AI Product Designer - Poznań

📍 Job Overview

Job Title: AI Product Designer

Company: Tangent

Location: Poznań, Poland

Job Type: Full-Time

Category: Product Design, UX/UI Design, AI/ML Design

Date Posted: 2026-02-11

Experience Level: Mid-level

Remote Status: Hybrid

🚀 Role Summary

• Design and prototype innovative user experiences that integrate LLM-powered interfaces and Generative UI (GenUI) approaches, blending strong design fundamentals with emerging AI capabilities.

• Support qualitative and quantitative research initiatives, leveraging AI-assisted tools to synthesize insights, identify key patterns, and inform strategic product direction.

• Collaborate with engineering teams to understand AI model behaviors, designing intuitive interfaces that effectively harness the strengths and mitigate the limitations of language models.

• Apply and extend design systems to support AI-driven and GenUI experiences, ensuring consistency, brand alignment, and scalability across digital products.

• Contribute to client-facing workshops and internal initiatives focused on educating stakeholders and evolving Tangent's expertise in AI-powered design practices.

📝 Enhancement Note: The role is for a "mid-weight AI Product Designer" with a focus on "LLM-powered interfaces" and "generative UI (GenUI)". This indicates a need for a designer who can bridge traditional UX/UI skills with emerging AI technologies. The hybrid work arrangement in Poznań suggests a collaborative environment with opportunities for in-person interaction, balanced with remote flexibility. The company's description as a "digital agency partnering with some of the world’s largest enterprises" implies working on complex, high-impact projects for established clients.

📈 Primary Responsibilities

• Conduct and support qualitative and quantitative user research, utilizing AI-assisted tools for efficient data synthesis and pattern identification to inform product strategy.

• Translate research findings and user needs into clear, actionable product opportunities, with a specific emphasis on areas where LLM-powered interfaces can deliver significant value.

• Design and iterate on user experiences for conversational, adaptive, and system-driven interfaces, utilizing both low and high-fidelity prototypes, including interactive and conversational concepts.

• Develop and refine prompts, user flows, state management, and interaction patterns for LLM-powered interfaces, ensuring they are natural, on-brand, and highly functional.

• Contribute to the application and evolution of design systems to accommodate GenUI and AI-driven features, ensuring design consistency, scalability, and maintainability.

• Participate actively in client and internal workshops, facilitating discussions and ideation around emerging AI-powered and GenUI experiences.

• Clearly articulate design decisions, justifying them based on user needs, business objectives, and the capabilities of AI technologies.

• Share design work and insights confidently with internal teams and clients through compelling storytelling and robust visual communication.

• Actively explore and experiment with new AI tools, workflows, and methodologies (e.g., vibe-driven design, coding workflows, no-code tools) to enhance design practices and contribute to Tangent's AI practice development.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on research synthesis using AI tools, designing conversational and adaptive interfaces, and integrating with LLMs. This requires a designer who is not only skilled in traditional UX/UI but also proactive in understanding and applying AI capabilities within design processes. The mention of "evolving Tangent's AI and design practice" suggests a role with growth potential and an opportunity to influence the company's direction in this space.

🎓 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 mid-level design roles. Equivalent practical experience will also be considered.

Experience: Proven experience as a Product Designer, UX/UI Designer, or similar role, with a portfolio showcasing digital design projects. Experience working with or a strong interest in AI-powered interfaces, LLMs, or Generative UI is essential.

Required Skills:

• Strong UX and UI design fundamentals, with proficiency in modern design and prototyping tools (e.g., Figma, Sketch, Adobe XD, InVision).

• Demonstrated experience in prototyping and iterating on design ideas, including interactive or conversational experiences.

• A demonstrable interest in or hands-on exposure to LLM-powered interfaces, conversational UX, or Generative UI (GenUI), evidenced through client work, internal projects, personal prototypes, or exploration.

• Solid understanding of design systems, including their principles and how they facilitate scalability, particularly for AI-driven products.

• Excellent communication skills, with the ability to articulate design rationale clearly and persuasively to diverse audiences.

• A collaborative mindset and proven ability to work effectively within cross-functional teams.

