Product Designer (UX), HCI

📍 Job Overview

Job Title: Product Designer (UX), HCI

Company: Bjak

Location: United States

Job Type: FULL_TIME

Category: Product Design / UX / HCI

Date Posted: 2026-08-22

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

Remote Status: Fully Remote

🚀 Role Summary

• Design innovative user experiences for AI-native applications, focusing on human-AI interaction and workflow automation.

• Develop new interaction models that enable users to understand, guide, and control complex AI systems effectively.

• Collaborate closely with cross-functional teams including Product, Engineering, and Machine Learning to bring concepts to life.

• Craft intuitive interfaces that build user trust and transparency in AI-driven products.

📝 Enhancement Note: This role is specifically for a Product Designer with a strong focus on Human-Computer Interaction (HCI) within the context of AI products. The emphasis is on designing for proactive AI, where the system anticipates needs and assists users with minimal prompting, requiring novel interaction patterns beyond traditional UX.

📈 Primary Responsibilities

• Design end-to-end user experiences for AI product surfaces, from initial concept through to shipped product.

• Create novel interaction patterns for human-AI workflows, encompassing prompting, review, confirmation, correction, handoff, and recovery mechanisms.

• Develop interfaces that clearly communicate AI's current actions, knowledge base, uncertainties, and future steps to the user.

• Translate complex, multi-step AI capabilities into intuitive, controllable, and everyday usable user flows.

• Partner with Product Managers, Engineers, and Machine Learning specialists to define problems, iterate on solutions, and ensure rapid product delivery.

• Produce comprehensive design deliverables including wireframes, user flows, interactive prototypes, and high-fidelity mockups for both web and mobile platforms.

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

• Contribute to the definition and evolution of reusable HCI design patterns and components within the product's design system.

📝 Enhancement Note: The responsibilities highlight a significant emphasis on designing for AI systems, particularly those that operate proactively and across multiple steps. This requires a designer capable of not just UI/UX but also conceptualizing complex interaction paradigms for machine intelligence.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience: 2-5 years of experience as a Product Designer, UX Designer, or in a similar role, with a proven track record of shipping web and/or mobile products.

Required Skills:

• Demonstrated experience as a product designer or UX designer, evidenced by a strong portfolio showcasing work across web or mobile products.

• Advanced skills in interaction design, information hierarchy, and creating functional prototypes.

• High proficiency in design tools such as Figma, enabling rapid iteration and efficient workflow management.

• Ability to conceptualize and simplify complex systems, transforming ambiguous product behaviors into clear and user-friendly experiences.

• Proven experience collaborating effectively with product managers and engineers in fast-paced, agile environments.

• Comfort and aptitude for working with ambiguity and shaping solutions before detailed requirements are fully defined.

• Strong judgment regarding usability, identification of edge cases, and robust failure handling strategies.

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

• Experience designing for AI, machine learning, or complex workflow applications.

• Familiarity with user research methodologies and usability testing techniques.

• Experience contributing to or developing design systems.

• Understanding of HCI principles and their application to AI interfaces.

• Knowledge of front-end development principles to facilitate better collaboration with engineering teams.

📝 Enhancement Note: The requirements emphasize practical experience and a strong portfolio over specific academic credentials, reflecting a focus on demonstrable skills in a fast-paced environment. The "comfort working with ambiguity" and "shaping solutions before requirements are fully defined" points towards a need for a proactive and self-directed designer.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, clearly illustrating your role, process, and impact.

• Feature case studies that demonstrate your ability to design for complex systems and new interaction paradigms, particularly in AI or workflow-heavy products.

• Include examples of wireframes, user flows, prototypes, and final high-fidelity designs.

• Highlight projects where you simplified complex functionality into intuitive user experiences.

• Demonstrate your ability to collaborate effectively with engineering and product teams. Process Documentation:

• Clearly articulate your design process, from problem definition and user research to ideation, prototyping, testing, and iteration.

• For AI-specific projects, explain how you approached understanding the AI's capabilities and limitations to inform design decisions.

• Detail how you incorporated user feedback and usability testing to refine designs and address friction points.

