Product Designer

📍 Job Overview

Job Title: Product Designer

Company: RTB House

Location: Poland

Job Type: Full-time

Category: Product Design / User Experience

Date Posted: 2026-09-15

Experience Level: Mid-level to Senior (2-5 years specifically in product teams)

Remote Status: Fully Remote Eligible (with option for remote within Poland)

🚀 Role Summary

• Design and deliver end-to-end user interfaces for complex B2B AdTech platforms, focusing on intuitive and scalable web experiences.

• Drive product improvements through rigorous UX research, data analysis, and user feedback, with an emphasis on leveraging AI tools for efficiency.

• Collaborate closely with engineering, product management, and fellow designers to translate complex requirements into user-centric solutions.

• Contribute to and expand an established Design System in Figma, ensuring visual consistency and efficient component-based design.

• Conduct comprehensive UX research, including user interviews, usability testing, and quantitative/qualitative data analysis, to inform design decisions.

📝 Enhancement Note: The role is described as a "full-skilled Product Designer" who thrives on solving complex problems and taking ownership end-to-end. This suggests a need for a candidate who can operate autonomously and contribute significantly across the entire design lifecycle, from discovery to implementation support. The emphasis on AdTech and B2B platforms indicates a need for experience with complex data visualization and business-oriented user interfaces.

📈 Primary Responsibilities

• Design end-to-end features for RTB House's proprietary AdTech panels (desktop-first), encompassing problem discovery, user flows, wireframes, high-fidelity mockups, and providing support during implementation and design QA.

• Implement product improvements by conducting thorough audits, analyzing user data, and executing usability research to identify areas for enhancement.

• Foster close collaboration with stakeholders, engineering teams, and other designers, actively participating in refinement sessions, scope decomposition, design handoffs, and defining interaction specifications.

• Maintain and expand the existing Design System within Figma, utilizing components, design tokens, and auto-layouts, while identifying and proposing solutions for any identified gaps or new pattern requirements.

• Conduct comprehensive UX research methodologies, including user interviews, usability testing, surveys, and qualitative/quantitative data analysis, to deeply understand user needs and behaviors.

• Optimize personal daily workflows and user interactions by effectively leveraging modern AI tools for design assistance and process automation.

• Design solutions that effectively balance technical constraints, business objectives, and real-world system limitations to deliver feasible and impactful products.

📝 Enhancement Note: The responsibility to "Optimize your own daily workflow and user interactions by leveraging modern AI tools" highlights a forward-thinking approach and an expectation for candidates to be early adopters or proficient users of AI in their design process. This indicates the company is invested in efficiency gains through technology.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for this level of experience. A strong portfolio can often substitute for formal education.

Experience: A minimum of 4 years of overall design experience, with at least 2 years specifically working within a product team environment, is required.

Required Skills:

• Strong analytical thinking skills with the ability to dissect complex problems into manageable, actionable components.

• Hands-on experience utilizing qualitative and quantitative data, including analytics tools and leveraging AI to streamline these tasks.

• Proven experience conducting UX research, including usability tests, in-depth interviews, surveys, and analyzing research findings (with an emphasis on AI optimization).

• Foundational understanding of HTML and CSS to facilitate effective communication and handoffs with frontend developers.

• Fluency in English (minimum B2+ level) for clear communication within a global team.

• High degree of independence, ownership, a proactive problem-solving mindset, and strong work organization capabilities.

• Aesthetic sensitivity, meticulous attention to detail, and a commitment to maintaining visual consistency across all design outputs.

• Solid proficiency in using AI tools within the daily design workflow to enhance productivity and creativity. Preferred Skills:

• Prior experience designing products within the AdTech domain.

• Experience designing complex B2B platforms, such as Content Management Systems (CMS) or Customer Relationship Management (CRM) tools.

• Advanced mastery of AI tools specifically for design tasks and process automation.

📝 Enhancement Note: The requirement for "4+ years of overall experience in design, with at least 2 years working inside a product team" specifically targets candidates with practical, hands-on experience in product development cycles, not just general design. The emphasis on AI tools across multiple requirements suggests this is a critical differentiator for the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating solid end-to-end product design experience, showcasing the entire design process from problem definition to final execution.