• Comfort working through ambiguity and adapting to evolving project requirements and technological landscapes.

• High degree of curiosity, adaptability, and a proactive desire for continuous learning.

Preferred Skills:

• Experience with AI-assisted research and synthesis tools.

• Familiarity with prompt engineering principles for LLMs.

• Exposure to or understanding of "vibe-driven design" concepts.

• Experience with no-code or low-code tools for rapid prototyping or implementation.

• An understanding of how structured design foundations (tokens, components, patterns) can power adaptive and generative UI.

• Basic understanding of coding principles or development workflows as they relate to design implementation.

📝 Enhancement Note: The "mid-weight" designation suggests 2-5 years of relevant professional experience. The emphasis on "interest or hands-on exposure" to AI/GenUI rather than deep expertise indicates they are looking for a designer with foundational skills who is eager to learn and apply new AI paradigms. The hybrid model implies a need for strong self-management and remote collaboration skills in addition to in-office presence.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of digital products designed, detailing your role and contributions in the design process.

• Examples of UX/UI design work, demonstrating strong visual design principles and user-centered problem-solving.

• Prototypes (interactive or conversational) that illustrate your ability to explore and communicate complex user flows and interactions.

• Case studies that highlight your process, from research and ideation through to iteration and final design, with a focus on problem-solving and outcomes.

Process Documentation:

• Projects should clearly articulate the design process followed, including research methodologies, ideation techniques, prototyping tools, and testing approaches.

• For AI-related projects, detail how you approached understanding LLM capabilities and limitations in your design solutions.

• Demonstrate how you gathered and synthesized user insights, particularly if AI-assisted tools were used.

• Illustrate your iterative design process, showing how feedback (user testing, stakeholder reviews) influenced design decisions.

• Include examples of how you collaborated with other disciplines (e.g., engineers, strategists) throughout the design lifecycle.

📝 Enhancement Note: The portfolio should explicitly highlight projects that involve or demonstrate an understanding of AI-driven interfaces, conversational design, or GenUI. Candidates should be prepared to discuss their design process in detail, particularly how they navigated ambiguity and leveraged emerging technologies. The emphasis on "design systems literacy" suggests that demonstrating how a design system was used or extended in a project would be beneficial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a mid-weight AI Product Designer in Poznań (Poland), a competitive salary range would typically be between 8,000 PLN to 14,000 PLN gross per month, depending on experience and specific skill set. This translates to approximately €1,750 - €3,050 per month.

Benefits:

• 100% Remote Working Flexibility: Option to work fully remotely, offering significant work-life balance.

• Hybrid Work Option: Ability to work from Tangent's office in Poznań, fostering in-person collaboration and community.

• Enhanced Holiday Entitlement: Additional days off are accrued based on tenure, up to a maximum of 3 extra days per year after two years of service.

• Growth and Training Opportunities: Access to continuous professional development, including specific training, qualifications, and event attendance to foster skill enhancement and career ambition.

• Private Healthcare: Eligibility for private medical insurance after one year of service for UK-based employees (this benefit might vary for Polish employees, but company commitment to employee well-being is evident).

• Global Socials and Parties: Opportunities to connect with colleagues through company-organized events, with international employees flown in annually for London-based social events to facilitate in-person interaction.

• Employee Assistance Program: While not explicitly stated, typically companies offering comprehensive benefits may include EAP services.

Working Hours: Full-time employment. While the exact hours are not specified, a standard Polish work week is 40 hours. The "100% remote working" and "hybrid" options suggest flexibility in how these hours are managed, within reasonable operational needs.

📝 Enhancement Note: The provided salary range is an estimate based on general market data for mid-level design roles in Poland, with an uplift for the specialized AI focus. Specifics should be confirmed with Tangent. The description indicates flexibility with remote and hybrid options, suggesting a culture that values work-life balance. The mention of private healthcare being for UK employees needs clarification for Polish hires, though other benefits are globally applicable.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Agency, Technology Consulting, Product Design. Tangent operates at the intersection of design, technology, and business strategy, serving large enterprises. This environment fosters innovation and requires adaptability.

