Senior Product Designer (Technical & UX)

📍 Job Overview

Job Title: Senior Product Designer (Technical & UX)
Company: Cast AI
Location: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Ukraine
Job Type: Full-Time
Category: Product Design / User Experience
Date Posted: May 20, 2026
Experience Level: 5-10 Years
Remote Status: Remote OK

🚀 Role Summary

• Focus on designing intuitive user experiences for complex, data-heavy SaaS platforms, particularly in the cloud-native and AI infrastructure space.
• Drive product strategy and user research, translating technical concepts and user needs into effective design solutions.
• Collaborate closely with engineering and product teams, leveraging AI-assisted design workflows to enhance efficiency and innovation.
• Contribute to a fast-paced, remote-first environment with a global team of cloud experts and innovators.

📝 Enhancement Note: The role emphasizes a unique blend of technical understanding and UX design, requiring a candidate who can bridge the gap between complex backend infrastructure and user-friendly interfaces, especially for a DevOps and engineering audience.

📈 Primary Responsibilities

• Develop a deep understanding of Cast AI's product and the cloud-native infrastructure market to identify user pain points and opportunities for design improvement.
• Lead the entire design process from user research, persona development, and journey mapping to wireframing, prototyping, visual design, and usability testing.
• Craft compelling user experiences for data visualization tools and complex technical dashboards, ensuring clarity and efficiency for users.
• Collaborate effectively with product managers and engineers to define product requirements, explore design solutions, and ensure feasibility and technical accuracy.
• Champion user-centric design principles by advocating for user needs based on research insights and feedback throughout the development lifecycle.
• Continuously explore and integrate AI-assisted design workflows to optimize the design process and stay ahead of industry trends.
• Provide and solicit constructive feedback from design peers, engineering, product, and sales teams to foster a culture of continuous improvement.
• Contribute to product strategy by translating technical complexities of Kubernetes, cloud cost optimization, and AI infrastructure into accessible and actionable user interfaces.

📝 Enhancement Note: Responsibilities highlight a hands-on approach to design, requiring leadership in research and a strong ability to translate highly technical concepts into practical design solutions, reflecting a senior-level contribution to product development.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often beneficial for understanding technical concepts.

Experience: 5-10 years of professional experience in Product Design or UX Design, with a significant portion focused on SaaS platforms, data visualization, or complex technical applications.

Required Skills:

• Portfolio: A robust portfolio or case study demonstrating design work for SaaS platforms, data visualization tools, or similar data-intensive applications is essential.
• Design Process Mastery: Proven experience across the full design lifecycle, including user research, wireframing, prototyping, visual design, and usability testing.
• Technical Acumen: High curiosity about technology; ability to understand APIs, work effectively with developers, and articulate design decisions to technical stakeholders.
• AI-Assisted Design: Experience leveraging AI tools and workflows in the design process.
• Problem-Solving: Ability to identify user problems within complex systems and craft effective, user-centered solutions.
• Collaboration: Strong communication and interpersonal skills for effective teamwork with cross-functional teams (design, engineering, product, sales).
• Agility: Ability to thrive in a fast-paced environment and adapt to evolving project requirements and deadlines.

Preferred Skills:

• Domain Expertise: Experience designing for developer tooling, infrastructure, or cloud platforms.
• Industry Familiarity: Knowledge of Kubernetes concepts or cloud cost optimization workflows.
• Visual Design: Strong visual design skills with an eye for detail and aesthetics.
• User Advocacy: Experience in conducting user research and creating user personas and journey maps.

