on interaction patterns that allow users to guide and control complex AI workflows.

• Create innovative HCI interfaces for human-AI collaboration, emphasizing trust, control, and transparency in AI-driven interactions.

• Collaborate closely with product managers, engineers, and ML teams to translate complex AI capabilities into clear, usable, and reliable user experiences.

• Develop new interaction models for proactive AI products, addressing prompting, review, correction, and recovery mechanisms.

• Produce a range of design artifacts, including wireframes, flows, prototypes, and high-fidelity designs for both web and mobile platforms.

📝 Enhancement Note: The core of this role is defining the future of human-AI interaction. The emphasis on "AI-native" and "proactive smart assistant" suggests a focus on products that go beyond traditional applications, requiring designers to anticipate user needs and build intuitive control mechanisms for advanced AI capabilities. The "minimal prompting" aspect indicates a need for designs that infer user intent and offer proactive assistance.

📈 Primary Responsibilities

• Conceptualize and design user interfaces for AI product surfaces, guiding the entire process from initial ideation through to product launch.

• Develop novel interaction patterns for human-AI workflows, covering critical stages such as prompting, review, confirmation, correction, task handoff, and error recovery.

• Design interfaces that provide users with clear visibility into AI operations, including understanding AI actions, knowledge gaps, uncertainties, and upcoming steps.

• Transform complex, multi-step AI functionalities into intuitive and controllable user flows suitable for everyday use cases.

• Partner effectively with product management, engineering, and machine learning (ML) teams to collaboratively define problems, iterate on solutions, and ensure rapid product delivery.

• Create detailed design documentation, including wireframes, user flows, interactive prototypes, and high-fidelity mockups for both web and mobile applications.

• Conduct lightweight user research and usability testing sessions to identify user friction points, trust issues, and potential failure modes within AI interactions.

• Contribute to the development of a reusable Human-Computer Interaction (HCI) design pattern library as the product and design system mature.

📝 Enhancement Note: The responsibilities highlight a significant need for proactive design thinking, especially in areas like error recovery and transparency for AI. The emphasis on "complex, multi-step AI capabilities" suggests that the designer will be working with sophisticated backend intelligence and needs to translate that into a user-friendly frontend experience.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a background in Design, Human-Computer Interaction (HCI), Computer Science with a design focus, or a related field is strongly implied. Practical experience and a robust portfolio will likely outweigh formal educational requirements.

Experience: Approximately 2-5 years of experience as a Product Designer or UX Designer.

Required Skills:

• Proven experience in product design or UX design, with a portfolio showcasing successful web or mobile product implementations.

• Strong command of interaction design principles, information hierarchy, and prototyping techniques.

• High proficiency in Figma and experience with rapid iteration workflows.

• Demonstrated ability to simplify complex systems and translate ambiguous product behaviors into clear, user-centric experiences.

• Experience collaborating closely with product managers and engineers within fast-paced team environments.

• Comfort working with ambiguity and defining solutions where requirements are not yet fully established.

• Excellent judgment regarding usability, edge case handling, and failure management within user interfaces.

• Clear understanding and articulation of concepts related to trust, control, feedback mechanisms, and transparency in AI-driven user experiences. Preferred Skills:

• Experience designing for AI-powered products or complex algorithmic systems.

• Familiarity with user research methodologies and usability testing best practices.

• Knowledge of design system principles and their application.

• Experience working on proactive or assistant-style applications.

• Understanding of Machine Learning (ML) concepts and their implications for UX.

📝 Enhancement Note: The "Comfort working with ambiguity and shaping solutions before requirements are fully defined" and "Ability to simplify complex systems" are critical for this role, indicating that the ideal candidate can navigate uncharted territory in AI product design. The specific mention of Figma points to a primary toolset for design execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design projects across web and mobile platforms.

• Case studies that clearly articulate design challenges, your process, and the resulting user experience solutions.

• Demonstrations of interaction design for complex systems or AI-driven features.

• Examples of wireframes, user flows, interactive prototypes, and high-fidelity designs.

• Evidence of collaboration with engineering and product teams. Process Documentation:

• Case studies should detail your approach to understanding user needs and translating them into tangible product designs.

• Showcase your methodology for simplifying complex AI functionalities into intuitive user flows.

• Highlight your process for conducting user research and usability testing to iterate on designs.

• Demonstrate how you ensure clarity, control, and trust in AI-user interactions through your design process.

