Product Designer (UX)
📍 Job Overview
Job Title: Product Designer (UX)
Company: Bjak
Location: Beijing, China
Job Type: Full-Time
Category: Product Design / User Experience
Date Posted: March 1, 2026
Experience Level: Mid-Level (2-5 years)
Remote Status: On-site (with potential for virtual interviews)
🚀 Role Summary
-
Spearhead end-to-end UX/UI design for innovative AI product surfaces, driving user engagement and trust.
-
Develop intuitive core user flows that translate complex AI capabilities into simple, natural interactions.
-
Collaborate closely with cross-functional teams, including Product, Engineering, and Machine Learning (ML), to iterate and deliver high-quality user experiences.
-
Craft comprehensive design artifacts such as wireframes, user flows, prototypes, and high-fidelity UI for both web and mobile platforms.
-
Drive innovation through rapid prototyping and iteration on novel interaction models, particularly for AI-driven products.
📝 Enhancement Note: While the role is listed as Product Designer (UX), the description emphasizes a strong need for UI design skills and the creation of high-fidelity mockups and prototypes. The "end-to-end design" aspect suggests a Product Designer title is appropriate, encompassing both strategic UX thinking and detailed UI execution.
📈 Primary Responsibilities
-
Lead the complete design lifecycle for specific AI product features or surfaces, from initial concept exploration and user research to final implementation and post-launch iteration.
-
Design and optimize core user journeys and interaction models that make advanced AI functionalities accessible and easy for users to adopt.
-
Actively participate in product strategy discussions, providing design perspectives to influence product direction and roadmap.
-
Create detailed wireframes, user flow diagrams, interactive prototypes, and polished high-fidelity UI designs for both web and mobile applications.
-
Conduct user research, including usability testing and feedback synthesis, to inform design decisions and validate product hypotheses.
-
Contribute to the development and maintenance of a scalable design system, ensuring consistency and efficiency across product surfaces.
-
Collaborate with ML engineers and data scientists to understand AI capabilities and limitations, translating them into user-centric features.
-
Advocate for user needs and best practices in design, balancing user experience goals with business objectives and technical feasibility.
📝 Enhancement Note: The responsibilities highlight a "zero-to-one" product development environment, demanding a proactive and ownership-driven approach from the designer. This goes beyond typical feature design and implies a significant role in shaping the foundational user experience of a new AI product.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a strong portfolio demonstrating practical application of design principles is paramount. Candidates with degrees in HCI, Design, Computer Science, or related fields may have a foundational advantage.
Experience: 2-5 years of proven experience in Product Design, UX Design, or a closely related role, with a portfolio showcasing end-to-end design projects for web and mobile applications.
Required Skills:
-
Portfolio: A robust portfolio demonstrating a strong track record in designing user-centered web and mobile products.
-
Design Tools: Advanced proficiency in Figma and other rapid prototyping tools (e.g., ProtoPie, Adobe XD).
-
Design Principles: Deep understanding of interaction design principles, information architecture, visual hierarchy, layout, and UI patterns.
-
User Flows & Wireframing: Expertise in creating clear and concise user flows, wireframes, and prototypes to communicate design concepts.
-
High-Fidelity UI Design: Ability to produce polished, high-fidelity visual designs that align with brand identity and user needs.
-
Cross-functional Collaboration: Proven experience working effectively with product managers, engineers, and ML specialists in fast-paced, agile environments.
-
Problem Simplification: Demonstrated ability to distill complex problems and technical constraints into intuitive and elegant user experiences.
-
Ownership & Initiative: Willingness to take full ownership of design problems from initial definition through to successful implementation.
Preferred Skills:
-
AI/ML Product Design: Prior experience designing products powered by Artificial Intelligence, Machine Learning, or handling large datasets.
-
Research & Testing: Familiarity with user research methodologies, including usability testing, user interviews, and qualitative data analysis.
-
Early-Stage/Startup Experience: Experience working in early-stage companies or on "zero-to-one" product initiatives.
-
Design Systems: Experience contributing to or managing design systems for scalability and consistency.
-
Emerging UX Patterns: Interest and familiarity with new UX patterns for AI, automation, and intelligent systems.
📝 Enhancement Note: The "Nice to have" section strongly suggests that candidates with experience in AI/ML products or early-stage ventures will have a significant advantage. This indicates the company is looking for someone who can hit the ground running with a deep understanding of these specific domains.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
-
End-to-End Case Studies: Showcase 2-3 detailed case studies that illustrate your entire design process from problem identification, user research, ideation, prototyping, UI design, to final shipped product and iteration.
-
AI/Complex Problem Focus: Prioritize case studies that demonstrate your ability to design for complex systems, AI-driven features, or novel interaction models. Highlight how you simplified intricate workflows.