📝 Enhancement Note: The emphasis on technical curiosity and comfort with APIs suggests a need for a designer who can quickly grasp complex technical concepts and communicate them effectively to both technical teams and end-users, a critical skill for senior roles in specialized tech companies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• SaaS & Data-Heavy Applications: Showcase a minimum of 2-3 detailed case studies focusing on SaaS platforms, data visualization tools, or applications with similar data complexity.
• End-to-End Design Process: Clearly illustrate your involvement in all stages of the design process, from initial user research and problem definition to final visual design and testing.
• Technical Problem-Solving: Include examples where you translated complex technical requirements or APIs into intuitive user interfaces.
• AI Integration: Highlight any use of AI tools or AI-assisted workflows within your design process.
• Impact & Metrics: Quantify the impact of your design solutions where possible, using metrics related to user engagement, efficiency gains, or conversion rates.

Process Documentation:

• User Research & Insights: Provide evidence of thorough user research methodologies (interviews, surveys, usability tests) and how these insights informed design decisions.
• Wireframing & Prototyping: Demonstrate clear, well-structured wireframes and interactive prototypes that effectively communicate user flows and interface logic.
• Visual Design & UI: Showcase high-fidelity mockups and style guides that reflect strong visual design principles and brand consistency.
• Iterative Design: Illustrate how you iterated on designs based on feedback and testing to achieve optimal outcomes.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing not just aesthetic design but also the candidate's ability to navigate technical complexity, conduct rigorous research, and demonstrate measurable impact, aligning with the senior nature of the role and the technical domain of Cast AI.

💵 Compensation & Benefits

Salary Range: €4,000 - €6,500 gross per month. This range is provided as a guideline and will depend on the candidate's experience level and specific qualifications.

Benefits:

• Equity Options: Opportunity to own a stake in the company's growth and success.
• Flexible Remote Work: A remote-first global environment allowing for work from anywhere within the specified European countries.
• Learning & Development: A dedicated learning budget for professional and personal growth, including access to international conferences and courses.
• Professional Growth: 10% of work time allocated for personal projects or self-improvement initiatives.
• Innovation: Participation in an annual hackathon to foster new ideas and collaboration.
• Team Cohesion: Access to a team-building budget and company events for networking and strengthening relationships.
• Workstation: An equipment budget to ensure you have the necessary tools for productivity.
• Work-Life Balance: Additional days off to support personal well-being and prevent burnout.

Working Hours: Standard full-time working hours (approximately 40 hours per week), with flexibility inherent in a remote-first global environment. The fast-paced workflow means most feature projects are completed within 1-4 weeks, indicating a dynamic work schedule.

📝 Enhancement Note: The salary range is competitive for senior design roles in the specified European regions, particularly for remote positions. The comprehensive benefits package, including equity and a significant learning budget, underscores Cast AI's investment in employee growth and well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Infrastructure Automation, AI, Kubernetes, DevOps. Cast AI operates in a rapidly evolving sector focused on optimizing cloud-native environments using AI and automation. Company Size: Cast AI has achieved unicorn status, indicating significant growth and a substantial employee base, likely in the hundreds, with a global presence. This size suggests a dynamic environment with opportunities for impact but also requires structured processes. Founded: Cast AI was founded with a vision to automate and optimize cloud infrastructure, evolving into a leading platform for Kubernetes and AI environments, now valued at over $1 billion.

Team Structure:

• Flat Hierarchy: The company promotes open collaboration in a flat structure, empowering individuals to contribute directly to key product components.
• Global & Diverse: Cast AI operates across 34 countries, fostering a diverse team with a wide range of perspectives, contributing to innovative problem-solving.
• Cross-Functional Collaboration: Designers work closely with product managers, engineers, sales, and other designers, emphasizing a collaborative and integrated approach to product development.

Methodology:

• AI-Driven Automation: The core of Cast AI's offering is AI-driven automation for cloud infrastructure, influencing its internal processes and product design.
• Agile Development: The rapid project completion times (1-4 weeks for features) suggest an agile development methodology.
• User-Centric Design: Emphasis on user research and insights to drive design decisions, ensuring solutions meet the needs of DevOps and engineering professionals.