• Case studies that highlight your ability to tackle complex problems, detailing your thought process, research methodologies, design iterations, and final outcomes.

• Examples of how you have applied user research and data analysis to inform design decisions and measure their impact.

• Demonstrations of your collaboration with engineering and product teams, including clear handoffs and implementation support.

• Evidence of your contribution to or utilization of design systems, showcasing your understanding of component-based design and scalability. Process Documentation:

• Showcase examples of user flow diagrams and wireframes that illustrate your approach to mapping out complex user journeys and information architecture.

• Present mockups and prototypes that demonstrate your visual design skills and ability to create intuitive user interfaces.

• Include examples of how you've conducted usability testing and incorporated feedback for iterative design improvements.

• Document how you've leveraged AI tools to enhance your design process, such as for ideation, content generation, or workflow optimization.

📝 Enhancement Note: The explicit mention of a "portfolio demonstrating solid end-to-end product design experience" and the inclusion of "AI tools" in the "Nice to Have" section (and also in required skills) suggests that showcasing projects where AI was integrated into the design process, or where the candidate has a strong understanding of AI's application in design, will be highly advantageous.

💵 Compensation & Benefits

Salary Range: While a specific salary range is not provided, for a Product Designer role with 4+ years of experience in Poland, especially with a focus on complex B2B platforms and remote work, the estimated annual gross salary would typically range from PLN 120,000 to PLN 180,000 (approximately €27,000 to €40,000). This estimate is based on industry benchmarks for experienced designers in Poland, considering the tech sector and the company's global presence. The exact figure will depend on the candidate's specific experience, portfolio strength, and negotiation.

Benefits:

• Flexible cooperation terms, allowing for adaptable work arrangements.

• 100% remote work option, providing significant work-life balance and location independence.

• Provision of all necessary hardware and software equipment required for the role.

• A supportive, partner-driven, and mature company culture that fosters collaboration and professional growth.

Working Hours: The standard working hours are typically 40 hours per week, aligning with full-time employment. However, the "flexible cooperation terms" and "100% remote option" suggest potential for flexibility in scheduling, which is common for remote roles in the tech industry, allowing for adaptation around core collaboration times.

📝 Enhancement Note: Salary estimation for Poland is based on aggregated data from Polish job boards and international salary comparison sites, adjusted for the specific role and experience level. The benefits listed are directly extracted from the provided text and highlighted for their appeal to remote and tech professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: RTB House operates in the AdTech (Advertising Technology) and MarTech (Marketing Technology) sector, specifically as a next-generation performance demand-side platform (DSP). They are a market leader in using Deep Learning AI algorithms for performance-driven advertising, focusing on first-party data and innovation. This industry context means the company is at the forefront of data-driven marketing and AI applications.

Company Size: RTB House is a significant player, operating in 90+ markets. While not explicitly stated, this suggests a company size likely in the range of 500-1000+ employees, indicating a structured organization with established processes but also room for agile development.

Founded: Founded in 2012, RTB House has a relatively young but established history, known for its private-by-design approach and a relentless focus on innovation, particularly in Deep Learning.

Team Structure:

• The Product Design Team is described as "crucial" and works collaboratively to deliver interfaces for complex platforms, suggesting a dedicated and valued design function.

• Designers will likely work within cross-functional product teams, reporting into a design lead or product management hierarchy, and collaborating closely with engineers and product managers.

• Cross-functional collaboration is emphasized, with designers expected to work closely with engineering teams, stakeholders, and fellow designers, participating in refinements, scope decomposition, and handoffs. Methodology:

• Data-driven decision-making is core, with responsibilities including implementing product improvements based on audits, data analysis, and usability research.

• Workflow planning and optimization are key, as designers are expected to design effectively under constraints and optimize their own daily workflows, particularly with AI tools.

• Automation and efficiency practices are encouraged, with a specific mention of leveraging AI tools to optimize workflows and interactions.