-
UX/UI Balance: Ensure your portfolio clearly presents both strategic UX thinking (user flows, problem-solving) and high-quality UI execution (visual design, interaction details).
-
Collaboration Evidence: Include examples or descriptions of how you collaborated with engineering, product, and other stakeholders throughout the design process.
-
Tool Proficiency: Explicitly mention and showcase work done using Figma and rapid prototyping tools.
Process Documentation:
-
Design Frameworks: Be prepared to discuss the design frameworks, methodologies, and processes you typically follow for product design projects.
-
Iteration & Feedback: Demonstrate how you incorporate user feedback and iterate on designs based on testing and stakeholder input.
-
Design System Contribution: If applicable, showcase contributions to or usage of design systems, highlighting how they facilitated efficient and consistent design.
📝 Enhancement Note: Given the emphasis on "end-to-end design" and "zero-to-one" products, the portfolio should not just be a gallery of final screens. It must tell a story of how the designer approached a problem, the rationale behind their decisions, and the impact of their work, especially in the context of AI or complex systems.
💵 Compensation & Benefits
Salary Range: Given the location (Beijing, China), experience level (2-5 years), and the highly specialized nature of AI product design, a competitive salary range can be estimated. For a mid-level Product Designer in Beijing with this expertise, a range of ¥250,000 - ¥450,000 CNY annually is plausible. This estimate is based on general market data for tech roles in major Chinese cities, considering the demand for AI-related skills.
Benefits:
-
Full-time Employment: Standard full-time benefits package.
-
Equity/Stock Options: Potentially offered, especially in an early-stage startup environment, reflecting the high-ownership role.
-
Health Insurance: Comprehensive health coverage.
-
Professional Development: Opportunities for learning and growth, including potential for attending industry conferences or workshops.
-
Collaborative Environment: Working within a small, highly motivated, and flat organization focused on excellence.
Working Hours: Approximately 40 hours per week, aligning with full-time employment standards. However, the role's nature in an early-stage company may require flexibility and dedication beyond standard hours during critical project phases.
📝 Enhancement Note: Salary is estimated based on industry benchmarks for UX/Product Designers in Beijing, China, with adjustments for the AI focus and early-stage company context. Benefits are inferred from typical startup offerings and the emphasis on "engineering and product excellence."
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology, Artificial Intelligence, Software Development. Bjak is developing a proactive AI system, positioning itself at the forefront of AI innovation.
Company Size: Small (likely under 50 employees, given the description of a "very flat" and "small" team). This implies a highly collaborative and hands-on environment.
Founded: The founding date is not specified, but the description suggests an early-stage company focused on building a core AI product from the ground up.
Team Structure:
-
Flat Hierarchy: The organization is described as "very flat," meaning fewer management layers and more direct communication between team members.
-
Cross-functional Teams: Close collaboration is expected between Product Design, Product Management, Engineering, and ML teams.
-
Hands-on Approach: All team members are expected to be "hands-on" and contribute directly to the company's mission, indicating a culture of active participation and shared responsibility.
-
Focus on Excellence: The team is "highly motivated, and focused on engineering and product excellence."
Methodology:
-
Agile/Iterative Development: Implied by the need to "ship quickly," "rapidly prototype and iterate," and "move fast."
-
Data-Driven Decisions: While not explicitly stated for design, the AI focus suggests an underlying importance of data in product development. User insights from testing will also drive design decisions.
-
User-Centricity: A strong emphasis on understanding and serving user needs, even within a complex AI product.
Company Website: https://bjak.my/en/about-us
📝 Enhancement Note: The company culture is characterized by a lean, agile, and collaborative environment. The "flat" structure and "hands-on" expectation mean that individuals will likely have significant autonomy and impact, but also need to be comfortable with ambiguity and rapid change, common in early-stage tech companies.
📈 Career & Growth Analysis
Operations Career Level: This role is positioned as a Mid-Level Product Designer (2-5 years of experience), with significant potential for growth into a Senior or Lead Designer role. The "early, high-ownership role" suggests that successful candidates can quickly gain substantial experience and influence.
Reporting Structure: The flat organizational structure implies direct reporting to a Head of Product, CTO, or a very senior Product Lead. The designer will work closely with peers in engineering and ML.
Operations Impact: The designer's work will have a direct and profound impact on the core user experience of a novel AI product. Decisions made will shape how users discover value, interact with AI, and build trust, directly influencing product adoption, user satisfaction, and ultimately, the company's success.
Growth Opportunities:
-
Product Leadership: Opportunity to grow into a Senior Product Designer role, taking on more complex features, mentoring junior designers, and contributing more significantly to product strategy.
-
Specialization in AI UX: Deepen expertise in designing for AI and ML, a highly sought-after skill set in the current tech landscape.