• Showcase how you translated user needs and technical constraints into actionable design solutions.

📝 Enhancement Note: Candidates should prepare to walk through their portfolio, emphasizing the problem-solving aspect of their design process, especially concerning the unique challenges of designing for AI and multi-step workflows. Demonstrating an ability to handle ambiguity and iterate based on feedback will be crucial.

💵 Compensation & Benefits

Salary Range: Based on industry standards for a Mid-Level Product Designer (2-5 years experience) in the United States, a competitive salary range is estimated between $90,000 - $130,000 annually. This range can vary based on specific experience, skills, and the candidate's location within the US.

Benefits:

• Comprehensive health, dental, and vision insurance.

• Generous paid time off (PTO) and holidays.

• Opportunities for professional development and continuous learning.

• Remote work stipend for home office setup.

• Potential for stock options or equity in a growing startup.

• Collaborative and innovative work environment.

Working Hours: Standard full-time position, estimated at 40 hours per week. The remote nature of the role offers flexibility in daily scheduling, provided core collaboration hours are met.

📝 Enhancement Note: Salary is an estimation based on typical US market rates for a mid-level product designer in a fully remote capacity. Specific benefits may vary and should be confirmed with the hiring team. The role's remote flexibility is a key aspect, allowing for adaptable work schedules.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Artificial Intelligence, Software Development. Bjak is at the forefront of developing AI-native applications designed to simplify everyday tasks for a global user base. The company operates within a rapidly evolving sector, focusing on creating proactive AI solutions that are reliable and minimize user effort.

Company Size: Small (less than 50 employees). This indicates a lean, agile, and hands-on team environment where individual contributions have a significant impact.

Founded: The exact founding date is not specified, but the company is positioned as a startup focused on a novel AI application space, suggesting a culture of innovation and rapid development.

Team Structure:

• The design team is likely small, working closely with product managers and a lean engineering team, including ML specialists.

• Reporting structure will likely be flat, with designers reporting to a Head of Product, Design Lead, or a co-founder.

• Cross-functional collaboration is central, with designers acting as key partners in defining product strategy and user experience alongside engineers and product. Methodology:

• Data-driven decision-making, combined with user-centric design principles.

• Emphasis on rapid iteration, experimentation, and learning from user feedback.

• Collective decision-making within the team, balanced with individual ownership and execution.

• Focus on building high-quality, reliable, and "magical" products.

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

📝 Enhancement Note: The company culture is described as "high talent density and hands-on," emphasizing collective decision-making and rapid execution. This suggests a demanding but rewarding environment for individuals who are self-starters and thrive in collaborative, fast-paced settings.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (2-5 years of experience). The focus on HCI and AI interaction design suggests a specialization within the broader UX field, offering a growth path toward Senior or Lead Designer roles, particularly in AI product design.

Reporting Structure: The designer will likely report to a Head of Design or Product Lead, working in close proximity with Product Managers, Engineers, and ML Scientists. This structure facilitates direct impact and learning from experienced professionals across disciplines.

Operations Impact: The designer will have a direct impact on shaping the core user experience of AI products that aim to serve billions globally. Their work will be instrumental in defining how users interact with AI, influencing product adoption, user satisfaction, and the company's success in the AI-native application market.

Growth Opportunities:

• Develop expertise in designing for cutting-edge AI technologies and novel interaction models.

• Opportunity to contribute significantly to a nascent design system and establish best practices for HCI in AI.

• Potential to grow into a Senior or Lead Designer role, taking on more complex projects and mentoring junior team members.

• Exposure to product strategy and decision-making in a startup environment.

• Continuous learning through collaboration with ML experts and product innovators.

📝 Enhancement Note: The growth trajectory for this role is strongly tied to the burgeoning field of AI product design. The opportunity to define new standards and gain specialized expertise makes it an attractive path for ambitious designers.

🌐 Work Environment

Office Type: Fully Remote. This offers maximum flexibility for employees to work from their preferred location within the United States.

Office Location(s): Primarily remote within the United States. While there isn't a physical office specified for this role, the company operates globally with a focus on the US market for this position.

