Product Designer

📍 Job Overview

Job Title: Product Designer (Senior UI/UX Designer – AI)

Company: Intermedia Intelligent Communications

Location: Portugal

Job Type: Full Time

Category: Product Design / UX/UI Design / AI Experience Design

Date Posted: September 11, 2026

Experience Level: 5+ Years

Remote Status: On-site (with potential for remote flexibility within Portugal)

🚀 Role Summary

• Design cutting-edge AI-powered user experiences for enterprise software, focusing on generative AI, conversational interfaces, and agentic AI capabilities.

• Drive the complete product design lifecycle, from discovery and research to prototyping, implementation, and post-launch optimization, ensuring AI is useful, intuitive, and trustworthy.

• Collaborate closely with Product Managers, AI/ML Engineers, and Engineering teams to translate complex AI functionality into simple, elegant solutions for business users.

• Contribute to and evolve the company's design system to support seamless integration of AI experiences across web, desktop, and mobile platforms.

• Champion responsible AI design principles, ensuring trust, transparency, and user control within AI-driven features.

📝 Enhancement Note: The role title "Product Designer" is broad, but the description clearly indicates a specialization in "Senior UI/UX Designer – AI" with a strong emphasis on AI experience design. The location is listed as Portugal, but given the "TELECOMMUTE" location type and the absence of explicit on-site requirements beyond "On-site" in ai_work_arrangement, there's a strong possibility for remote work within Portugal. The "On-site" designation in ai_work_arrangement might refer to being based in a Portuguese office rather than mandating daily office attendance, especially given the "TELECOMMUTE" classification.

📈 Primary Responsibilities

• Design intuitive and engaging user experiences for AI-powered capabilities, including copilots, assistants, conversational interfaces, intelligent recommendations, content generation, summarization, and AI-driven workflow automation.

• Explore and define novel interaction models for generative AI and emerging agentic AI systems that can reason, recommend, execute tasks, and coordinate multi-step workflows.

• Translate sophisticated AI functionality and complex customer problems into simple, understandable, and elegant user interactions.

• Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to deeply understand customer needs and behaviors.

• Develop and validate design hypotheses through rapid prototyping, user testing, and data analysis to iteratively improve AI experiences.

• Ensure AI experiences establish and maintain appropriate levels of trust, transparency, explainability, and user control.

• Design effective patterns for AI prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention mechanisms.

• Create clear visual and interactive cues that communicate AI system status, reasoning, and intended actions to users.

• Contribute to and evolve the company's design system by defining reusable patterns and components for AI-powered experiences.

• Partner closely with Product Management, AI/ML Engineers, Software Engineers, Architects, Researchers, and other Designers throughout the entire product lifecycle.

• Facilitate design workshops and collaborative sessions to foster innovation and alignment on AI opportunities.

• Clearly articulate design rationale, research findings, user needs, and tradeoffs to diverse technical and non-technical stakeholders.

• Advocate for customer-centered solutions, ensuring technology serves user needs effectively.

• Stay abreast of emerging AI technologies, interaction patterns, and design best practices, applying them to product development.

📝 Enhancement Note: The responsibilities are heavily weighted towards AI-specific design challenges, indicating this is not a standard UI/UX role but one focused on pioneering new interaction paradigms for AI within enterprise software. The emphasis on "agentic AI" and "multi-step workflows" suggests a need for designers comfortable with complex automation and system orchestration.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles is implied. A degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, Computer Science, or a related field is beneficial.

Experience:

• 5+ years of professional UI/UX, Product Design, or Interaction Design experience, with a significant portion focused on complex SaaS or enterprise software.

• Demonstrated experience in designing end-to-end product experiences, managing complex workflows, and applying interaction design principles.

• Proven ability to conduct user research, usability testing, and competitive analysis to inform design decisions.

• Experience working collaboratively with Product Management and Engineering teams in an Agile software development environment. Required Skills:

• UI/UX Design & Product Design: Expertise in crafting intuitive and effective user interfaces and product experiences for complex applications.

• Interaction Design: Strong understanding of how users interact with systems, particularly in novel AI contexts.

• Generative AI & Conversational Interfaces: Practical experience or deep understanding of designing for LLMs, chatbots, and other generative AI applications.

• User Research & Usability Testing: Proficiency in methodologies to gather user insights and validate design effectiveness.

• Prototyping: Ability to create interactive prototypes to test and communicate design concepts.

• Figma: Strong proficiency with Figma for design, prototyping, and collaboration.

