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 / UX/UI

Date Posted: April 27, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• This role focuses on transforming and scaling a complex technical product, ensuring exceptional user experiences for a sophisticated user base of DevOps and engineers.

• The position requires a deep understanding of SaaS platforms and data visualization, with a strong emphasis on technical awareness and the ability to translate complex backend systems into intuitive frontend designs.

• Candidates will be instrumental in driving user research, defining user problems, and crafting effective solutions within a fast-paced, agile environment.

• This is a remote-first position, requiring strong self-management and cross-functional collaboration skills across a global, flat organizational structure.

📝 Enhancement Note: While the job title is "Senior Product Designer," the description emphasizes "Technical & UX," indicating a blend of traditional UX/UI skills with a necessity for understanding backend systems, APIs, and the technical intricacies of cloud-native infrastructure. This is crucial for candidates to highlight in their applications and portfolios. The target audience appears to be experienced designers comfortable with technical concepts.

📈 Primary Responsibilities

• Conduct comprehensive user research to develop user personas, journey maps, and identify key pain points and opportunities within the Cast AI platform.

• Translate complex technical concepts and data into intuitive and visually appealing user interfaces and user experiences for a SaaS platform.

• Create detailed wireframes, prototypes, and high-fidelity visual designs, iterating based on user feedback and technical feasibility.

• Collaborate closely with product managers, engineers, and sales teams to define product requirements, design solutions, and ensure successful implementation.

• Continuously explore and integrate AI-assisted design workflows to enhance efficiency and innovation in the design process.

• Stay abreast of industry trends, particularly in cloud-native technologies, Kubernetes, and AI infrastructure, to inform design decisions and identify areas for improvement.

• Lead usability testing sessions to validate design solutions and gather actionable insights for product iteration.

• Advocate for the user throughout the product development lifecycle, ensuring design decisions are data-driven and user-centric.

• Contribute to the evolution of design systems and best practices within the product team.

📝 Enhancement Note: The responsibilities highlight a proactive and research-driven approach, emphasizing the need for designers to not just execute but also to deeply understand the product, its users, and the underlying technology. The mention of "responding agilely to evolving project requirements and tight deadlines" and "most feature projects are completed in 1 to 4 weeks" indicates a need for efficient workflow and rapid iteration.

🎓 Skills & Qualifications

Education:

Experience:

• 5-10 years of professional experience in Product Design, UX Design, or UI Design, with a significant focus on SaaS platforms and data-intensive applications.

Required Skills:

• Portfolio of Work: A strong portfolio showcasing design work for SaaS platforms, data visualization tools, or similar data-heavy applications is essential. This portfolio should demonstrate end-to-end design process capabilities.

• Technical Curiosity: Demonstrated ability to understand technical concepts, APIs, and backend systems, and to articulate design decisions to technical stakeholders.

• Design Process Proficiency: Expertise across all design phases, including user research, user journey mapping, wireframing, prototyping, visual design, and usability testing.

• AI-Assisted Design: Experience utilizing AI tools and workflows within the design process.

• Collaboration: Proven ability to work effectively in cross-functional teams (design, engineering, product, sales) and provide/seek constructive feedback.

• Agile Methodologies: Experience working in fast-paced, agile environments with tight deadlines and evolving requirements.

• Communication: Excellent verbal and written communication skills, capable of articulating complex design rationale clearly.

Preferred Skills:

• Experience designing for developer tooling, infrastructure management, or cloud platforms.

• Familiarity with Kubernetes concepts, cloud cost optimization workflows, or related technologies.

• Experience with modern design tools and collaboration platforms (e.g., Figma, Sketch, Adobe Creative Suite).

• Understanding of data analysis principles and how to visualize complex datasets effectively.

📝 Enhancement Note: The emphasis on "technical awareness" and "understanding APIs" is a key differentiator for this role, moving beyond purely aesthetic design. Candidates should highlight projects where they bridged the gap between technical complexity and user-friendliness.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• SaaS Platform Focus: Showcase projects that demonstrate expertise in designing complex SaaS applications, highlighting user flows, information architecture, and UI design.

• Data Visualization: Include examples of how you have effectively visualized complex data sets, dashboards, or analytical tools, demonstrating clarity and actionable insights.

