Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Cirql One GmbH

Location: Bratislava, Region of Bratislava, Slovakia

Job Type: FULL_TIME

Category: Product Design / GTM Operations

Date Posted: March 31, 2026

Experience Level: 7+ Years (with 4+ years in B2B complex software)

Remote Status: On-site

🚀 Role Summary

• Lead the UI layer for an enterprise semantic intelligence platform, defining how complex data models, metrics, and governance rules are represented and navigated.

• Translate intricate business requirements and ambiguous data into scalable, user-friendly interaction patterns for both technical and business stakeholders.

• Drive product design end-to-end, collaborating directly with engineering and product teams from initial concept through to final product shipment.

• Design interfaces specifically for AI collaboration, enabling natural language exploration, structured reasoning, and governed outputs for enterprise users.

• Conduct rigorous user research and usability testing with enterprise customers, synthesizing findings into data-driven design decisions with clear, defensible rationale.

📝 Enhancement Note: While the primary role is Product Design, its focus on enterprise data, AI interpretation, and the "system of reason" implies a strong connection to GTM Operations and Revenue Operations by enabling clearer data understanding for business intelligence and AI-driven decision-making. The role requires designing systems that make enterprise data "legible" and "actionable at scale," which is a core challenge for operations teams.

📈 Primary Responsibilities

• Own and define the user interface layer for representing, versioning, and navigating semantic models, metrics, governance rules, and data lineage within the Cirql One platform.

• Develop and implement scalable interaction patterns and UI components that effectively translate complex enterprise data and ambiguous requirements into intuitive user experiences for data engineers and business stakeholders.

• Partner directly with engineering and product management throughout the entire product development lifecycle, from ideation and concept development to final implementation and launch, ensuring seamless integration of design.

• Design user-centric interfaces that facilitate effective collaboration between humans and AI, supporting natural language queries, structured reasoning processes, and the generation of governed, reliable outputs.

• Execute end-to-end user research, including customer interviews, contextual inquiries, and usability testing, to gather critical insights and translate them into actionable design decisions with well-articulated rationale.

• Confidently articulate and defend design rationale to diverse audiences, including founders, engineers, and enterprise customers, ensuring alignment and buy-in across technical and non-technical contexts.

• Contribute to the development of design systems and style guides that ensure consistency, scalability, and maintainability across the platform's user interfaces.

• Proactively identify opportunities for design innovation and process improvement, leveraging user feedback and industry best practices to enhance the product's usability and effectiveness.

📝 Enhancement Note: The emphasis on "semantic models," "metrics," "governance rules," and "data lineage" strongly suggests a need for robust documentation and reporting capabilities within the designed interfaces. This role will likely involve designing dashboards, configuration interfaces, and visualization tools that are critical for Sales Operations, Revenue Operations, and GTM Strategy teams to understand and leverage data effectively.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 7 years of professional product design experience.

Required Skills:

• Enterprise Design Depth: Proven ability to design for complex B2B software environments, understanding the nuances of enterprise-level data management and user workflows.

• Systems Thinking: Demonstrated capacity to hold a large design vision, design coherent patterns at scale, and decompose complex systems into manageable, shippable components without losing the overall thread.

• End-to-End Design Process: Strong portfolio showcasing comprehensive experience from problem framing and user research through interaction design, prototyping, and high-fidelity execution on challenging problems.

• AI-First Design: Fluency in designing for AI collaboration, including experience with natural language interfaces, agentic workflows, and building interfaces where humans and AI work together on complex tasks.

• Collaborative Partnership: Track record of working closely and effectively with engineering teams throughout the build cycle, fostering a collaborative environment that elevates the entire team's output.

• Clear Communication: Excellent ability to articulate design rationale precisely and persuasively to both technical engineering teams and non-technical stakeholders, adept at receiving and integrating feedback.

• User Research & Synthesis: Proficient in conducting user research (interviews, usability testing) and synthesizing findings into actionable design decisions.

• Prototyping & Visualization Tools: Proficiency in industry-standard design and prototyping tools (e.g., Figma, Sketch, Adobe XD) and experience with data visualization techniques.

Preferred Skills:

• Background in data visualization, dashboard design, or designing developer-facing tools.

• Experience designing natural language processing (NLP) interfaces or AI-assisted user experiences.

• Familiarity with enterprise data structures, semantic modeling concepts, or business intelligence platforms.

📝 Enhancement Note: The "AI-first by default" requirement, coupled with experience in "developer tools" and "data platforms," indicates a need for designers who can bridge the gap between complex technical concepts and user-friendly interfaces. This is highly relevant for operations roles that rely on underlying data infrastructure and AI capabilities for insights and automation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in complex B2B software projects, from initial problem discovery and user research to final design execution and impact.

• Problem Framing: Clearly articulate the business problem, user needs, and technical constraints that informed your design decisions.