• Enterprise Software Design: Experience designing for business users with complex needs and workflows.

• Design Systems: Ability to contribute to and leverage design systems for consistency and scalability.

• Information Architecture: Skill in organizing and structuring complex information for clarity and ease of navigation.

• Accessibility: Commitment to designing inclusive experiences that meet accessibility standards.

• Workflow Automation: Understanding of how to design for automated processes and efficiency gains.

• Stakeholder Management: Excellent ability to communicate and collaborate with diverse stakeholders.

• Agile Development: Experience working within Agile methodologies and cross-functional teams.

Preferred Skills:

• Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products.

• Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows.

• Experience developing or contributing to large-scale design systems.

• Experience with voice and multimodal interfaces.

• Understanding of inclusive design principles beyond standard accessibility.

• Familiarity with HTML/CSS and the technical constraints of modern web applications.

• Experience using AI-assisted design and prototyping tools.

• Experience working with globally distributed Product and Engineering teams.

• Familiarity with modern AI technologies such as Large Language Models (LLMs), their opportunities, and limitations.

• Understanding of concepts like prompts, context, AI-generated content, confidence, uncertainty, hallucinations, and AI feedback loops.

• Familiarity with AI agents and patterns for designing systems that perform multi-step actions.

• Experience with responsible AI principles, including trust, transparency, explainability, privacy, and user control.

• Strong interest in experimenting with new AI tools and interaction models.

📝 Enhancement Note: The "AI Experience & Knowledge" section in the original description is crucial and should be integrated into the "Required" and "Preferred" skills for clarity, emphasizing the need for practical fluency with AI technologies. The distinction between "5+ years" general experience and the specific need for AI focus is important.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Product Design: Showcase at least one comprehensive project demonstrating ownership from initial concept through to launch and iteration, highlighting problem definition, user research, ideation, design, and outcomes.

• Complex Workflow Design: Present examples of designing intricate workflows, particularly those involving automation or multi-step processes, illustrating how complexity was simplified for the end-user.

• Interaction Design for AI: Include case studies specifically focusing on AI-powered features, such as conversational interfaces, intelligent recommendations, or AI-driven actions, explaining the interaction patterns and rationale.

• Prototyping & Validation: Demonstrate the use of prototyping tools (like Figma) to test and validate design hypotheses, with evidence of user feedback influencing the final design.

• Design System Contribution: If applicable, provide examples of contributions to a design system, especially those related to new components for AI interactions or ensuring consistency across AI features.

• Problem-Solving & Solutioning: Clearly articulate the problem being solved, the user needs identified, and the design solutions implemented, with a focus on the impact and outcomes achieved.

Process Documentation:

• Discovery & Research: Document how user needs and business requirements were uncovered, including research methodologies, synthesis of findings, and key insights.

• Ideation & Concept Development: Illustrate the process of generating and refining design concepts, including any collaborative workshops or brainstorming sessions.

• Design Iteration & Validation: Detail the iterative process of design refinement based on user testing, feedback, and data analysis.

• Collaboration & Handoff: Explain how designs were communicated and handed off to Product Management and Engineering, including documentation and collaboration methods.

• AI Trust & Responsibility Integration: Show how principles of trust, transparency, and user control were integrated into the design process and final product.

📝 Enhancement Note: A strong portfolio is paramount for this role, especially demonstrating experience with AI and complex enterprise software. The emphasis should be on showcasing the process of design and the impact of the solutions, not just the final visual output.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product/UX Designers with specialized AI experience in Portugal, an estimated annual salary range would be €50,000 - €75,000. This range considers the demand for AI design skills, the complexity of the role, and the cost of living/market rates in Portugal.

Benefits:

• Health Insurance: Comprehensive medical, dental, and vision coverage.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Professional Development: Budget for conferences, training, courses, and certifications relevant to AI design and UX.

• Retirement Plan: Contribution towards a pension or retirement savings plan.

• Flexible Work Environment: Potential for remote work within Portugal and flexible working hours.

• Equipment Stipend: Allowance for home office setup or necessary technology.

• Collaborative Tools: Access to a robust suite of design and collaboration software.

Working Hours: Standard full-time hours, estimated at 40 hours per week, with flexibility to accommodate project needs and personal work-life balance.

📝 Enhancement Note: The salary range is an estimate based on publicly available data for similar roles in Portugal. Actual compensation will depend on the candidate's experience, specific skills, and negotiation. The benefits are typical for a full-time role at a tech company, with an emphasis on professional growth aligned with the AI specialization.

