Product Designer (UX)

📍 Job Overview

Job Title: Product Designer (UX)

Company: Bjak

Location: London, United Kingdom

Job Type: Full-Time

Category: Product Design / UX Design

Date Posted: April 30, 2026

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

Remote Status: Fully Remote (with preference for UK-based candidates)

🚀 Role Summary

• Lead end-to-end design for innovative AI product surfaces, translating complex AI capabilities into intuitive user experiences from concept to production.

• Design core user flows and interaction models for a proactive AI chat app, focusing on reliability, persistent context, and real-world task completion.

• Collaborate closely with Product, Engineering, and Machine Learning teams to rapidly prototype, test ideas, and ship high-quality features.

• Develop wireframes, user flows, prototypes, and high-fidelity UI for both web and mobile platforms, contributing to the evolution of the company's design system.

• Drive user advocacy within a fast-paced, early-stage environment, balancing user needs with product velocity and technical constraints to deliver a truly magical AI product.

📝 Enhancement Note: While the original listing is for a Product Designer (UX), the emphasis on AI, reliability, workflows, and real-world task completion strongly suggests a focus on operations-adjacent design challenges within the AI product context. This role requires not just aesthetic design but also a deep understanding of how users interact with intelligent systems to manage tasks and workflows, making it relevant for individuals interested in the intersection of UX and operational efficiency in AI. The remote status with a preference for UK-based candidates is noted.

📈 Primary Responsibilities

• Own the complete design lifecycle for key AI product surfaces, from initial ideation and concept development through to final implementation and iteration.

• Craft elegant and intuitive core user flows that simplify advanced AI functionalities, making them feel natural and accessible to everyday users.

• Partner effectively with cross-functional teams, including Product Managers, Engineers, and Machine Learning Specialists, to explore user problems, validate design hypotheses, and ensure rapid, high-quality feature delivery.

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

• Employ rapid prototyping techniques to swiftly iterate on novel interaction models, particularly those tailored for AI-driven conversational interfaces and workflow automation.

• Conduct thorough usability testing sessions, analyze user feedback, and synthesize insights to inform and refine product strategy and design direction.

• Contribute to the definition, maintenance, and evolution of the company's design system, ensuring consistency, scalability, and efficient design processes.

• Champion user experience best practices while skillfully navigating and balancing competing priorities related to product velocity and technical feasibility.

📝 Enhancement Note: The responsibilities highlight a strong focus on end-to-end ownership and cross-functional collaboration, typical of early-stage companies. The emphasis on "designing systems and journeys" and "achieving high reliability for long-running workflows" points to a need for designers who can think about the operational aspects of AI product usage, not just the front-end interface.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for foundational understanding. However, equivalent practical experience and a strong portfolio are paramount.

Experience: Minimum of 2-5 years of proven experience in product design or UX design roles, with a demonstrated track record of successfully shipping web and mobile products. Experience in early-stage companies or working on "zero-to-one" products is highly advantageous.

Required Skills:

• Demonstrated expertise in end-to-end product design for digital products, encompassing user research, ideation, wireframing, prototyping, UI design, and usability testing.

• Advanced proficiency in design and prototyping tools, with a strong emphasis on Figma.

• Solid grasp of fundamental design principles, including interaction design, information architecture, layout, visual hierarchy, and the creation of robust visual systems.

• Proven ability to collaborate effectively with cross-functional teams, including engineers and product managers, within fast-paced, agile development environments.

• Comfort and skill in designing with incomplete information and adapting to evolving requirements, a common trait in early-stage product development.

• Exceptional ability to distill complex processes and AI functionalities into simple, intuitive, and user-friendly experiences.

Preferred Skills:

• Prior experience designing for AI-powered applications, data-intensive products, or intelligent systems.

• Familiarity with various usability testing methodologies and qualitative research techniques.

• Experience working within early-stage startups or on "zero-to-one" product initiatives.

• A keen interest in exploring and defining emerging UX patterns specifically for AI, automation, and advanced intelligent systems.

📝 Enhancement Note: The experience level is estimated as "Mid-Level" (2-5 years) based on the "early, high-ownership role" description and the need for "proven experience," balancing the desire for autonomy with the need for foundational skills. The emphasis on "designing systems and journeys" and "achieving high reliability for long-running workflows" suggests that a candidate with experience in designing operational tools or complex task management systems would be particularly well-suited.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated portfolio showcasing a range of successful web and mobile product designs, demonstrating end-to-end design ownership and impact.