• Interaction Design: Demonstrate sophisticated interaction design skills, particularly for complex data manipulation, visualization, or configuration interfaces.

• High-Fidelity Execution: Provide high-fidelity mockups and interactive prototypes that illustrate the proposed solutions and their user flows.

• Design Rationale: Clearly explain the "why" behind your design choices, supported by user research, data, and strategic considerations.

• AI Collaboration Focus: Include examples of designing interfaces where humans and AI collaborate, or where AI assists in complex tasks.

Process Documentation:

• Highlight your process for conducting user research, synthesizing findings, and translating them into design specifications.

• Detail your approach to working collaboratively with engineering and product teams, emphasizing communication and iteration throughout the development lifecycle.

• Demonstrate how you handle ambiguity and translate complex requirements into scalable design solutions.

• Showcase your experience with iterative design and usability testing, including how you incorporate feedback.

📝 Enhancement Note: For operations professionals, a portfolio that demonstrates an understanding of data flow, system integration, and the impact of design on operational efficiency and decision-making would be highly beneficial, even if not explicitly requested. Highlighting how designs support data accuracy, reporting, and AI-driven automation would resonate strongly.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Compensation: Fair and attractive pay reflecting the seniority and impact of the role, designed to attract top talent.

• Stock Options/Equity: Potential for equity participation in a growing company, offering long-term financial upside.

• Comprehensive Health Insurance: Coverage for medical, dental, and vision, ensuring employee well-being.

• Professional Development: Opportunities for continuous learning, including access to training, conferences, and workshops relevant to product design and AI.

• Generous Paid Time Off: Ample vacation days, public holidays, and sick leave to support work-life balance.

• Full Transparency: Access to company-wide updates on business performance, strategy, and development roadmaps, fostering an informed and engaged workforce.

• Team Investment: A culture where team members are deeply invested in the company's mission and committed to high-quality work.

Working Hours:

• Standard full-time working hours are typically around 40 hours per week. While the role is on-site, the company emphasizes a collaborative environment that may offer some flexibility around daily start and end times, subject to team and project needs.

📝 Enhancement Note: The salary estimate is based on publicly available data for senior design roles in Bratislava and the tech industry, adjusted for the specialized nature of enterprise AI and B2B software. Benefits are inferred from typical offerings for startups and growth-stage companies in similar markets, with a focus on employee well-being and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software / AI / Data Intelligence

Company Size: Small to Medium (Startup/Growth Stage) - Likely between 20-100 employees based on the description of "scaling deliberately" and "ground floor" opportunities.

Founded: Cirql One GmbH was founded by individuals with deep experience in enterprise environments, particularly SAP. The company is built on the conviction that explicit business meaning is crucial before AI can truly scale within enterprises.

Team Structure:

• The design team is likely small and integrated directly into product development pods, working closely with engineering and product managers.

• Reporting structure will probably be to a Head of Product or a Design Lead, with significant autonomy for senior members.

Methodology:

• Data-Driven Design: Emphasis on user research, usability testing, and data synthesis to inform design decisions.

• Iterative Development: A commitment to shipping end-to-end, working with engineering through the build cycle, and iterating based on feedback.

• AI Integration: A core focus on designing for human-AI collaboration and integrating AI capabilities into user workflows.

• Mission-Oriented: The team is deeply invested in solving a significant enterprise data problem, fostering a strong sense of purpose and shared mission.

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

📝 Enhancement Note: The company's focus on "enterprise semantic intelligence" and connecting "enterprise data to AI" positions it at the intersection of data infrastructure, AI, and business operations. This implies a culture that values deep technical understanding, strategic problem-solving, and the ability to translate complex concepts into actionable solutions.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC) in Product Design. This role is critical for shaping the foundational user experience of a novel enterprise AI platform.

Reporting Structure:

Operations Impact:

• The design of the Cirql One platform directly impacts how effectively enterprise users (including those in operations roles) can understand, govern, and leverage their data with AI.

• By making business meaning explicit and actionable, the platform, and by extension the designer's work, aims to improve the efficiency, accuracy, and strategic value derived from enterprise data by AI systems and human operators.

Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for complex data platforms, AI interfaces, and enterprise semantic technologies.

• Leadership Potential: Opportunity to become a design lead or principal designer as the company scales, mentoring junior designers and shaping design strategy.

• Cross-Functional Influence: Gain significant experience influencing product strategy and engineering decisions through strong design advocacy.

• Industry Impact: Play a key role in defining the future of enterprise AI and data intelligence, shaping how businesses interact with their critical data.

• Startup Equity: Potential for substantial financial growth through equity in a rapidly scaling company.

📝 Enhancement Note: The role offers a unique opportunity to be at the forefront of enterprise AI, translating complex data and AI concepts into usable interfaces. For individuals interested in the operational impact of technology, this role provides a direct line of sight into how AI and data intelligence can transform business processes.