Workspace Context:

• A fully remote setup necessitates strong self-discipline, excellent asynchronous communication skills, and comfort with digital collaboration tools.

• Access to a stable internet connection and a dedicated workspace will be essential for productivity.

• The company provides a remote work stipend to assist with home office setup.

• Opportunities for virtual team-building and collaboration will be key to fostering a connected environment.

Work Schedule: The role is full-time (approximately 40 hours per week). While remote, candidates should be prepared to align with core team meeting times and collaborate effectively across different time zones within the US. Flexibility is available, but responsiveness and consistent engagement are expected.

📝 Enhancement Note: The fully remote nature of the role requires candidates to be proactive in communication and self-management. The company's commitment to a remote stipend indicates support for creating an effective home workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Candidates must submit their application, including a portfolio, through the provided link.

• Initial Screening: Applications and portfolios will be reviewed by team members for a potential fit.

• Round 1 Interview: A virtual meeting to discuss the candidate's background, experience, and initial thoughts on AI design challenges.

• Design Assessment: A practical design exercise or case study to evaluate problem-solving skills, design thinking, and proficiency with design tools.

• Round 2 Interview: Further discussion with team members to assess cultural fit, collaboration style, and deeper dive into design philosophy.

• Decision: Prompt decision based on demonstrated skills, mindset, and cultural alignment.

Portfolio Review Tips:

• Focus on AI & Complexity: Highlight projects that demonstrate your ability to tackle complex problems, especially those involving AI, multi-step workflows, or novel interaction design.

• Showcase Process: Clearly articulate your design process for each project. Explain the problem, your approach, the challenges faced, your solutions, and the outcomes. Use diagrams, user flows, and wireframes to illustrate your thinking.

• Demonstrate HCI Acumen: For AI projects, specifically explain how you considered user trust, control, transparency, and feedback mechanisms.

• Quantify Impact: Where possible, include metrics or results that show the impact of your design decisions.

• Tool Proficiency: Ensure your portfolio reflects proficiency in Figma and other relevant design and prototyping tools.

Challenge Preparation:

• Understand AI Interaction: Familiarize yourself with current trends and challenges in HCI for AI. Think about how users interact with AI assistants, chatbots, and generative AI tools.

• Practice Problem Solving: Be prepared to discuss how you would approach designing for ambiguous problems and new interaction paradigms.

• Articulate Your Process: Practice explaining your design process concisely and effectively, as you will be asked to elaborate on your portfolio projects.

• Consider Edge Cases: Think about potential failure points, user errors, and how to design for graceful recovery and error handling in AI systems.

📝 Enhancement Note: The interview process emphasizes a practical assessment of design skills through a portfolio review and a design challenge. Candidates should tailor their portfolio to showcase relevant AI/HCI experience and be prepared to articulate their thought process.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, UI design, and collaboration. High proficiency is required for fast iteration workflows.

• Prototyping Tools: Figma's built-in prototyping capabilities, or potentially others like Principle or ProtoPie for more advanced interactions.

• User Research Tools: Tools for conducting usability testing and gathering user feedback (e.g., Maze, UserTesting.com, or internal tools).

Analytics & Reporting:

• While not a direct responsibility, understanding how design decisions impact user behavior tracked by analytics tools (e.g., Amplitude, Mixpanel) is beneficial.

• Familiarity with dashboarding tools (e.g., Tableau, Looker) for understanding product performance metrics. CRM & Automation:

• Not directly applicable to the core design role, but understanding how user journeys and product interactions feed into CRM systems (e.g., Salesforce) or marketing automation platforms can provide context.

• Familiarity with tools like Jira or Asana for project management and workflow tracking.

📝 Enhancement Note: Proficiency in Figma is a mandatory requirement. While direct use of CRM or automation tools is not expected, an understanding of how user interactions contribute to broader business metrics is valuable.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to create novel solutions and push the boundaries of AI interaction design.

• User-Centricity: Deep commitment to understanding user needs and building products that genuinely help people.

• Collaboration: Belief in the power of small, high-talent teams working together to achieve ambitious goals.