• Technical Problem Solving: Present case studies where you tackled technically challenging design problems, illustrating your process for understanding backend logic and translating it into user-friendly interfaces.

• AI-Assisted Design Integration: Provide evidence of how AI tools were leveraged in your design workflow, whether for ideation, prototyping, or efficiency gains.

• End-to-End Design Process: Clearly articulate your role and contributions across all design phases, from initial user research and problem definition to final UI implementation and testing.

Process Documentation:

• User Research Methodology: Demonstrate a structured approach to user research, including methods used (interviews, surveys, usability testing), participant recruitment, and how insights were synthesized and applied to design decisions.

• Prototyping and Iteration: Showcase your ability to create interactive prototypes and iterate on designs based on feedback, user testing, and evolving project requirements.

• Cross-functional Collaboration: Illustrate how you have collaborated with engineering and product teams, detailing communication strategies, feedback loops, and design handoff processes.

• Impact Measurement: Where possible, demonstrate how your design solutions have contributed to key business metrics, such as user engagement, conversion rates, efficiency gains, or cost savings.

📝 Enhancement Note: The portfolio is paramount for this role. Candidates must be prepared to walk through their selected case studies, explaining not just the "what" but the "why" and "how" behind their design decisions, with a particular focus on technical considerations and user impact.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Salary: Gross monthly salary of €4,000 - €6,500.

• Equity Options: Opportunity to own a part of the company's growth.

• Flexible Remote-First Environment: Work from anywhere within the specified countries, with a focus on work-life balance.

• Learning Budget: Allocation for professional and personal development, including international conferences and courses.

• Equipment Budget: Financial support to acquire necessary work equipment.

• Annual Hackathon: Opportunity to participate in innovation-driven events.

• Team-Building Budget & Company Events: Resources to foster team cohesion and connection.

• Extra Days Off: Additional paid time off to support well-being.

• Fast-Paced Workflow: Experience rapid project completion cycles (1-4 weeks per feature).

• 10% Personal Project Time: Dedicated time for self-initiated projects or skill enhancement.

Working Hours:

• A standard 40-hour work week is expected, with flexibility inherent in the remote-first model. The emphasis is on output and collaboration rather than strict adherence to office hours, though responsiveness during core collaboration times will be important.

📝 Enhancement Note: The salary range provided is a gross monthly figure. Candidates should factor in local tax laws and deductions in their respective countries. The benefits package is robust, with a strong emphasis on professional development and work-life balance, which are attractive selling points for experienced remote professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud-Native Technologies, AI Infrastructure Automation, Kubernetes Management, FinOps (Cloud Financial Operations).

Company Size: Cast AI has achieved unicorn status, indicating a significant valuation and likely a mid-to-large-sized startup environment, with operations spanning 34 countries. This suggests a dynamic, growth-oriented culture.

Founded: While the founding date isn't explicitly provided, the company's recent unicorn status (January 2026) implies rapid growth and a relatively young but impactful company history.

Team Structure:

• Flat Structure: The company promotes a flat organizational hierarchy, encouraging open collaboration and direct communication across all levels.

• Global Team: Cast AI operates with a diverse, international team, bringing a wide range of perspectives to product development and company strategy.

• Cross-functional Collaboration: Designers work closely with Product Management, Engineering, Sales, and other departments, fostering a holistic approach to product development.

• Expertise Focus: The team comprises cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology.

Methodology:

• Agile Development: The company operates with a fast-paced workflow, with most feature projects completed in 1-4 weeks, indicating an agile or lean methodology.

• Data-Driven Decisions: Design decisions are expected to be based on user insights, research, and performance metrics.

• AI Integration: A core part of Cast AI's product and company ethos is the integration of AI for automation and optimization, which is also encouraged within design workflows.

• Continuous Improvement: The culture emphasizes learning, feedback, and adaptation to the rapidly evolving tech landscape.

Company Website: https://cast.ai/

📝 Enhancement Note: The "flat structure" and "global team" aspects mean that designers will likely have significant autonomy and direct access to stakeholders, but also require strong communication and self-management skills. The emphasis on AI and Kubernetes positions Cast AI at the forefront of cloud infrastructure innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer, indicating a level of expertise and autonomy beyond mid-level. It requires the ability to lead design initiatives, mentor junior designers (potentially), and influence product strategy. The "Technical & UX" aspect suggests a specialized track for designers interested in deeply technical domains.