🌐 Work Environment

Office Type: Likely a modern, collaborative office space designed to foster creativity and teamwork, typical of a growth-stage tech company.

Office Location(s): Bratislava, Slovakia. The office will serve as the central hub for on-site collaboration.

Workspace Context:

• Collaborative Environment: Designed to encourage spontaneous interactions, brainstorming sessions, and close partnership between design, product, and engineering.

• Tooling & Technology: Access to state-of-the-art design and prototyping tools, as well as the necessary infrastructure for user research and testing.

• Team Interaction: Frequent opportunities for direct engagement with founders, engineers, and fellow designers, fostering a shared sense of ownership and rapid feedback loops.

• Focus on Craft: An environment that values deep work and attention to detail, with a commitment to high-quality design output.

Work Schedule:

• While the role is on-site, the company appears to value a results-oriented culture. Standard working hours will apply, with potential for flexibility in daily scheduling, provided project milestones and collaborative needs are met. The emphasis will be on delivering high-quality work and contributing effectively to the team's goals.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which can be highly beneficial for complex design challenges and rapid iteration. This environment is ideal for designers who thrive on close teamwork and direct communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications, cultural fit, and understanding of the role's core mission.

• Portfolio Review & Design Exercise: A deep dive into your portfolio, focusing on end-to-end case studies and your approach to complex problems. This may be followed by a take-home design challenge or an on-site whiteboarding session to assess problem-solving skills, design thinking, and ability to articulate rationale.

• Technical/Team Interviews: Interviews with engineering leads, product managers, and potentially other designers to evaluate technical understanding, collaboration skills, and alignment with team methodologies.

• Founder/Leadership Interview: A final discussion with company founders to assess strategic alignment, passion for the mission, and overall fit within the company culture.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most relevant and impactful B2B/enterprise software projects. Prioritize those that demonstrate your ability to handle complexity, data, and AI-driven features.

• Tell a Story: Structure each case study as a narrative: problem, your role, process, challenges, solutions, and outcomes/impact. Use visuals effectively to guide the viewer.

• Highlight Rationale: Clearly explain why you made specific design decisions, referencing user research, data, or strategic goals.

• Show, Don't Just Tell: Include high-fidelity mockups and interactive prototypes. If possible, show how your designs led to tangible improvements or solved critical business problems.

• Address AI/Data: Explicitly discuss any experience designing for AI collaboration, natural language interfaces, data visualization, or complex data platforms.

• Be Prepared to Discuss: Know your portfolio inside and out and be ready to discuss every decision and detail.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with enterprise data, AI concepts, semantic intelligence, and the challenges of integrating AI into large organizations (e.g., SAP environments).

• Practice Problem-Solving: Be ready to approach ambiguous problems, break them down, and articulate your thought process clearly.

• Design for Constraints: Anticipate that design challenges might involve technical or business constraints.

• Communicate Clearly: Practice articulating your design decisions and rationale concisely and persuasively, as if presenting to engineers and non-technical stakeholders.

📝 Enhancement Note: The interview process strongly emphasizes practical application, strategic thinking, and communication. A portfolio that clearly demonstrates experience with complex B2B software, data, and AI, along with the ability to articulate design rationale, will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly likely given industry standard and collaborative focus), Sketch, Adobe Creative Suite (Illustrator, Photoshop).

• User Research & Testing: Tools like UserTesting.com, Maze, Lookback, or internal methods for conducting remote and in-person research.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello (for tracking design tasks and communicating with engineering).

• Whiteboarding & Ideation: Miro, Mural, or physical whiteboards for collaborative sessions.

Analytics & Reporting:

CRM & Automation:

• Familiarity with enterprise CRM systems (e.g., Salesforce) and automation platforms is advantageous for understanding the context of enterprise data and user workflows.

📝 Enhancement Note: Proficiency in modern design tools like Figma is essential. The ability to design interfaces that facilitate data analysis, reporting, and AI-driven insights is paramount, even if the designer doesn't directly use the analytics platforms themselves. Understanding the ecosystem of enterprise software, including CRMs and ERPs like SAP, is a significant plus.

👥 Team Culture & Values

Operations Values:

• Mission-Driven: A deep commitment to solving the critical problem of making enterprise data legible and actionable for AI.

• Craftsmanship: High value placed on design quality, attention to detail, and creating robust, scalable solutions.

• Collaboration: Strong emphasis on working closely with engineering and product, fostering a "no-handoff" culture where everyone contributes to the final product.

• Transparency: Open communication across the company, ensuring everyone is informed about business progress, challenges, and strategic direction.

• Impact-Focused: A desire to create tangible value for enterprise customers by enabling better data understanding and AI utilization.

• Continuous Learning: Encouragement to stay at the forefront of AI, design trends, and enterprise technology.