📝 Enhancement Note: Given the role's focus on AI and complex systems, the portfolio should ideally include projects that demonstrate an ability to design for AI interactions, even if not explicitly labeled as such. The emphasis on "simplifying complex systems" and "turning unclear product behavior into clear user experiences" should be a central theme in portfolio case studies.

💵 Compensation & Benefits

Salary Range: For a remote Product Designer (UX) with 2-5 years of experience in the United States, a competitive salary range would typically fall between $100,000 - $150,000 annually. This estimate is based on industry benchmarks for mid-level UX/Product Designers in the US tech sector, considering the company's focus on AI and its remote-first approach. Factors such as specific location within the US (cost of living), the candidate's exact experience, and the depth of their portfolio can influence the final offer.

Benefits:

• Comprehensive health, dental, and vision insurance.

• Generous paid time off (PTO) and holidays.

• Stock options or equity in a growing AI startup.

• Professional development budget for conferences, courses, and learning resources.

• Home office stipend for remote work setup.

• Opportunities for significant impact and growth within a fast-paced AI company.

Working Hours: The role is Full-Time, with an expected commitment of approximately 40 hours per week. Given the remote nature and focus on rapid iteration, flexibility in working hours may be available, but core collaboration hours will likely be established to facilitate teamwork across different time zones within the US.

📝 Enhancement Note: The salary range is an estimate based on typical US tech industry compensation for a mid-level Product Designer. The benefits are inferred based on common offerings for full-time roles in remote-first tech companies, especially those in the AI space aiming to attract top talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Artificial Intelligence (AI) and Software Development. Bjak is developing AI-native applications to enhance everyday user tasks, aiming to bring intelligence to conversations, errands, organizing, and workflows.

Company Size: The description "small, world class teams" and "high talent density" suggests a lean, agile organization, likely in the startup phase or early growth stage, possibly with 10-50 employees. This environment fosters rapid decision-making and direct impact.

Founded: The founding date is not specified, but the focus on AI and building new interaction models implies a relatively modern company, likely established within the last 5-10 years to be at the forefront of AI product development.

Team Structure:

• The design team is likely small and highly collaborative, working closely with product and engineering.

• Reporting structure is expected to be flat, with direct access to leadership.

• Cross-functional collaboration is paramount, with designers embedded within product squads or working directly with ML engineers and product managers. Methodology:

• Data-driven decision-making, leveraging user research and product analytics.

• Agile development methodologies for rapid iteration and shipping.

• Emphasis on user-centric design, with a focus on solving real-world problems through AI.

• Collective decision-making with a bias for action and independent execution.

Company Website: https://bjak.my/en/about-us

📝 Enhancement Note: The company culture appears to be fast-paced, high-performance, and focused on innovation. The emphasis on "high talent density" and "small, world class teams" suggests an environment where individual contributions are highly valued and expected to be of top quality.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer, typically requiring 2-5 years of experience. The responsibilities suggest a significant degree of autonomy and the opportunity to shape core product direction, particularly in the nascent field of AI interaction design.

Reporting Structure: The designer will likely report to a Head of Product, Lead Designer, or directly to a founder, given the company's described size and structure. Close collaboration with Product Managers and Engineering Leads is expected.

Operations Impact: The designer's work will directly influence how users interact with and perceive AI technology. Success in this role means defining intuitive and trustworthy AI experiences, which is critical for user adoption and the company's mission to bring practical AI benefits to billions. This involves shaping the core product offering and user value proposition.

Growth Opportunities:

• Specialization: Deepen expertise in Human-AI Interaction (HAI) design, becoming a go-to specialist in this emerging field.

• Leadership: Opportunity to grow into a Senior or Lead Product Designer role as the company scales, potentially mentoring junior designers and influencing design strategy.

• Product Influence: Play a key role in defining the product roadmap and strategic direction for AI-native applications.

• Skill Development: Gain experience with cutting-edge AI technologies and contribute to the establishment of new design patterns and best practices for AI interfaces.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI design. The growth path is less about climbing a traditional ladder and more about developing deep expertise in a rapidly evolving domain, with potential for significant influence on product strategy and company direction.

🌐 Work Environment

Office Type: Fully Remote. The company operates with a remote-first philosophy, indicated by "TELECOMMUTE" and "Remote Solely" classifications.