Company Website: https://cast.ai/

📝 Enhancement Note: Cast AI's culture is characterized by its innovative, tech-forward approach, global reach, and a commitment to empowering its employees within a flat organizational structure. This environment is ideal for proactive individuals who thrive on technical challenges and collaborative problem-solving.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This role is positioned as a key contributor, expected to lead significant design initiatives, mentor junior team members (implicitly), and influence product strategy. It requires a high degree of autonomy and technical understanding. Reporting Structure: While the company emphasizes a flat structure, a Senior Product Designer would typically report to a Head of Product Design, Design Lead, or Product Manager, with close daily interaction with engineering and product teams. Operations Impact: The Senior Product Designer's work directly impacts the usability and efficiency of Cast AI's platform, which is critical for its target audience of DevOps and engineers. Successful design translates into improved customer adoption, retention, and satisfaction, directly contributing to revenue and market position.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cloud infrastructure, Kubernetes, AI, and data visualization design, becoming a go-to expert in these niche areas.
• Leadership Potential: Transition into a Lead Designer role, managing a team or taking ownership of larger product areas, potentially progressing to Head of Design.
• Product Strategy Influence: With proven impact, gain more influence in product roadmap decisions and strategic planning.
• Cross-functional Expertise: Develop a strong understanding of business operations, sales, and engineering processes, broadening career options within the tech industry.
• Skill Enhancement: Utilize the learning budget and 10% personal project time for advanced training in AI, new design methodologies, or emerging technologies.

📝 Enhancement Note: The Senior Product Designer role at Cast AI offers significant potential for both technical and design leadership growth. The company's rapid growth and focus on innovation provide a fertile ground for individuals looking to make a substantial impact and advance their careers in specialized tech domains.

🌐 Work Environment

Office Type: Remote-first global environment. Cast AI operates without a central physical office, enabling employees to work from their chosen locations within the approved countries. Office Location(s): The role is open to candidates residing and legally authorized to work in Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

Workspace Context:

• Flexibility: A high degree of autonomy over work location and schedule within the defined regions.
• Technology Focused: Access to an equipment budget ensures a well-equipped home office setup, crucial for productivity in a remote setting.
• Collaborative Tools: Reliance on digital collaboration tools (e.g., Slack, Figma, Jira, video conferencing) to maintain connection and facilitate teamwork across time zones.
• Global Team Interaction: Opportunities to connect and collaborate with a diverse international team through virtual meetings and company-sponsored events.

Work Schedule: While the role is full-time, the remote-first nature and focus on rapid project completion suggest a degree of flexibility. However, effective collaboration with global teams will require some alignment with core working hours and responsiveness.

📝 Enhancement Note: The remote-first nature of Cast AI is a core aspect of its work environment. Candidates should be self-motivated, adept at asynchronous and synchronous communication, and comfortable managing their workspace and schedule independently.

📄 Application & Portfolio Review Process

Interview Process:

• Screening Call: An initial conversation to assess basic qualifications, cultural fit, and interest in the role and Cast AI.
• Home Assignment: A practical design task to evaluate your skills in problem-solving, design thinking, and execution. This might involve a mini case study or a specific design challenge related to the product.
• Hiring Manager Interview: A deeper dive into your experience, design philosophy, and how you approach complex technical challenges.
• Case Study + Workshop: Presentation of your home assignment or a dedicated case study, followed by a collaborative workshop session with the hiring manager or design team to assess your problem-solving and collaboration skills in real-time.
• Culture Check Interview: A final conversation with an executive to ensure alignment with Cast AI's values, mission, and collaborative culture.

Portfolio Review Tips:

• Tell a Story: Structure your case studies to narrate the design journey: the problem, your approach, your role, the solutions, and the impact.
• Highlight Technical Understanding: Explicitly demonstrate how you tackled technical complexities, understood APIs, or designed for a developer audience. Use annotations or specific sections to explain technical considerations.
• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes) effectively. Embed interactive prototypes where possible.
• Quantify Impact: Whenever possible, include metrics or user feedback that demonstrates the success of your designs. If direct metrics are unavailable, discuss how you would measure success.
• AI Integration Clarity: Clearly explain the role of AI in your workflow and the benefits it brought to the design process.
• Tailor to Cast AI: Emphasize projects that align with SaaS, data visualization, or complex technical platforms. Reference your understanding of Kubernetes or cloud cost optimization if applicable.