Company Size: Tangent has multiple studios globally (Newcastle, London, Cape Town, Lahore, Cairo, and Poznań) and employs a significant number of people. This suggests a dynamic, mid-to-large-sized agency with diverse talent and resources.

Founded: Founded in 2007, Tangent has over 15 years of experience in the digital space, indicating a stable, established company with a proven track record.

Team Structure: The AI Product Designer will be part of the multidisciplinary design team, which includes strategy, UX, and UI specialists, with a growing focus on AI and LLM interfaces. They will likely report to a Design Lead or Head of Design and collaborate closely with engineers, project managers, and client teams. The Poznań studio is one of several global locations, suggesting a distributed team structure with opportunities for international collaboration.

Methodology: Tangent's approach appears to be client-centric and future-focused, emphasizing the design of "future-ready experiences, products and capabilities." They leverage a blend of strategic thinking, user-centered design, and emerging technologies like AI. Their core values ("Always ask questions, Listen more than speak, Own your area, Strive for better") guide their operational methodology, promoting a culture of inquiry, collaboration, ownership, and continuous improvement.

Company Website: https://www.thetangent.org/

📝 Enhancement Note: Tangent positions itself as a forward-thinking digital agency, which is crucial for an AI Product Designer role. The company's global presence indicates exposure to diverse projects and clients. The core values provide insight into the expected work ethic and team dynamics.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Mid-level," typically requiring 2-5 years of professional experience. It signifies a designer capable of working autonomously on defined tasks, contributing significantly to project design, and starting to mentor junior colleagues or take ownership of specific design streams. The focus on AI and GenUI also suggests a specialization track within product design.

Reporting Structure: The AI Product Designer will likely report to a Senior Designer, Design Lead, or Head of Design within the Product Experience department. They will work in close collaboration with UX/UI designers, researchers, engineers, project managers, and client stakeholders.

Operations Impact: The AI Product Designer's work directly impacts the user experience of digital products, influencing client satisfaction, product adoption, and ultimately, the success of client enterprises. By designing intuitive and effective AI-powered interfaces, they contribute to creating more efficient, engaging, and future-ready solutions that drive business value for clients.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in LLM interfaces, GenUI, conversational design, and AI-assisted design workflows, becoming a subject matter expert.

• Senior Design Roles: Progress to Senior AI Product Designer or Lead Designer positions, taking on more complex projects, client leadership, and team mentorship.

• Cross-functional Skill Development: Gain exposure to design strategy, consultancy, and engineering through cross-disciplinary collaboration.

• Industry Influence: Contribute to Tangent's thought leadership and practice development in the rapidly evolving field of AI in design.

• Mentorship: Opportunity to mentor junior designers and contribute to talent development within the agency.

📝 Enhancement Note: The "mid-weight" designation implies a clear career progression path within Tangent, moving towards senior and leadership roles. The emphasis on AI and GenUI positions this role as one of strategic importance for the agency's future growth and service offerings.

🌐 Work Environment

Office Type: Tangent offers a hybrid work model, allowing employees to choose between 100% remote work or a mix of remote and office-based work from their Poznań studio. This suggests an environment that values flexibility and autonomy while providing collaborative spaces.

Office Location(s): The role is based in Poznań, Poland. Tangent also has studios in Newcastle, London, Cape Town, Lahore, and Cairo, indicating a global presence and potential for cross-studio collaboration.

Workspace Context:

• Flexibility: The hybrid/remote option supports diverse working styles and personal needs.

• Collaboration: The Poznań studio provides a physical space for team interaction, workshops, and in-person collaboration. Global social events also foster connection across different locations.

• Technology: As a digital agency focused on emerging technologies, expect access to modern design tools, software, and potentially AI-specific hardware or platforms.

• Team Interaction: Opportunities for both focused individual work and collaborative sessions with designers, engineers, and other team members, both locally and globally.

Work Schedule: Full-time with flexibility, accommodating a hybrid or fully remote setup. Standard working hours are expected, but the company culture appears supportive of work-life balance.