Office Location(s): While the job is posted as being in the United States, the remote nature means candidates can be located anywhere within the US. Specific office locations are not relevant for this role, but team members may be spread across various US time zones.

Workspace Context:

• A fully remote work environment necessitates strong self-discipline, communication skills, and the ability to manage one's own schedule effectively.

• Access to collaboration tools (e.g., Slack, Zoom, Figma) is crucial for seamless teamwork.

• The company's focus on "high talent density" suggests a culture of high-performing individuals who can work autonomously and productively from their home offices.

• Opportunities for virtual team-building and social interactions will likely be provided to foster connection.

Work Schedule: Full-time, approximately 40 hours per week. While remote, candidates should be prepared to align with core team working hours for effective collaboration, likely within US time zones. Some flexibility may be offered.

📝 Enhancement Note: The remote environment requires a high degree of self-motivation and strong communication practices. Candidates should be comfortable with asynchronous communication and proactive engagement.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit your resume and a strong portfolio. The portfolio is critical for this role and should highlight relevant UX/Product Design work, especially for complex or AI-related projects.

• Initial Screening: A brief call or review to assess basic qualifications and alignment with the role.

• Round 1 Interview: Likely with a hiring manager or senior designer to discuss your experience, approach to design, and understanding of HCI/AI concepts.

• Round 2 Interview: May involve a deeper dive into your portfolio, discussion of past projects, and potentially a collaborative design exercise.

• Design Assessment: A practical exercise designed to evaluate your skills in problem-solving, interaction design, and translating complex requirements into user flows. This may be a take-home assignment or a live working session.

• Final Interview: Potentially with founders or key stakeholders to assess cultural fit, strategic thinking, and overall alignment with the company's vision.

Portfolio Review Tips:

• Highlight AI/Complex Systems: Showcase projects where you designed for complex logic, AI, or systems with non-obvious behaviors. Emphasize how you brought clarity and control.

• Focus on Process: Clearly articulate your design process, from problem definition and research to iteration and final design. Use case studies to tell a story.

• Demonstrate Interaction Design: Provide examples of detailed interaction flows, micro-interactions, and how you considered user control and feedback.

• Showcase Ambiguity Handling: If possible, include projects where you started with minimal requirements and helped define the problem and solution.

• Quantify Impact: Where possible, use metrics or user feedback to demonstrate the impact of your design solutions.

Challenge Preparation:

• Understand AI Interaction Challenges: Be prepared to discuss the unique challenges of designing for AI (e.g., trust, transparency, control, error handling, prompt engineering interfaces).

• Practice Simplifying Complexity: Be ready to walk through how you would simplify a complex AI workflow into an intuitive user experience.

• Figma Proficiency: Be ready to demonstrate your skills in Figma, potentially during a live design session.

• Research Bjak: Understand their mission and product goals to tailor your responses and show genuine interest.

📝 Enhancement Note: The interview process heavily emphasizes the portfolio and practical design skills, particularly in the context of AI. The design assessment is a key component, so candidates should prepare thoroughly for this.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Explicitly mentioned as a required proficiency for design creation and rapid iteration. This will be the primary tool for wireframing, prototyping, and high-fidelity design.

• Prototyping Tools: While Figma has robust prototyping capabilities, familiarity with other tools like InVision or Principle might be beneficial for specific use cases.

• User Research Tools: Tools like UserTesting.com, Maze, Lookback, or even simple survey tools (e.g., Typeform, Google Forms) for conducting lightweight user research and usability tests.

Analytics & Reporting:

• Product Analytics Platforms: Familiarity with tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior and measure the impact of design changes.

• Data Visualization Tools: While not directly a designer's tool, understanding how data is presented in dashboards (e.g., Tableau, Looker) can inform design decisions.

CRM & Automation:

• Not directly relevant to the Product Designer role, but awareness of how user data flows through systems like CRMs might be helpful for context.

📝 Enhancement Note: Figma is the non-negotiable design tool. Beyond that, the focus is on tools that support rapid iteration, user feedback, and understanding user behavior within the product.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to create novel solutions and push the boundaries of what's possible with AI.

• Excellence: Commitment to high-quality work and delivering exceptional user experiences.

• Collaboration: Working effectively in small, cross-functional teams to achieve shared goals.

• Speed & Agility: Moving quickly, iterating rapidly, and adapting to new information.

• User-Centricity: Deep focus on understanding and solving user problems with AI.