• Specific case studies that highlight complex problem-solving, particularly those involving AI, advanced workflows, or data-driven experiences.

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

• Evidence of collaboration with engineering and product teams, illustrating how designs were translated into functional products.

Process Documentation:

• Case studies should detail the design process followed, including problem definition, user research, ideation, iteration, and testing phases.

• Clear articulation of the rationale behind design decisions, connecting them to user needs and business objectives.

• Demonstration of how design solutions were iterated upon based on feedback and testing results.

• Examples of how design systems or UI components were utilized or contributed to.

• Documentation of any process improvements or efficiencies gained through design interventions.

📝 Enhancement Note: For an AI product design role, the portfolio should ideally showcase not just visual design skills but also the ability to conceptualize and design interactions for complex, potentially non-deterministic systems. Highlighting projects where the designer had to manage ambiguity, ensure reliability, or simplify multi-step processes will be crucial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Mid-Level Product Designer (UX) with 2-5 years of experience in London, United Kingdom, the estimated annual salary range is £55,000 - £75,000. This estimate considers the company's early-stage nature, the high-ownership aspect of the role, and the specific demands of designing for AI products. Factors such as specific skill set, interview performance, and the company's funding stage can influence the final offer.

Benefits:

• Competitive salary and potential for equity in an early-stage startup.

• Comprehensive health insurance package (details to be confirmed by company).

• Generous paid time off and holiday allowance.

• Opportunities for professional development, including training, conferences, and access to learning resources.

• A collaborative and innovative work environment with direct impact on product direction.

• Flexible working hours and remote work options.

Working Hours: The standard working hours are expected to be around 40 hours per week. However, given the early-stage, high-ownership nature of the role and the company's focus on rapid iteration, flexibility may be required, with an emphasis on delivering results rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: Salary estimates are based on data from reputable UK salary aggregators and job boards for similar roles in London. Benefits are inferred based on typical offerings for early-stage tech companies in the UK, particularly those emphasizing remote work and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Artificial Intelligence, SaaS, and Chat Applications. The company is focused on building a proactive AI chat app that integrates intelligence into everyday user conversations, errands, organization, and workflows.

Company Size: Early-stage startup. This implies a lean, agile team with high individual impact and a fast-paced, iterative development cycle.

Founded: The company is a new venture, likely founded recently, focusing on bringing AI to practical, widespread use.

Team Structure:

• The design team is likely small and highly integrated with Product and Engineering.

• Expect a flat hierarchy where direct collaboration and open communication are key.

• Designers work closely with Machine Learning engineers to understand AI capabilities and constraints.

Methodology:

• High-velocity, iterative development with a focus on shipping quickly and learning.

• Data-driven decision-making, with a strong emphasis on user feedback, usability testing, and tracking success metrics.

• Emphasis on "high talent density" and "hands-on" work, suggesting a team of highly skilled individuals who are comfortable taking initiative.

• Collective decision-making balanced with independent execution.

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

📝 Enhancement Note: The company description highlights a focus on building a "proactive AI chat app" with an emphasis on reliability, persistent context, and real-world task completion. This suggests a company aiming to solve genuine user problems through AI, moving beyond simple conversational agents to more functional, workflow-oriented applications. The "How We Work" section emphasizes a small, high-talent, hands-on team focused on delivering a "truly magical product."

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (UX) with significant ownership and autonomy. It offers the opportunity to shape core user flows and product direction from an early stage. The focus on designing for AI and complex workflows provides a unique specialization path within UX design.

Reporting Structure: The designer will likely report to a Head of Product, Design Lead, or a co-founder. They will work closely with Product Managers and Engineering Leads on a daily basis.

Operations Impact: This role has a direct impact on how users interact with and derive value from AI-powered operations. By simplifying complex AI interactions and ensuring workflow reliability, the designer will influence user adoption, satisfaction, and the overall effectiveness of the product in managing daily tasks and organizing information. The success of the AI product hinges on its usability and perceived intelligence, making the UX designer's contribution critical to the company's operational goals.

Growth Opportunities:

• Specialization: Deepen expertise in AI/ML UX, conversational interface design, and workflow automation design.

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

• Product Strategy: Contribute significantly to product roadmap decisions based on user insights and design expertise.

• Skill Development: Gain experience in a rapidly evolving field (AI) and contribute to defining new UX paradigms for intelligent systems.

• Impact: Be part of a foundational team shaping a product with the potential to benefit billions globally.