📝 Enhancement Note: The hybrid model in Poznań is a key aspect, suggesting a balanced approach to work environment. The company's global reach means exposure to international projects and diverse teams, which is a significant draw for many professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio by a recruiter or hiring manager to assess basic qualifications and alignment with the role.

• Portfolio Presentation & Discussion: A session where you present selected projects from your portfolio, focusing on your design process, problem-solving approach, and contributions, particularly highlighting any AI/GenUI relevant work. This is often followed by a Q&A.

• Technical/Skills Interview: May involve a design challenge or discussion of specific design methodologies, tools, and your understanding of AI in design.

• Team/Culture Fit Interview: An opportunity to meet with potential team members and discuss values, collaboration style, and cultural alignment with Tangent's ethos.

• Final Interview: Potentially with a senior leader to discuss career aspirations, strategic fit, and finalize the offer.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your UX/UI fundamentals, design process, and, crucially, your engagement with AI, LLMs, or GenUI.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed, the challenges you faced, your design decisions, and the outcomes or learnings.

• Highlight AI Integration: Explicitly detail how you incorporated or considered AI capabilities, LLMs, or GenUI principles in your designs. If you used AI tools for research or ideation, explain how.

• Showcase Process: Emphasize your iterative approach, how you gathered and synthesized insights, and how you collaborated with others.

• Demonstrate Craft: Ensure your visuals are polished and your prototypes are functional and illustrative of the intended user experience.

• Be Prepared for Questions: Anticipate questions about your design choices, how you handle ambiguity, your learning process, and your understanding of emerging technologies.

Challenge Preparation:

• Design Exercise: Be prepared for a design challenge, which might involve analyzing a brief, sketching out concepts, or creating a low-fidelity prototype for a problem related to AI interfaces or conversational design.

• Process Focus: Demonstrate your end-to-end design thinking, not just the final UI.

• AI Context: Understand how to approach designing for AI, considering factors like prompt design, model limitations, and user expectations.

• Communication: Practice articulating your thought process clearly and concisely, as if presenting to a client or team.

📝 Enhancement Note: The interview process is likely to be thorough, with a strong emphasis on assessing practical design skills, problem-solving abilities, and the candidate's aptitude for working with cutting-edge AI technologies. The portfolio review is critical, and candidates should tailor their presentation to highlight relevant AI/GenUI experience.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD, InVision (proficiency expected in at least one primary tool like Figma).

• Design Systems: Experience with or understanding of tools and methodologies for managing design systems (e.g., Storybook, Zeroheight, internal component libraries).

• Collaboration Tools: Miro, Mural for workshops and ideation; Slack, Microsoft Teams for communication.

Analytics & Reporting:

CRM & Automation:

AI/ML Specific Tools (Potential Exposure):

• Prompt Engineering Tools: Familiarity with platforms or methods for interacting with LLMs (e.g., OpenAI Playground, specific API interfaces).

• AI-assisted Design Tools: Awareness of or experience with tools that leverage AI for design tasks (e.g., AI image generators, AI content assistants, AI code assistants for prototyping).

📝 Enhancement Note: Proficiency in standard UX/UI design tools is a must. For this role, demonstrating familiarity or a keen interest in tools and platforms related to AI, LLMs, and generative design is highly recommended and will set candidates apart.

👥 Team Culture & Values

Operations Values: Tangent's core values are:

• Always ask questions: Encourages curiosity, critical thinking, and a proactive approach to understanding problems and solutions. For an AI Designer, this means questioning assumptions about AI capabilities and user needs.

• Listen more than speak: Emphasizes empathy, user-centricity, and effective communication. For design, this translates to deep user understanding and collaborative dialogue.

• Own your area: Promotes accountability, responsibility, and initiative. Designers are expected to take ownership of their design contributions and see them through to successful implementation.

• Strive for better: Drives a culture of continuous improvement, innovation, and a pursuit of excellence. This is crucial for staying ahead in the fast-evolving AI and digital design landscape.

Collaboration Style:

• Cross-functional Integration: Tangent emphasizes working closely with engineers, strategists, and client teams, indicating a highly collaborative and integrated approach to product development.