Company Website: https://www.rtbhouse.com/

📝 Enhancement Note: The company's focus on "Deep Learning AI algorithms" and "next-generation performance" indicates a culture that values innovation, data science, and cutting-edge technology. This means designers will likely work with complex datasets and sophisticated algorithms, requiring a strong analytical and problem-solving approach.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level to senior Product Designer. The requirement of 4+ years of overall design experience, with at least 2 years specifically in a product team, and the expectation to "act as a full-skilled Product Designer who thrives on solving complex problems, taking ownership end-to-end" indicates a role with significant autonomy and responsibility. The designer is expected to contribute across the entire product development lifecycle, from discovery to design QA.

Reporting Structure: While not explicitly detailed, designers typically report to a Design Lead, Head of Design, or Product Management leadership. They will work within cross-functional product teams, reporting to a manager who oversees product development initiatives. The emphasis on collaboration suggests a flat or matrixed reporting structure within product teams.

Operations Impact: The Product Design team is explicitly stated as "crucial in driving our company’s success." Designers directly influence the usability, efficiency, and adoption of RTB House's complex AdTech platforms. Their work impacts client conversion rates, customer acquisition, engagement, and overall client satisfaction, thereby directly contributing to the company's revenue and market position.

Growth Opportunities:

• Skill Advancement: Opportunities to deepen expertise in UX research, data analysis, and complex B2B platform design. The emphasis on AI tools also presents a chance to become a specialist in AI-assisted design.

• Specialization: Potential to specialize within the AdTech domain, developing deep expertise in performance marketing technologies and user challenges.

• Leadership: With strong performance and ownership, there could be pathways to senior design roles, design leadership, or mentoring junior designers. The company's growth in 90+ markets suggests opportunities for impact on a global scale.

📝 Enhancement Note: The role's emphasis on "end-to-end ownership" and "solving complex problems" points towards a growth trajectory that values strategic contribution and the ability to drive initiatives independently, rather than just executing tasks.

🌐 Work Environment

Office Type: RTB House offers a "100% remote option" and "flexible cooperation terms." This indicates a distributed work environment that prioritizes flexibility and autonomy, rather than a traditional office setting.

Office Location(s): While the primary location is listed as Poland, the remote option means candidates from various locations may be considered, provided they can work effectively within the specified time zones or collaboration needs. The company operates globally in 90+ markets.

Workspace Context:

• Collaborative Environment: Despite being remote-first, the culture is described as "supportive, partner-driven, and mature," suggesting strong virtual collaboration tools and practices are in place.

• Operations Tools & Technology: Designers will have access to essential hardware and software, including Figma, and are encouraged to leverage modern AI tools. This implies a tech-forward workspace that supports efficient digital workflows.

• Team Interaction: Regular interaction with engineering teams, fellow designers, and stakeholders is expected through virtual meetings, design critiques, and collaborative platforms.

Work Schedule: The standard 40-hour work week is implied, but the flexible cooperation terms and remote nature likely allow for some degree of schedule adjustment, provided core meeting and collaboration hours are met. This flexibility is beneficial for individuals who need to manage personal commitments or prefer non-traditional working hours, while still ensuring timely project delivery.

📝 Enhancement Note: The "100% remote option" is a significant aspect of the work environment, suggesting that the company has adapted its processes and culture to support a distributed workforce effectively. Candidates should expect a high degree of reliance on digital communication and collaboration tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio to assess experience, skills, and alignment with the role's requirements, with a particular focus on end-to-end product design capabilities and AI tool utilization.

• Design Challenge/Case Study: Likely a practical exercise or presentation of a past project that demonstrates your problem-solving approach, design process, research skills, and ability to articulate design decisions. Expect to discuss how you would tackle a specific problem relevant to RTB House's platforms.

• Team/Stakeholder Interviews: Interviews with fellow designers, engineers, and product managers to evaluate collaboration style, communication skills, technical understanding, and cultural fit.

• Final Interview: Potentially with a senior leader to discuss overall fit, career aspirations, and strategic alignment.