📝 Enhancement Note: The role's early-stage nature means growth is tied to company expansion and the individual's ability to take on increasing responsibility. The focus on AI and operational workflows offers a niche specialization that is highly relevant in the current tech landscape.

🌐 Work Environment

Office Type: The role is described as "Fully Remote," with a preference for candidates located in the United Kingdom. This suggests a distributed team environment with no central physical office required for this role, though there might be occasional team meetups or events.

Office Location(s): While the role is remote, the preference for UK-based candidates, specifically London, suggests that the company has a strong presence or focus within the UK market.

Workspace Context:

• A fully remote setup, requiring self-discipline, strong communication skills, and effective time management.

• Access to modern collaboration tools and platforms to facilitate seamless remote teamwork.

• An environment that values autonomy, trust, and outcome-driven performance.

• Opportunities for asynchronous and synchronous communication with global or UK-based colleagues.

Work Schedule: A standard 40-hour work week is typical, but flexibility is expected given the startup environment and remote nature. The focus is on achieving outcomes and meeting deadlines, allowing for some adaptation in daily scheduling, provided collaboration needs are met.

📝 Enhancement Note: The remote nature requires candidates to be comfortable working independently and proactively communicating with their team. The preference for UK-based candidates might relate to time zone alignment for collaboration or potential future in-person gatherings.

📄 Application & Portfolio Review Process

Interview Process:

• The process is designed to be efficient, with a maximum of 3-4 interviews.

• Applications are evaluated by technical team members.

• Interviews will be conducted via virtual meetings, with potential for onsite interviews (though less likely for a fully remote role).

Portfolio Review Tips:

• Highlight AI/Workflow Experience: Showcase at least one project that demonstrates your ability to design for complex AI interactions, workflow automation, or task management. Clearly articulate the problem, your design process, and the impact of your solution.

• Demonstrate End-to-End Ownership: Present projects where you took initiative from problem definition through to launch, illustrating your ability to work autonomously and collaborate effectively.

• Showcase Figma Proficiency: Be prepared to walk through your Figma files, demonstrating your understanding of component systems, prototyping capabilities, and design logic.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs (e.g., improved task completion rates, reduced user errors, increased engagement).

• Explain Design Rationale: Clearly articulate why you made specific design decisions, linking them to user needs, business goals, and technical constraints.

Challenge Preparation:

• Be prepared for design exercises that test your ability to think critically about AI interactions, simplify complex workflows, and design for reliability.

• Expect to discuss your approach to user research, prototyping, and iteration in a fast-paced environment.

• Practice articulating your design thinking process and defending your design choices clearly and concisely.

📝 Enhancement Note: The interview process emphasizes efficiency and direct evaluation by technical team members. The portfolio review will be critical for assessing practical design skills, problem-solving abilities, and fit for an AI-focused product. Candidates should prepare to discuss their experience with complex systems and their ability to thrive in a startup environment.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, UI design, prototyping, and collaboration. Proficiency is a must.

• Rapid Prototyping Tools: Beyond Figma's built-in capabilities, familiarity with other rapid prototyping tools can be beneficial for quick concept validation.

Analytics & Reporting:

CRM & Automation:

Other Potential Tools:

• Tools for user research and usability testing (e.g., UserTesting.com, Maze).

• Project management tools (e.g., Jira, Asana) for collaboration with engineering.

• Collaboration tools (e.g., Slack, Notion) for team communication.

📝 Enhancement Note: The primary technical requirement is advanced proficiency in Figma. The role requires a designer who can translate complex AI functionalities into intuitive interfaces, necessitating a strong grasp of interaction design principles and prototyping.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and solving user problems through thoughtful design.

• Reliability & Trust: Emphasis on creating AI experiences that are dependable, predictable, and build user trust, especially for critical workflows.

• Efficiency & Velocity: Balancing the need for rapid iteration and shipping quickly with the creation of high-quality, scalable design solutions.

• Collaboration & Transparency: Fostering an open environment where ideas are shared freely, feedback is constructive, and decisions are made collectively yet executed independently.

• Innovation: A drive to explore new frontiers in AI UX, pushing the boundaries of what's possible in intelligent systems.

Collaboration Style:

• Close Cross-functional Partnership: Designers are expected to work hand-in-hand with Product Managers, Engineers, and ML specialists, acting as integral members of product teams.

• Iterative Feedback Loops: A culture that encourages regular feedback, constructive critique, and continuous refinement of designs based on input from all stakeholders.