• Workshop-Driven: The mention of client and internal workshops suggests a culture that values collaborative problem-solving and co-creation.

• Open Communication: The "listen more than speak" value implies an environment where feedback is valued and diverse perspectives are encouraged.

• Knowledge Sharing: The focus on innovation and "strive for better" suggests a culture of sharing learnings and best practices, especially around new technologies like AI.

📝 Enhancement Note: The company's stated values are directly applicable to the role of an AI Product Designer, promoting a mindset necessary for navigating complex, emerging technologies within a collaborative agency setting.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in AI, LLMs, and GenUI requires continuous learning and adaptation.

• Designing for Ambiguity: AI-powered interfaces often involve inherent unpredictability; designing user experiences that are robust, intuitive, and trustworthy amidst this ambiguity is a key challenge.

• Balancing AI Capabilities with User Needs: Ensuring that AI features genuinely enhance the user experience and solve real problems, rather than being implemented for novelty.

• Integrating AI into Design Systems: Developing scalable and maintainable design systems that can accommodate the dynamic nature of AI-generated or adaptive interfaces.

• Client Education: Helping clients understand the potential and limitations of AI-powered design and managing their expectations.

Learning & Development Opportunities:

• AI Design Specialization: Deep dive into prompt engineering, LLM interaction design, agentic workflows, and the ethical considerations of AI in design.

• Tool Proficiency: Become an expert in AI-assisted design tools and workflows.

• Industry Events & Certifications: Opportunities to attend conferences, workshops, and pursue certifications related to AI, UX, and product design.

• Mentorship Programs: Benefit from mentorship by senior designers and AI specialists within Tangent.

• Contribution to Practice: Play a role in shaping Tangent's AI design methodologies and best practices.

📝 Enhancement Note: The challenges align with the cutting-edge nature of the role, offering significant opportunities for professional growth and skill development in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex digital product you've designed and how you approached user research and problem-solving." (Focus on your process and how you synthesized insights).

• "How would you approach designing a conversational interface for a customer support chatbot using an LLM, considering its potential limitations?" (Assess your understanding of conversational UX and LLM constraints).

• "Walk us through a project where you had to adapt your design process due to new technology or evolving project requirements." (Demonstrates adaptability and handling ambiguity).

Company & Culture Questions:

• "What interests you about Tangent and our work in AI-powered experiences?" (Research Tangent's portfolio and recent work).

• "How do you align with Tangent's core values: Always ask questions, Listen more than speak, Own your area, Strive for better?" (Provide specific examples from your experience).

Portfolio Presentation Strategy:

• Select Wisely: Choose projects that best demonstrate your AI/GenUI interest and capabilities, alongside strong UX/UI fundamentals.

• Focus on Process: Clearly articulate the "why" and "how" behind your design decisions, not just the final screens.

• Quantify Impact: Where possible, mention user feedback, testing results, or business outcomes related to your designs.

• Showcase AI Thinking: Explicitly discuss how you considered AI capabilities, prompt design, or generative aspects in your projects.

• Be Prepared for Deep Dives: Expect detailed questions about your design rationale, trade-offs, and problem-solving approaches.

📝 Enhancement Note: Candidates should prepare to discuss their understanding of AI's role in design, their adaptability, and their alignment with Tangent's collaborative and innovative culture. The portfolio presentation is the most critical part of the interview process for this role.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Tangent's BambooHR portal.

• Portfolio Customization: Tailor your portfolio to prominently feature projects demonstrating your UX/UI foundation and any experience or strong interest in AI-powered interfaces, LLMs, or Generative UI. Clearly articulate your role and process in each case study.

• Resume Optimization: Ensure your resume highlights relevant skills such as UX/UI design, prototyping, conversational design, AI interest, design systems, and collaborative abilities, using keywords from the job description.

• Interview Preparation: Practice articulating your design process, problem-solving approach, and your understanding of AI in design. Prepare to present your portfolio effectively and discuss your alignment with Tangent's values.

• Company Research: Thoroughly research Tangent's work, client projects, and company culture to demonstrate genuine interest and understanding during the interview process. Pay attention to their AI focus and digital agency model.

⚠️ 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.