-
Foundational Team Member: As an early hire, there's potential for significant career growth and impact as the company scales.
-
Cross-functional Skill Development: Gain hands-on experience working alongside top engineering and ML talent, broadening technical understanding.
📝 Enhancement Note: The "zero-to-one" nature of the product means this role offers a unique opportunity for rapid skill development and career acceleration, particularly in the cutting-edge field of AI UX Design.
🌐 Work Environment
Office Type: The job is listed as "TELECOMMUTE" but derived as "On-site" with the location being Beijing, China. The interview process mentions "virtual meetings and/or onsite." This suggests the primary work arrangement is on-site in Beijing, but interviews can be conducted remotely.
Office Location(s): Beijing, China. Specific office details are not provided, but it's implied to be a modern tech office environment conducive to collaboration.
Workspace Context:
-
Collaborative Hub: Expect a dynamic workspace designed for close collaboration with engineering, product, and ML teams.
-
Technology-Rich: Access to necessary design tools (Figma), potentially high-performance workstations, and a supportive tech infrastructure.
-
Innovation Focus: The environment will likely foster creativity, experimentation, and a rapid pace of development, typical of AI startups.
Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected. However, the startup environment may necessitate flexibility and dedication, especially during critical development sprints or product launches.
📝 Enhancement Note: The "TELECOMMUTE" vs. "On-site" discrepancy suggests that while the role is primarily based in Beijing, there might be flexibility for remote interviews or occasional remote work, but the core expectation is on-site presence.
📄 Application & Portfolio Review Process
Interview Process:
-
Initial Screening: A brief review of applications and portfolios to assess initial fit.
-
Technical Interviews (3-4 total):
- Portfolio Review & Design Discussion: A deep dive into your portfolio, focusing on your process, decision-making, and problem-solving skills. Expect to walk through 1-2 key case studies.
- Design Challenge/Exercise: You may be given a small design problem to solve, either live or as a take-home assignment, to assess your practical skills and approach.
- Cross-functional Collaboration Discussion: Assess your ability to work with engineers, product managers, and ML specialists, discussing past collaborations and conflict resolution.
- Culture & Motivation Fit: Questions to understand your interest in AI, early-stage companies, and how you align with Bjak's flat, hands-on culture.
-
Prompt Decision: The company aims for transparency and efficiency, promising a prompt decision after interviews.
Portfolio Review Tips:
-
Tell a Story: For each case study, clearly articulate the problem, your role, your process, the challenges, your solutions, and the outcomes/impact.
-
Show, Don't Just Tell: Use visuals (wireframes, user flows, mockups, prototypes) to illustrate your points.
-
Highlight AI/Complexity: Emphasize any experience or understanding of designing for AI, complex systems, or novel interaction models.
-
Focus on Process: Detail your thought process, rationale for design decisions, and how you used research and feedback.
-
Be Prepared for Figma: Have your Figma files ready for screen sharing or be prepared to discuss your workflow within the tool.
-
Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user engagement).
Challenge Preparation:
-
Understand the AI Context: If given a challenge, consider how AI could potentially play a role, even if not explicitly stated.
-
Focus on User Needs: Ground your solutions in user problems and needs, even within technical constraints.
-
Sketch Rapidly: Be ready to sketch out ideas quickly and explain your reasoning.
-
Consider Edge Cases: Think about how your design would handle different scenarios and user inputs.
📝 Enhancement Note: The interview process emphasizes practical skills, collaborative ability, and cultural fit. A strong, well-documented portfolio that showcases relevant experience and a clear design process is crucial for success.
🛠 Tools & Technology Stack
Primary Tools:
-
Figma: The core design tool for wireframing, UI design, prototyping, and collaboration. Essential proficiency required.
-
Rapid Prototyping Tools: Proficiency in tools like ProtoPie, Principle, or similar for creating interactive prototypes to test complex interactions.
-
Design System Tools: Experience with tools or methodologies for building and maintaining design systems.
Analytics & Reporting:
CRM & Automation:
Other Potential Tools:
-
User Research Platforms: Tools for conducting usability testing or user interviews (e.g., UserTesting.com, Lookback).
-
Project Management Tools: Familiarity with tools like Jira, Asana, or Trello for tracking design tasks and collaborating with engineering.
📝 Enhancement Note: Proficiency in Figma is non-negotiable. Experience with other prototyping tools and an understanding of design system principles are highly valued. Familiarity with analytics tools will help the designer make data-informed decisions.
👥 Team Culture & Values
Operations Values:
-
Product Excellence: A strong commitment to building high-quality, well-crafted products.
-
User Focus: Deep empathy for users and a dedication to creating intuitive, valuable experiences.