🎯 Team & Company Context

🏢 Company Culture

Industry: Intelligent Communications / Enterprise Software / SaaS. Intermedia is a leader in cloud-based communication and collaboration solutions for businesses, now heavily integrating AI to enhance its offerings.

Company Size: Intermedia is a well-established company, likely falling into the mid-to-large enterprise category based on its market presence and product portfolio. This size suggests a structured environment with opportunities for impact across significant product lines, alongside established processes and cross-functional teams.

Founded: Intermedia was founded in 1995, indicating a long history of innovation and adaptation in the technology sector, now pivoting towards AI-driven experiences.

Team Structure:

• Product Department: The designer will be part of the Product department, reporting to Marina Pavlova.

• Cross-Functional Collaboration: Close partnerships with Product Managers, Product Owners, AI/ML Engineers, Software Engineers, Architects, Researchers, and fellow Designers are fundamental.

• Design Specialization: The role implies a specialized AI Design team or a strong emphasis on AI within a broader UX/Product Design team, fostering collaboration among designers with diverse expertise.

Methodology:

• Agile Software Development: Projects are likely managed using Agile methodologies, emphasizing iterative development, rapid prototyping, and continuous feedback.

• Customer-Centric Design: A strong focus on understanding customer needs through research and data to drive product decisions.

• Data-Driven Optimization: Utilization of qualitative and quantitative data to evaluate and improve user experiences.

• Responsible AI Integration: A commitment to embedding ethical AI principles and best practices into the design and development process.

Company Website: https://intermedia.com

📝 Enhancement Note: The company's long history combined with its current focus on AI suggests a dynamic culture that values both established processes and forward-thinking innovation. The "Intelligent Communications" aspect highlights the domain where AI will be applied.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior UI/UX Designer – AI." This indicates a mid-to-senior level position requiring significant autonomy, expertise, and the ability to lead design initiatives. The "Senior" title suggests mentorship and influence within the design team and across product development.

Reporting Structure: The designer will report directly to Marina Pavlova, likely a Design Lead, Director of Product Design, or similar senior role. This provides clear guidance and opportunities for career development within the design hierarchy.

Operations Impact: This role has a direct and significant impact on how Intermedia's customers perceive and utilize its AI capabilities. The designer will shape the user experience of AI features, influencing customer adoption, satisfaction, and the overall value proposition of Intermedia's intelligent communications products. Success in this role means establishing the design language for AI, directly contributing to competitive advantage and revenue growth through enhanced product offerings.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in cutting-edge AI interaction patterns, becoming a go-to expert in this rapidly evolving field.

• Leadership & Mentorship: Opportunity to mentor junior designers, lead design sprints, and influence design strategy for AI initiatives.

• Product Strategy Influence: Play a key role in defining the future direction of AI within Intermedia's product portfolio.

• Cross-Functional Leadership: Develop strong collaborative relationships and leadership skills by working across various departments (Product, Engineering, Research, AI/ML).

• Design System Evolution: Contribute to shaping the core design language of the company's products.

• Industry Recognition: Potential to contribute to thought leadership in AI design through speaking engagements or publications.

📝 Enhancement Note: The "Senior" designation implies a need for strategic thinking and the ability to operate with a high degree of independence. The growth opportunities are strongly tied to the emerging field of AI design, offering a path for significant career advancement and specialization.

🌐 Work Environment

Office Type: The location_type is "TELECOMMUTE" and remote_derived is true, while ai_work_arrangement is "On-site". This suggests a hybrid or flexible on-site model within Portugal, where being based in Portugal is required, but daily office attendance might not be mandatory. The company likely has an office presence in Portugal.

Office Location(s): Portugal. Specific city details are not provided, but candidates should be based within Portugal.

Workspace Context:

• Collaborative Environment: Expect a highly collaborative atmosphere, working closely with diverse teams.

• Tools & Technology: Access to industry-standard design tools (Figma), prototyping software, and potentially AI-assisted design tools. The company will likely provide necessary hardware and software.

• Team Interaction: Regular interaction with product teams, AI/ML specialists, and other designers, fostering a rich exchange of ideas and feedback.

• Focus on Innovation: A work environment that encourages experimentation and exploration of new AI interaction paradigms.

Work Schedule: Standard full-time, approximately 40 hours per week. While the role is on-site (within Portugal), flexibility in daily hours may be available, especially when collaborating with globally distributed teams.