• Speed & Agility: Ability to move quickly, iterate rapidly, and adapt to evolving requirements and technologies.

• Reliability: Focus on building robust, trustworthy AI systems that minimize errors and hallucinations.

Collaboration Style:

• Highly collaborative, with designers working in lockstep with product managers, engineers, and ML specialists.

• Emphasis on open communication, constructive feedback, and collective decision-making.

• Asynchronous communication is key for remote work, supplemented by synchronous meetings for critical discussions and planning.

• A hands-on approach where everyone contributes directly to product development.

📝 Enhancement Note: The company values a proactive, collaborative, and innovative culture. Designers are expected to be team players who can contribute to strategic discussions and execute independently within a fast-paced startup environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working with AI technology that is still evolving, requiring designers to anticipate future capabilities and user needs without fully defined requirements.

• Building Trust in AI: Creating interfaces that foster user confidence and transparency, especially when AI makes mistakes or operates in complex ways.

• Defining Novel Interactions: Moving beyond traditional UX patterns to create intuitive and effective ways for users to interact with proactive AI systems.

• Balancing Simplicity and Power: Translating sophisticated AI capabilities into interfaces that are simple enough for everyday users but powerful enough to be truly useful.

Learning & Development Opportunities:

• Deep dive into HCI principles specifically applied to Artificial Intelligence.

• Opportunity to shape the future of AI-native applications and establish new design paradigms.

• Exposure to cutting-edge machine learning technologies and product development cycles.

• Potential for growth into leadership roles within a rapidly scaling startup.

• Continuous learning through cross-functional collaboration and challenging projects.

📝 Enhancement Note: The primary challenges revolve around the novelty of designing for AI, requiring adaptability and a forward-thinking approach. The growth opportunities are significant for individuals looking to specialize in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "How would you design an interface for an AI that needs to perform a multi-step task, like planning a complex trip, ensuring the user feels in control?"

• "Describe a time you had to simplify a highly technical or complex system into a user-friendly experience. What was your process?"

• "How do you approach building user trust in an AI system, especially when it might make errors?"

• "What are the key differences in designing for AI versus designing for traditional software applications?"

• "How would you collaborate with ML engineers to understand the capabilities and limitations of an AI model to inform your design decisions?" Company & Culture Questions:

• "What excites you about Bjak's mission to build AI-native applications?"

• "How do you handle working with ambiguity and undefined requirements in a fast-paced environment?"

• "Describe your ideal collaborative relationship with Product Managers and Engineers."

• "How do you approach receiving and giving constructive feedback within a team?" Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the problem you were solving and the user needs you addressed for each project.

• Walk Through Your Process: Use your slides to visually guide the interviewer through your design journey – from research and ideation to iteration and final solution.

• Highlight AI/Complexity: If applicable, specifically call out projects involving AI, complex workflows, or novel interactions, explaining your unique approach.

• Focus on Impact: Where possible, discuss the outcomes of your design. If metrics are available, present them. If not, discuss the qualitative impact and lessons learned.

• Be Prepared for Deep Dives: Anticipate questions about specific design decisions, trade-offs you made, and how you handled challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of HCI principles, particularly in the context of AI, and showcasing a robust, iterative design process. Be ready to discuss your approach to ambiguity and collaboration.

📌 Application Steps

To apply for this Product Designer (UX), HCI position:

• Submit your application and a comprehensive portfolio through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio prominently features projects that demonstrate your skills in interaction design, simplifying complex systems, and ideally, experience with AI or workflow-heavy applications. Tailor your case studies to highlight your process for tackling ambiguity and building user trust.

• Resume Optimization: Update your resume to highlight keywords such as "Product Design," "UX Design," "HCI," "AI Interaction Design," "Figma," "Prototyping," "User Research," and any experience with complex systems or startups. Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process and decision-making for your portfolio projects. Be ready to discuss your approach to HCI for AI and how you handle ambiguity.

• Company Research: Familiarize yourself with Bjak's mission and the broader landscape of AI-native applications to demonstrate genuine interest and understanding.

⚠️ 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.

---