Portfolio Review Tips:

• Showcase End-to-End Process: For each project, clearly articulate the problem, your role, the research conducted, design iterations, rationale behind key decisions, and the final outcome/impact.

• Highlight Complexity & Problem-Solving: Focus on projects that demonstrate your ability to tackle complex B2B or data-intensive challenges. Detail how you broke down problems and arrived at solutions.

• Demonstrate Research & Data Utilization: Provide concrete examples of how you used user research, data analysis, and AI tools to inform your design decisions and measure success.

• Illustrate Collaboration: Mention how you worked with engineering and product teams, including your handoff process and any challenges overcome through collaboration.

• Design System Contribution: If applicable, showcase contributions to or expert use of design systems, including components, tokens, and auto-layouts.

• AI Integration: Explicitly describe how you've used AI tools in your workflow and the benefits achieved.

Challenge Preparation:

• Understand RTB House: Research RTB House's business, target audience (brands, advertisers), and their AdTech platform. Understand the challenges in performance marketing and DSPs.

• Prepare for Problem-Solving: Be ready to discuss how you approach ambiguous problems, translate business needs into design solutions, and handle technical constraints.

• Practice Articulation: Clearly explain your design decisions, research findings, and the impact of your work. Practice presenting your portfolio projects concisely and effectively.

📝 Enhancement Note: Given the emphasis on "end-to-end" design and "complex problems," candidates should prepare to deep-dive into specific project case studies that showcase their entire design process and problem-solving methodology. The AI component means preparing to discuss practical applications of AI tools in their design workflow.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Proficiency in its advanced features like Design System management, components, design tokens, and auto-layouts is expected.

• AI Tools: Candidates are expected to be proficient in using modern AI tools for design assistance. Examples include Claude and ChatGPT, likely for ideation, content generation, research analysis, and workflow optimization.

• UX Research Tools: Experience with various tools for user interviews, usability testing (e.g., UserTesting.com, Maze), surveys (e.g., SurveyMonkey, Typeform), and data analysis platforms.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and product performance.

• Ability to interpret data to identify design opportunities and measure the impact of design changes. CRM & Automation:

• While not a primary tool for designers, an understanding of how design integrates with B2B platforms like CMS or CRM tools is beneficial.

• Awareness of workflow automation principles, especially as it relates to design processes and the use of AI tools.

📝 Enhancement Note: The explicit mention of "Figma (Design System, Components, Tokens, Auto-layout)" and "AI tools (e.g., Claude, ChatGPT)" indicates these are key technologies the candidate must be proficient with. The focus on AI tools suggests the company is integrating them broadly into their operations.

👥 Team Culture & Values

Operations Values:

• Innovation & Data-Driven Approach: RTB House's foundation in Deep Learning AI and performance marketing underscores a strong commitment to innovation and data-informed decision-making. Designers are expected to contribute with insights derived from research and analytics.

• Ownership & Independence: The role demands a high degree of independence and ownership, encouraging designers to take responsibility for features from conception to deployment and to proactively solve problems.

• Collaboration & Partnership: A "supportive, partner-driven, and mature culture" emphasizes teamwork, mutual respect, and effective collaboration, especially within cross-functional product teams.

• Efficiency & Optimization: The encouragement to "optimize your own daily workflow" and leverage AI tools highlights a value placed on efficiency and continuous improvement in processes and outputs.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be integral members of product teams, working seamlessly with engineers, product managers, and stakeholders to achieve shared goals.

• Feedback Exchange: A culture that likely encourages constructive feedback during design critiques, refinement sessions, and through design reviews to ensure high-quality outcomes.

• Knowledge Sharing: Given the remote setup, effective virtual knowledge sharing practices are crucial, possibly through shared documentation, internal wikis, or design system updates.

📝 Enhancement Note: The company's emphasis on "Deep Learning AI algorithms" and "performance" suggests that a results-oriented and analytical mindset is highly valued within the team culture. Designers are expected to contribute to measurable business outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Creating intuitive user interfaces for complex AdTech platforms with extensive data and functionality requires strong information architecture and problem-solving skills.