Collaboration Style:

• Integrated Teams: Designers are embedded within cross-functional product teams, working daily with engineers and product managers.

• Direct Communication: Emphasis on clear, concise, and frequent communication, with feedback loops built into the daily workflow.

• Shared Ownership: A sense that everyone on the team, including design, shares responsibility for the success of the product.

• Respect for Expertise: Valuing the unique contributions of each discipline (design, engineering, product) and fostering an environment where ideas can be shared and debated constructively.

📝 Enhancement Note: The culture appears highly conducive to individuals who enjoy being part of a focused, mission-driven team that values deep work, collaboration, and direct impact. The emphasis on transparency and shared ownership suggests a flat, agile organizational structure.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Extreme Complexity: The primary challenge will be designing intuitive interfaces for highly complex enterprise data structures, semantic models, and AI reasoning processes, which are currently opaque to most users.

• Bridging Human & AI: Creating effective interfaces for human-AI collaboration requires a deep understanding of both human cognition and AI capabilities and limitations.

• Enterprise User Needs: Balancing the diverse needs of technical users (data engineers) and business stakeholders within large enterprises.

• Defining a New Category: As Cirql One is building a "foundational layer" and a "system of reason," the designer will be instrumental in defining the language, patterns, and user experiences for this novel technology category.

• Rapid Scaling: Adapting design systems and processes to support rapid company and product growth.

Learning & Development Opportunities:

• Deep Domain Expertise: Become a leading expert in enterprise semantic intelligence, AI integration, and data visualization for complex B2B applications.

• Cutting-Edge AI Design: Gain hands-on experience shaping interfaces for generative AI and agentic workflows in a real-world enterprise context.

• Strategic Design Leadership: Opportunity to influence product strategy and contribute significantly to the company's direction as a senior member of the team.

• Mentorship: Potential to mentor junior designers and contribute to building out the design function as the company grows.

• Industry Recognition: Contribute to a product that could set new standards in enterprise AI and data intelligence.

📝 Enhancement Note: The challenges are significant but offer immense growth potential for designers passionate about solving hard problems at the intersection of data, AI, and enterprise business operations.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an interface to represent and navigate complex semantic models and governance rules for enterprise data?"

  • Preparation: Focus on breaking down the problem, considering different user personas (data engineers vs. business analysts), exploring visualization techniques for relationships and lineage, and discussing iterative feedback loops.

• "Describe a time you designed an interface for AI collaboration or an AI-assisted workflow. What were the key challenges and how did you address them?"

  • Preparation: Prepare a detailed case study from your portfolio. Emphasize how you balanced user control with AI automation, managed user expectations, and ensured AI outputs were understandable and actionable.

• "How do you ensure your design decisions are grounded in user needs and business objectives, especially when dealing with highly technical B2B software?"

Company & Culture Questions:

• "Why are you interested in Cirql One's mission to build an enterprise semantic intelligence layer?"

  • Preparation: Research the company's website and mission statement thoroughly. Articulate your understanding of the problem they are solving (e.g., the challenge of AI in enterprise data) and why it resonates with you.

• "How do you approach collaboration with engineering teams, especially in a 'no-handoff' environment?"

  • Preparation: Share examples of your collaborative process, emphasizing proactive communication, shared understanding of requirements, and iterative feedback throughout the build.

• "How would you contribute to a culture that values craftsmanship and transparency?"

Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the problem, your specific role, the process you followed, the design solutions, and most importantly, the outcome or impact of your work. Quantify results where possible.

• Showcase Your Process: Walk through your thinking – from initial research and ideation to iteration and final delivery. Explain why you made key decisions.

• Highlight B2B & Complexity: Emphasize projects involving complex data, enterprise workflows, or technical users. If you have AI-related designs, make sure to showcase them prominently.

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

• Discuss Your Role: Be clear about your specific contributions, especially if you worked in a team.

📝 Enhancement Note: Thorough preparation, focusing on the specific demands of enterprise B2B software, AI collaboration, and data complexity, will be key. Demonstrating a strong understanding of Cirql One's mission and culture will also be critical.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on join.com.

• Portfolio Customization: Tailor your resume and cover letter to highlight your experience in complex B2B software, data platforms, AI interfaces, and end-to-end design processes. Ensure your portfolio is easily accessible and showcases relevant case studies.

• Resume Optimization: Clearly articulate your years of experience, specific skills (e.g., systems thinking, AI design, user research), and quantifiable achievements in previous roles. Use keywords from the job description.

• Interview Preparation: Practice articulating your design rationale, preparing detailed case study walk-throughs, and researching Cirql One's mission, product, and company culture. Be ready to discuss your approach to complex problems and collaborative work.

• Company Research: Deeply understand Cirql One's vision, the problem they are solving (enterprise data and AI), and their target market. This will enable you to ask informed questions 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.