Challenge Preparation:

• Understand the Domain: Research Cast AI's product, its competitors, and the broader cloud infrastructure/DevOps landscape. Familiarize yourself with Kubernetes and cloud cost optimization concepts.
• Practice Design Challenges: Be ready to tackle a design problem under timed conditions. Focus on your process: understanding the brief, asking clarifying questions, defining scope, ideating, and presenting a solution.
• Articulate Technical Decisions: Prepare to explain your design choices in the context of technical constraints and user needs, especially for a technical audience.

📝 Enhancement Note: The interview process is multi-stage and rigorous, designed to assess both design proficiency and technical aptitude. A well-prepared portfolio that clearly articulates technical challenges and solutions is paramount for success.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma is a standard industry tool for collaborative design, wireframing, and prototyping, highly likely to be used at Cast AI.
• User Research Platforms: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Maze, SurveyMonkey).
• Project Management & Collaboration: Tools like Jira, Asana, or Trello for task management and workflow tracking. Slack for real-time communication.

Analytics & Reporting:

• Product Analytics: Tools such as Amplitude, Mixpanel, or Google Analytics to track user behavior within the platform and inform design decisions.
• Data Visualization Libraries/Tools: Familiarity with how data is presented visually, potentially involving tools like D3.js or specific BI platforms if the design involves custom dashboards.

CRM & Automation:

• CRM System: While not directly a design tool, understanding how CRM data (e.g., Salesforce, HubSpot) might inform user segmentation or feature prioritization can be beneficial.
• AI-Assisted Design Tools: Proficiency in AI tools that augment the design process, such as AI-powered image generators, content assistants, or workflow optimizers.

📝 Enhancement Note: While specific tools are not explicitly listed, the role's requirements suggest proficiency in industry-standard design software (like Figma) and a strong understanding of how to leverage data analytics and AI to inform and enhance the design process for technical products.

👥 Team Culture & Values

Operations Values:

• Innovation & Automation: A core value is pushing the boundaries of what's possible with AI and automation in cloud infrastructure. This translates to a culture that embraces new ideas and efficient workflows.
• Technical Excellence: A deep appreciation for robust engineering and well-architected systems, requiring designers to have a solid understanding of the underlying technology.
• User-Centricity: Despite the technical focus, there's a strong emphasis on understanding and serving the needs of developers and DevOps professionals, ensuring the platform is both powerful and usable.
• Global Collaboration: Valuing diverse perspectives and fostering an inclusive environment where team members from different backgrounds can contribute effectively.
• Agility & Speed: A culture that moves quickly, iterates rapidly, and adapts to the fast-changing market dynamics of the cloud and AI industries.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to be deeply integrated with engineering and product teams, participating actively in planning and development cycles.
• Open Feedback Culture: Encouraging constructive feedback exchange among designers and with other departments to drive continuous improvement in both product and process.
• Knowledge Sharing: A proactive approach to sharing learnings, best practices, and insights, especially regarding new AI workflows or technical design challenges.
• Proactive Problem Solving: Team members are encouraged to identify issues and propose solutions independently, rather than waiting for direction.

📝 Enhancement Note: Cast AI's culture values proactive, technically-minded individuals who can thrive in a fast-paced, collaborative, and globally distributed environment. The emphasis on innovation and user-centricity for a technical audience is key.