• Transparency & Trust: Building AI systems and interfaces that users can understand and rely on.

Collaboration Style:

• Hands-on and Direct: Expect direct communication and active participation from all team members.

• Collective Decision-Making: Ideas are shared and debated openly, with decisions made collectively to ensure buy-in.

• Independent Execution: While collaboration is key, individuals are expected to take ownership and execute independently on their tasks.

• Feedback-Oriented: A culture that encourages constructive feedback to drive continuous improvement in both product and processes.

📝 Enhancement Note: The values emphasize a high-performance culture focused on innovation and user impact, within a collaborative and agile framework. This is typical of successful tech startups.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining New Interaction Paradigms: The primary challenge is designing for a relatively new and evolving domain – AI-native applications. This requires creating entirely new interaction models rather than adapting existing ones.

• Building Trust in AI: Users may have inherent skepticism or fear regarding AI. Designing interfaces that foster trust, transparency, and a sense of control is crucial.

• Managing Ambiguity: Working in a fast-paced startup environment with evolving AI capabilities means requirements will often be unclear or change rapidly.

• Balancing Complexity and Simplicity: Making sophisticated AI functionalities accessible and easy to use for everyday users.

• Ensuring Reliability: Designing for AI systems that can be non-deterministic requires robust error handling and recovery mechanisms.

Learning & Development Opportunities:

• Mastering Human-AI Interaction: Gaining deep expertise in a cutting-edge field with significant future potential.

• Contributing to Design Systems: Helping to define and build reusable HCI patterns for AI products.

• Cross-Functional Skill Building: Working closely with ML engineers and product managers to gain a deeper understanding of AI technology and product strategy.

• Impactful Product Development: Directly contributing to a product that aims to bring significant benefits to billions of users.

• Startup Growth Experience: Learning to navigate the dynamics of a fast-growing technology company.

📝 Enhancement Note: The challenges are inherent to working on pioneering AI products. The growth opportunities are significant for individuals who thrive in innovative, fast-paced environments and are eager to shape the future of human-computer interaction.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a complex system with ambiguous requirements. How did you approach it, and what was the outcome?" (Focus on your process for handling ambiguity and simplifying complexity).

• "How would you design an interface that helps users understand what an AI is doing, especially when it's performing a multi-step task?" (Focus on transparency, feedback, and control).

• "Imagine a user is trying to complete a complex task using an AI assistant, and the AI makes a mistake. How would you design the UI to allow the user to recover and correct the AI?" (Focus on error handling, recovery, and user control).

• "What are the key principles for building trust between a user and an AI system?" (Focus on transparency, predictability, and user agency). Company & Culture Questions:

• "Why are you interested in designing for AI-native products specifically at Bjak?" (Research Bjak's mission and show alignment).

• "How do you approach collaboration with engineers and product managers, especially in a fast-paced, remote environment?" (Highlight your communication and teamwork skills).

• "What does 'high talent density' mean to you, and how do you contribute to such an environment?" (Focus on your drive for excellence and proactive contribution). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, your process, the challenges you faced, your design solutions, and the impact of your work.

• Focus on Interaction: For AI-related projects, emphasize the interaction design, user flows, and how you ensured user control and understanding.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, final designs) effectively. If possible, include interactive prototypes.

• Be Prepared for Deep Dives: Anticipate questions about your design decisions, trade-offs, and the rationale behind them.

• Highlight Ambiguity Handling: Explicitly call out instances where you had to define requirements or navigate uncertainty.

📝 Enhancement Note: Preparation should focus on demonstrating an understanding of the unique challenges of AI UX and showcasing a strong, adaptable design process. The portfolio presentation is a critical opportunity to demonstrate these skills.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on AshbyHQ.

• Tailor your Resume: Highlight experience in Product Design, UX, HCI, and any work with AI, complex systems, or mobile/web applications. Quantify achievements where possible.

• Curate Your Portfolio: Ensure it prominently features your best work, with detailed case studies that showcase your process for problem-solving, interaction design, and handling complexity. Emphasize projects related to AI or similar challenging domains if available.

• Prepare for the Design Assessment: Familiarize yourself with common HCI challenges in AI and practice rapid prototyping and problem-solving exercises.

• Research Bjak: Understand their mission to build AI-native applications and their focus on user experience. Prepare to articulate why you are a good fit for their culture and 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.

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