Reporting Structure: While the structure is described as "flat," senior designers typically report to a Head of Design, Design Lead, or Product Lead. Direct interaction with engineers and product managers is expected to be high.

Operations Impact: Senior Product Designers at Cast AI are expected to have a significant impact on:

• Product Strategy: Influencing the product roadmap through user insights and technical design innovation.

• User Experience: Directly shaping the usability and effectiveness of the Cast AI platform for its core technical audience.

• Customer Acquisition & Retention: Creating intuitive and valuable experiences that attract and retain customers.

• Brand Perception: Contributing to a strong and user-friendly product that reflects the company's innovative image.

• Efficiency & Cost Optimization: Designing features that help users manage and optimize their cloud infrastructure costs, aligning with Cast AI's core mission.

Growth Opportunities:

• Technical Specialization: Deepen expertise in designing for cloud-native technologies, AI infrastructure, and developer tools, becoming a subject matter expert.

• Leadership Development: Potential to move into a Lead Designer or Design Manager role as the team grows, overseeing design strategy and mentoring other designers.

• Cross-functional Exposure: Gain in-depth understanding of product management, engineering challenges, and sales strategies within a high-growth tech company.

• Skill Expansion: Leverage the learning budget and personal project time to explore new design methodologies, AI tools, or related technical domains.

• Influence and Ownership: Take ownership of significant product areas and influence the direction of the company's user experience strategy.

📝 Enhancement Note: The "Senior" title, combined with the emphasis on technical depth and impact, suggests this is a role for experienced designers looking to make a significant contribution in a specialized, high-growth tech environment. The growth opportunities are tied to both design leadership and technical specialization.

🌐 Work Environment

Office Type: This is a fully remote position. Cast AI operates with a global, remote-first mindset, meaning there is no central office requirement for this role.

Office Location(s): While Cast AI is headquartered in Miami and operates globally, this specific role is restricted to candidates residing in Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

Workspace Context:

• Remote Collaboration Tools: Expect extensive use of digital collaboration tools (e.g., Slack, Zoom, Figma, project management software) to facilitate communication and teamwork across different time zones.

• Autonomy and Flexibility: The remote-first setup offers high levels of autonomy and flexibility in managing one's workday, provided project deadlines and collaboration needs are met.

• Global Team Interaction: Opportunities to connect and collaborate with colleagues from diverse cultural and professional backgrounds.

• Access to Technology: Use of company-provided equipment (via equipment budget) and access to cutting-edge design and development tools.

Work Schedule: While the core work is 40 hours per week, the remote nature allows for flexibility in scheduling. However, designers will need to be mindful of overlapping working hours for effective collaboration with team members in different time zones. The fast-paced nature means responsiveness and efficient time management are key.

📝 Enhancement Note: The fully remote nature is a significant factor. Candidates must be comfortable with asynchronous communication and self-directed work, while also being proactive in scheduling synchronous collaboration sessions when needed. The geographical restriction implies a focus on specific European time zones for easier overlap.

📄 Application & Portfolio Review Process

Interview Process:

1. Screening Call: An initial conversation to assess basic qualifications, cultural fit, and interest in the role.

2. Home Assignment: A practical design task to evaluate problem-solving skills, design thinking, and execution capabilities relevant to Cast AI's product.

3. Hiring Manager Interview: A deeper dive into experience, technical understanding, and alignment with the team's needs.

4. Case Study + Workshop: Presentation of a selected portfolio case study, followed by a collaborative workshop session to assess design process, technical reasoning, and problem-solving in real-time.

5. Culture Check Interview: A final conversation, likely with an executive, to assess alignment with Cast AI's values, culture, and long-term vision.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest projects that best showcase experience with SaaS platforms, data visualization, and technical challenges. Prioritize projects that align with

Cast AI's domain (cloud, AI, infrastructure).