⚡ Challenges & Growth Opportunities

Challenges:

• Technical Complexity: Designing for advanced cloud infrastructure and AI concepts requires continuous learning and a deep dive into technical details, which can be challenging but also rewarding.
• Balancing Aesthetics and Functionality: Ensuring that highly technical interfaces are both visually appealing and extremely functional for a demanding user base.
• Rapidly Evolving Industry: Staying current with the fast pace of change in cloud computing, AI, and Kubernetes requires ongoing education and adaptability.
• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting across multiple time zones.

Learning & Development Opportunities:

• Deep Domain Expertise: Opportunity to become a recognized expert in designing for cloud-native technologies, AI infrastructure, and Kubernetes.
• AI Workflow Mastery: Gaining hands-on experience and leadership in applying AI tools to the product design process.
• Cross-Functional Leadership: Developing skills in product strategy, technical communication, and influencing engineering decisions.
• Industry Exposure: Access to international conferences and courses funded by the learning budget to stay at the forefront of design and technology trends.
• Mentorship: Potential to learn from experienced engineers and product leaders within a fast-growing tech company.

📝 Enhancement Note: The challenges presented are typical for senior roles in cutting-edge tech companies. Cast AI actively supports overcoming these challenges through its growth opportunities, learning budget, and focus on innovation.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly technical audience. What were the challenges, and how did you ensure usability and adoption?" (Focus on your process, understanding of technical constraints, and user research.)
• "How do you approach translating complex technical concepts (like Kubernetes or cloud cost optimization) into intuitive user interfaces?" (Emphasize your design thinking, simplification strategies, and visualization techniques.)
• "Walk us through a project where you significantly improved a user experience through iterative design and user feedback. What metrics did you track?" (Prepare a detailed case study highlighting your process, collaboration, and impact.)
• "How do you see AI evolving the product design landscape, and how have you incorporated AI into your workflows?" (Discuss your experience with AI design tools and your forward-thinking approach.)

Company & Culture Questions:

• "What interests you about Cast AI and our mission to automate cloud infrastructure?" (Research Cast AI's product, market position, and recent achievements like unicorn status.)
• "How do you handle receiving constructive criticism on your designs, especially from engineers?" (Highlight your collaborative spirit and ability to detach from personal attachment to designs.)
• "Describe your ideal remote work environment and how you ensure productivity and collaboration." (Showcase your self-management skills and understanding of remote team dynamics.)

Portfolio Presentation Strategy:

• Structure is Key: Organize your portfolio logically. For each case study, clearly define the problem, your role, the process, the solution, and the outcome/impact.
• Highlight Technical Depth: For technical products, explicitly detail your understanding of the underlying technology and how it influenced your design decisions. Use annotations on mockups to explain technical considerations.
• Showcase AI Integration: Dedicate a section or specific examples to demonstrating how you've used AI in your design process and the benefits derived.
• Quantify Impact: Be ready to discuss metrics, user feedback, or business outcomes related to your projects. If direct metrics are unavailable, discuss how you would measure success and what you learned.
• Engage and Discuss: Treat the presentation as a conversation. Be prepared to answer in-depth questions about your process, decisions, and challenges.

📝 Enhancement Note: Preparation should focus not only on design skills but also on technical understanding and the ability to articulate complex concepts clearly. The case study and workshop are critical evaluation points.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on the Cast AI careers page.
• Portfolio Customization: Ensure your portfolio prominently features case studies relevant to SaaS platforms, data visualization, or complex technical applications. Tailor your case study descriptions to highlight your technical curiosity and experience with complex systems.
• Resume Optimization: Update your resume to emphasize achievements in user research, end-to-end design process, technical stakeholder communication, and experience with AI-assisted design workflows. Use keywords from the job description.
• Interview Preparation: Practice articulating your design process, technical understanding, and how you measure design impact. Prepare to discuss your portfolio in detail and present your home assignment/case study effectively.
• Company Research: Thoroughly research Cast AI's product, target market, and company ethos. Understand their competitive landscape and how their technology addresses key challenges for DevOps and engineers.

⚠️ 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.