-
Innovation & Curiosity: A drive to explore new technologies, especially AI, and push the boundaries of user experience.
-
Collaboration & Ownership: A culture where team members work together closely and take personal responsibility for their contributions and project outcomes.
-
Speed & Agility: The ability to move quickly, iterate, and adapt to changing requirements and market dynamics.
Collaboration Style:
-
Direct & Transparent: Given the flat structure, communication is likely direct, open, and honest.
-
Cross-functional Partnership: Design works hand-in-hand with Product, Engineering, and ML, fostering a collaborative problem-solving approach.
-
Feedback-Oriented: A culture that encourages giving and receiving constructive feedback to improve designs and processes.
-
Hands-on Contribution: Team members are expected to actively participate and contribute, rather than just delegate or manage.
📝 Enhancement Note: The culture emphasizes a high-performance environment where individuals are empowered, collaborate closely, and are driven by a shared mission to build innovative AI products.
⚡ Challenges & Growth Opportunities
Challenges:
-
Designing for AI Ambiguity: Translating complex, evolving AI capabilities into predictable and trustworthy user experiences.
-
Zero-to-One Product Development: Building a product and user base from scratch, requiring significant foresight and adaptability.
-
Balancing Innovation with Usability: Ensuring cutting-edge AI features are accessible and intuitive for a broad user base.
-
Rapid Iteration Cycles: Working in a fast-paced environment that demands quick turnarounds and continuous adaptation.
-
Defining Design Systems: Establishing and scaling a design system in an early-stage product.
Learning & Development Opportunities:
-
AI UX Specialization: Gaining deep expertise in a rapidly growing and high-demand field.
-
Product Strategy Influence: Playing a key role in shaping the direction of a new AI product.
-
Startup Environment Experience: Learning how to build and scale products in a lean, agile setting.
-
Mentorship: Potential to learn from experienced engineers and product leaders within the company.
-
Cross-Disciplinary Learning: Exposure to ML concepts and engineering challenges.
📝 Enhancement Note: The challenges inherent in this role are significant but directly translate into substantial growth opportunities for a motivated designer.
💡 Interview Preparation
Strategy Questions:
-
"Describe a complex problem you solved through design. What was your process, and what was the outcome?" (Focus on AI/complex systems if possible)
-
"How do you approach designing for AI-powered features? What are the unique challenges and considerations?"
-
"Walk me through your process for designing a new user flow from scratch. How do you incorporate user feedback?"
Company & Culture Questions:
-
"Why are you interested in working with AI products specifically?"
-
"What attracts you to an early-stage, flat organization like Bjak?"
-
"How do you handle ambiguity and evolving requirements in your design work?"
Portfolio Presentation Strategy:
-
Structure Your Presentation: Start with an overview, then dive into 1-2 detailed case studies. For each case study, cover: Problem, Your Role, Research/Discovery, Ideation, Design Solutions (Wireframes, UI, Prototypes), Testing & Iteration, Final Outcome/Impact.
-
Highlight Your Process: Emphasize how you arrived at your solutions, not just what the solutions are. Discuss your rationale.
-
Showcase Figma Skills: Be ready to navigate your Figma files, explain your component usage, and demonstrate interactive prototypes.
-
Connect to Bjak's Mission: Frame your experience and skills in the context of building a proactive AI system and fostering user trust.
-
Be Concise and Engaging: Respect the interviewer's time and keep your presentation focused and dynamic.
📝 Enhancement Note: Preparation should focus on demonstrating a strong design process, adaptability, and a genuine interest in AI and early-stage product development. Be ready to showcase your Figma skills and articulate your thought process clearly.
📌 Application Steps
To apply for this Product Designer (UX) position:
-
Submit your application through the provided link on Ashby.
-
Portfolio Customization: Tailor your portfolio to highlight 1-2 of your strongest case studies that best demonstrate your experience in designing complex systems, AI-driven features, or for web/mobile products. Ensure they clearly show your end-to-end design process.
-
Resume Optimization: Update your resume to prominently feature keywords such as "Product Design," "UX/UI Design," "Figma," "Prototyping," "AI Product Design," "User Flows," "Wireframing," and "Design Systems." Quantify achievements where possible.
-
Interview Preparation: Practice walking through your portfolio case studies, articulating your design decisions, and explaining your process. Prepare to discuss your interest in AI and early-stage companies.
-
Company Research: Familiarize yourself with Bjak's mission and the product they are building. Understand their focus on a "proactive AI system" and the implications for user experience.
⚠️ 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 proven experience as a product or UX designer with a portfolio spanning web and mobile products, demonstrating strong proficiency in Figma and rapid prototyping tools. Essential requirements include a solid understanding of design principles and the ability to simplify complex workflows while being comfortable working with evolving requirements.