• Structure Your Case Studies: For each project, clearly outline:

  • The Problem: What user or business problem were you solving?
  • Your Role: What were your specific responsibilities?
  • The Process: Detail your user research, ideation, wireframing, prototyping, and testing phases. Explain why you made certain decisions.
  • The Solution: Showcase the final design with clear visuals.
  • The Impact: Quantify results where possible (e.g., improved conversion, reduced task completion time, positive user feedback).

• Highlight Technical Acumen: Explicitly mention how you engaged with technical constraints, collaborated with developers, or understood complex systems. Use diagrams or explanations to illustrate technical integrations if relevant.

• Demonstrate AI Integration: If applicable, explain how AI tools were used in your workflow and the benefits derived.

• Be Ready to Discuss: Prepare to walk through your portfolio in detail during the interview, answering questions about your process, decisions, and rationale.

Challenge Preparation:

• Home Assignment: Treat this as a mini case study. Understand the prompt thoroughly, document your process, and present a well-reasoned solution, even if incomplete. Focus on demonstrating your approach.

• Case Study Presentation: Practice presenting your chosen case study concisely and engagingly. Be prepared to answer detailed questions about your design choices, trade-offs, and learnings.

• Workshop: Engage actively in the collaborative workshop. Listen carefully, contribute thoughtfully, and demonstrate your ability to think on your feet and collaborate effectively under pressure.

• Technical Readiness: Brush up on core concepts related to Kubernetes, cloud infrastructure, and AI if possible, to better understand the context of Cast AI's product and engage in discussions.

📝 Enhancement Note: The interview process is multi-stage and rigorous, with a strong emphasis on practical application (home assignment, case study, workshop) and technical understanding. The portfolio is the cornerstone of the application.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Proficiency in industry-standard tools such as Figma, Sketch, or Adobe XD is expected. Figma is often preferred for its collaborative features.

• User Research & Testing: Experience with tools like UserTesting.com, Maze, Lookback, or similar platforms for conducting usability studies and gathering feedback.

• Project Management & Collaboration: Familiarity with tools like Jira, Asana, Trello, or Monday.com for task tracking and workflow management.

• Communication: Slack, Microsoft Teams, or similar platforms for real-time team communication.

Analytics & Reporting:

• While not a direct analytics role, understanding how to interpret data from analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) to inform design decisions is beneficial.

CRM & Automation:

• Familiarity with CRM systems (e.g., Salesforce, HubSpot) might be useful for understanding sales workflows and customer data, though not a primary requirement for the design role.

• Understanding of workflow automation principles, even if not directly using automation tools for design, is valuable given the company's focus.

📝 Enhancement Note: The emphasis is on modern, collaborative design tools. Candidates should highlight their proficiency in Figma and any experience with tools used for user research and data analysis that inform design.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to constantly push technological boundaries and explore new solutions, particularly leveraging AI.

• Efficiency: A core value reflected in the product (optimizing cloud costs) and internal processes (fast-paced workflows, AI-assisted design).

• Collaboration: Open communication, cross-functional teamwork, and a flat structure that encourages contribution from all members.

• User-Centricity: A commitment to understanding and serving the needs of technical users (DevOps, engineers) through thoughtful design.

• Continuous Learning: Encouraging professional growth, exploration of new technologies, and adaptation to a rapidly evolving industry.

• Global Diversity: Valuing diverse perspectives and fostering an inclusive international team environment.

Collaboration Style:

• Proactive & Transparent: Expecting team members to communicate openly about progress, challenges, and ideas.

• Feedback-Oriented: A culture where giving and receiving constructive feedback is encouraged for continuous improvement.

• Cross-functional Integration: Seamless collaboration between design, engineering, product, and sales to ensure holistic product development.

• Agile & Iterative: Working in short cycles, with rapid feedback loops and a willingness to adapt designs based on new information.

📝 Enhancement Note: The culture values individuals who are proactive, collaborative, and eager to learn, especially within the technical domain of cloud infrastructure and AI. Designers should be prepared to work autonomously but also be highly engaged with their cross-functional peers.

⚡ Challenges & Growth Opportunities

Challenges:

• Technical Complexity: Designing intuitive interfaces for highly technical users and complex systems (Kubernetes, cloud infrastructure) requires a steep learning curve and continuous technical understanding.