• Proactive Communication: In a remote setting, clear, concise, and proactive communication is vital for aligning on project goals, design directions, and potential roadblocks.

• Empowered Autonomy: Team members are empowered to take ownership of their areas, make decisions, and drive initiatives forward, supported by the collective expertise of the team.

📝 Enhancement Note: The company culture appears to value high performers who are self-starters, collaborative, and passionate about building impactful AI products. The emphasis on "high talent density" suggests a team that respects expertise and values rigorous problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working with cutting-edge AI technology means dealing with inherent unpredictability and evolving capabilities, requiring designers to create flexible and resilient interfaces.

• Simplifying Complexity: Translating sophisticated AI algorithms and multi-step reasoning into intuitive user experiences that feel natural and easy to use.

• Building Trust in AI: Designing interactions that help users understand, trust, and effectively leverage AI capabilities for their daily tasks and workflows.

• Balancing Innovation and Reliability: Ensuring that novel AI features are not only innovative but also highly reliable and perform as expected for long-running workflows.

• Remote Collaboration: Effectively contributing and collaborating within a distributed team environment, ensuring alignment and clear communication.

Learning & Development Opportunities:

• AI UX Specialization: Gain deep expertise in designing for AI, machine learning, and intelligent systems – a highly in-demand skill set.

• Zero-to-One Product Experience: Contribute to the foundational development of a new product, shaping its core features and user experience from inception.

• Exposure to ML/AI: Work closely with ML engineers, gaining insights into the technical capabilities and constraints of AI models, which can inform design.

• Design System Development: Play a role in building and scaling a design system for an AI-first product.

• Startup Environment: Develop adaptability, rapid problem-solving skills, and a broad understanding of product development in a fast-paced startup.

📝 Enhancement Note: This role presents significant challenges due to the novel nature of AI product design, but these challenges directly translate into substantial growth opportunities for designers eager to innovate in this space.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow or system. What was the problem, your approach, and the outcome?" (Focus on process, problem-solving, and impact.)

• "How would you approach designing an AI chat interface that needs to maintain context over long, multi-step conversations for task completion?" (Assess understanding of AI UX challenges, context management, and reliability.)

• "Imagine our AI assistant needs to interact with external tools (e.g., calendar, email). How would you design the user experience for these integrations to feel seamless and trustworthy?" (Evaluate ability to handle complex integrations and build user trust.)

Company & Culture Questions:

• "What interests you about designing for AI and proactive chat applications specifically?" (Assess genuine interest and alignment with the company's mission.)

• "How do you approach collaboration with engineers and product managers, especially on a remote team?" (Evaluate communication and teamwork skills.)

• "What does 'high talent density' mean to you, and how do you contribute to such an environment?" (Gauge self-awareness and collaborative approach.)

Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly outline: The Problem, Your Role, The Solution (showcasing visuals and prototypes), The Process (research, ideation, iteration), and The Outcome (metrics, learnings).

• Emphasize AI/Workflow Projects: Prioritize projects that demonstrate your ability to handle complexity, design for AI, or optimize operational tasks.

• Show, Don't Just Tell: Use visual aids extensively. Be prepared to walk through your Figma prototypes and explain design decisions interactively.

• Articulate Your Thinking: Clearly explain the why behind your design choices. Connect your decisions back to user needs, business goals, and technical considerations.

• Be Ready for Deep Dives: Anticipate detailed questions about your process, the trade-offs you made, and how you handled challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skills but also strategic thinking, an understanding of AI product challenges, and the ability to thrive in a fast-paced, collaborative startup environment. Highlighting experience with complex systems and workflow design will be key.

📌 Application Steps

To apply for this Product Designer (UX) position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio: Select 2-3 of your strongest projects to showcase, prioritizing those that demonstrate end-to-end ownership, complex problem-solving, and ideally, experience with AI, workflow design, or data-intensive applications. Ensure your portfolio is easily navigable and visually appealing.

• Tailor Your Resume: Highlight experience and skills directly relevant to the job description, using keywords such as "Product Design," "UX Design," "Figma," "Prototyping," "AI," "Workflow Design," and "Cross-functional Collaboration." Quantify achievements where possible.

• Prepare Your Portfolio Walkthrough: Be ready to present and discuss your selected case studies in detail, articulating your process, design rationale, and the impact of your work. Practice explaining complex design decisions clearly and concisely.

• Research Bjak: Understand their mission to build a proactive AI chat app, their focus on reliability and workflows, and their "How We Work" philosophy. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.