• Balancing Constraints: Effectively designing within technical, business, and system limitations while still delivering an excellent user experience.

• Leveraging AI: Fully integrating and optimizing the use of AI tools into a design workflow, ensuring they enhance rather than hinder creativity and efficiency.

• Remote Collaboration: Maintaining strong collaboration and communication within a distributed team environment requires proactive engagement and effective use of virtual tools.

Learning & Development Opportunities:

• AI in Design Mastery: Deepen expertise in utilizing cutting-edge AI tools for design, research analysis, and process automation, potentially becoming a subject matter expert within the company.

• AdTech Domain Expertise: Develop specialized knowledge in the AdTech industry, understanding the nuances of performance marketing, DSPs, and advertiser needs.

• Design System Evolution: Contribute to the growth and refinement of a comprehensive design system, gaining experience in scaling design patterns and ensuring consistency across a global product suite.

• Cross-functional Acumen: Enhance skills in collaborating with engineering and product management, understanding technical trade-offs and business drivers more deeply.

📝 Enhancement Note: The challenge of "Designing for Complexity" is amplified by the AdTech domain, which often involves intricate data visualization and campaign management tools. The growth opportunity in "AI in Design Mastery" directly aligns with the company's core technological focus.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B platform you designed. What were the main challenges, and how did you use data and research to inform your design decisions?" (Focus on end-to-end process, data utilization, and problem-solving.)

• "How have you leveraged AI tools in your design process? Provide a specific example of how AI helped you improve a workflow or a design outcome." (Prepare to detail practical applications of AI.)

• "Walk us through your process for collaborating with engineers and product managers on a feature from discovery to launch. How do you ensure effective handoffs and manage feedback?" (Highlight communication, collaboration, and process management.) Company & Culture Questions:

• "What interests you about RTB House and the AdTech industry, specifically our focus on Deep Learning AI?" (Research the company's mission, technology, and market position.)

• "How do you approach working in a fully remote environment? What strategies do you use to stay connected and collaborate effectively with your team?" (Showcase self-discipline, communication skills, and familiarity with remote work tools.)

• "How do you measure the success of your designs? Can you give an example of a design decision that had a measurable impact on user behavior or business metrics?" (Emphasize data-driven design and ROI.) Portfolio Presentation Strategy:

• Structured Storytelling: For each case study, clearly define the problem, your specific role, the research conducted, your design process and iterations, the rationale behind key decisions, and the final impact (with metrics if possible).

• Highlight AI Integration: Explicitly point out where and how you used AI tools in your workflow and the benefits derived.

• Demonstrate Visual Design & UX Skills: Showcase high-fidelity mockups and prototypes, and explain the UX principles behind your design choices.

• Showcase Collaboration: Briefly describe your interactions with development and product teams.

• Conciseness and Clarity: Be prepared to present your most impactful projects within the allotted time, focusing on key learnings and outcomes.

📝 Enhancement Note: The strong emphasis on AI tools in the job description means interviewers will likely probe deeply into a candidate's practical experience and understanding of these technologies in a design context. Preparing specific examples will be crucial.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided greenhouse.io link.

• Portfolio Customization: Ensure your portfolio prominently features projects demonstrating end-to-end product design, complex problem-solving, and your experience with design systems. Specifically highlight any projects where you leveraged AI tools in your design process.

• Resume Optimization: Tailor your resume to align with the requirements, emphasizing your years of experience in product teams, proficiency in Figma, UX research skills, and any AdTech or B2B platform experience. Integrate keywords like "Deep Learning," "AI Tools," "Figma," "Design System," and "UX Research."

• Interview Preparation: Practice articulating your design process, research methodologies, and how you collaborate. Be ready to present your portfolio case studies with a strong focus on impact and problem-solving, and prepare to discuss your experience with AI tools in design.

• Company Research: Thoroughly research RTB House, their AdTech platform, their use of Deep Learning AI, and their company culture. Understand their market position and the challenges their clients face.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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