• Fast-Paced Environment: Adapting to rapid project cycles (1-4 weeks) and evolving requirements demands efficiency, strong prioritization skills, and resilience.

• Global Collaboration: Effectively collaborating with team members across multiple time zones requires excellent communication and organizational skills.

• Staying Ahead of Technology: The rapid evolution of AI and cloud technologies necessitates continuous learning to maintain design relevance and innovation.

• Balancing Aesthetics and Functionality: Ensuring designs are not only visually appealing but also deeply functional and technically sound for a discerning technical audience.

Learning & Development Opportunities:

• Deep Technical Domain Expertise: Become an expert in designing for cloud-native, AI, and DevOps tools.

• AI in Design: Master AI-assisted design workflows and tools, becoming a leader in their application.

• Cross-functional Acumen: Gain a comprehensive understanding of engineering, product management, and go-to-market strategies in a high-growth tech company.

• Leadership Potential: Opportunities to take on lead roles, mentor junior designers, and influence product strategy as the company scales.

• Industry Exposure: Access to international conferences and courses through the learning budget, expanding professional networks and skill sets.

📝 Enhancement Note: The challenges are directly linked to the role's unique demands: technical depth, speed, and global remote collaboration. The growth opportunities are substantial for individuals who thrive in such an environment and are eager to specialize.

💡 Interview Preparation

Strategy Questions:

• Product Strategy: "How would you approach designing a new feature for optimizing cloud costs for Kubernetes clusters, considering the technical limitations and user needs of DevOps engineers?" (Focus on your process, research, and trade-offs).

• Technical Understanding: "Describe a time you had to design an interface for a complex technical system. How did you ensure technical accuracy and user comprehension?" (Highlight your ability to learn and translate technical concepts).

• Collaboration & Problem-Solving: "Imagine a discrepancy between engineering's technical feasibility and a user's desired experience. How would you mediate this with the product manager and engineering lead?" (Focus on communication, compromise, and user advocacy).

• AI Integration: "How do you see AI impacting the future of product design, and how have you experimented with AI tools in your own work?" (Showcase your forward-thinking approach and practical experience).

Company & Culture Questions:

• "Why Cast AI, and what specifically about our mission and product interests you?" (Research Cast AI's product, market position, and recent news - unicorn status, investors).

• "How do you approach working in a remote, global, and flat organizational structure?" (Emphasize your self-management, communication skills, and comfort with autonomy).

Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative, guiding the interviewers through the problem, your journey, and the impactful solution.

• Visual Clarity: Use high-quality mockups, prototypes, and diagrams. Ensure your visuals are clean and effectively communicate your design intent.

• Data-Driven Justification: Be ready to explain the data or research that informed your design decisions. Quantify impact whenever possible.

• Technical Depth: Clearly articulate the technical considerations and how you addressed them. Don't shy away from discussing APIs, infrastructure, or backend logic if relevant to your projects.

• Conciseness: Respect the time allotted. Practice your presentation to be impactful yet efficient.

📝 Enhancement Note: Be prepared to demonstrate not just design skills but also a strong understanding of the technical domain and an ability to operate effectively in a fast-paced, remote, and collaborative environment. Your portfolio should be your strongest asset.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit Your Application: Utilize the provided application link (https://cast.ai/careers/apply/?gh_jid=4230935009).

• Curate Your Portfolio: Select 2-3 impactful case studies that best represent your experience with SaaS platforms, data visualization, and technical design challenges. Ensure your portfolio clearly outlines your role, process, and the outcomes of your work.

• Tailor Your Resume: Highlight keywords and experiences relevant to Product Design, UX/UI, SaaS, Data Visualization, Technical Design, AI-assisted workflows, and cloud infrastructure. Quantify achievements where possible.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to technical challenges, and your motivation for joining Cast AI during screening calls and interviews. Practice presenting your portfolio case studies.

• Research Cast AI: Understand Cast AI's product, target audience (DevOps, engineers), market position, recent funding rounds, and company culture to demonstrate genuine interest and alignment.

⚠️ 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. The salary range is an estimate and may vary based on exact experience and negotiation. Candidates should confirm visa and work permit requirements for their specific location within the eligible countries.