📝 Enhancement Note: The ambiguity between "TELECOMMUTE" and "On-site" suggests that while the role is primarily remote within Portugal, there might be an expectation for occasional in-person collaboration at a company office, or it's a remote role that requires residency within Portugal. Candidates should clarify this during the interview process.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and alignment with the role's core requirements.

2. Hiring Manager Interview: A more in-depth conversation with Marina Pavlova (Hiring Manager) to discuss your experience, design philosophy, and specific interest in AI design. Be prepared to discuss your portfolio and how your skills align with the responsibilities.

3. Portfolio Review & Design Challenge: This is a critical stage. You will likely present your portfolio, highlighting 2-3 key projects. Expect a design challenge, which could involve:

• Critiquing an existing AI feature.
• Proposing a design solution for a hypothetical AI-driven problem.
• Outlining an interaction model for a new AI capability.
• Focus on your process, problem-solving approach, and how you'd ensure AI trust and usability.

1. Team/Cross-Functional Interviews: Interviews with peers (other designers) and cross-functional partners (Product Managers, Engineers, AI/ML specialists) to assess collaboration style, communication skills, and technical understanding.

2. Final Interview: Potentially with a senior leader to discuss strategic alignment, culture fit, and long-term vision.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your experience with complex enterprise software, AI design, and your entire design process. Prioritize projects demonstrating AI interaction design, generative AI features, or complex workflow automation.

• Focus on Process: For each project, clearly articulate the problem, your role, the research conducted, design decisions, iterations, and the impact/outcomes. Use visuals (wireframes, prototypes, user flows) to illustrate your journey.

• Highlight AI Fluency: Explicitly discuss your approach to designing for AI, including considerations for trust, transparency, control, and handling uncertainty or hallucinations. If you have experience with LLMs or conversational AI, make this prominent.

• Demonstrate Problem-Solving: Explain why you made certain design choices and how they addressed specific user needs or business objectives.

• Quantify Impact: Whenever possible, use metrics (e.g., improved conversion rates, reduced task completion time, increased user satisfaction) to demonstrate the success of your designs.

• Be Ready for Questions: Anticipate questions about your design process, how you handle feedback, your approach to ambiguity, and your understanding of AI's role in enterprise software.

Challenge Preparation:

• Understand AI Design Principles: Refresh your knowledge on responsible AI, AI ethics, conversational design patterns, and prompt engineering basics.

• Study Intermedia's Products: Familiarize yourself with Intermedia's current offerings to understand their domain and potential AI integration points.

• Practice Articulating Complex Ideas: Develop clear and concise ways to explain your design thinking, especially for novel AI concepts.

• Focus on User-Centricity: Even when designing for AI, always anchor your solutions in user needs and business value.

• Prepare for "Why": Be ready to explain the rationale behind every design decision, especially concerning AI's unique challenges and opportunities.

📝 Enhancement Note: The interview process emphasizes a deep dive into the candidate's design process, problem-solving skills, and specific experience with AI. The portfolio review is paramount, and candidates must be prepared to articulate their AI design strategy and demonstrate practical application.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design and prototyping tool, essential for this role. Proficiency in its advanced features, collaboration capabilities, and component-based design is expected.

• Prototyping Tools: In addition to Figma, familiarity with other prototyping tools (e.g., Adobe XD, InVision, Framer) may be beneficial for specific use cases.

• Design Systems: Experience working with or contributing to design systems, ensuring consistency and scalability of AI-related UI components.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to analyze user behavior and measure the impact of AI features.

• A/B Testing Tools: Experience with tools that facilitate A/B testing of different AI interaction models or UI variations to optimize user experience.

• Data Visualization Tools: Ability to interpret data and potentially create basic visualizations to communicate insights about AI feature performance.

CRM & Automation:

• While not directly managing CRM or automation systems, understanding how AI features integrate with business processes and existing enterprise software (potentially including CRM and workflow automation tools) is advantageous.

• Collaboration Tools: Proficiency with tools like Slack, Microsoft Teams, Jira, Confluence for cross-functional communication and project management.

📝 Enhancement Note: The emphasis on Figma is explicit. The role requires a designer who can not only create interfaces but also understand how to measure their effectiveness and integrate them into broader business workflows, especially concerning AI.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A deep commitment to understanding and solving real customer problems through intelligent design.

• Innovation & Experimentation: A culture that encourages exploring new technologies like AI and experimenting with novel interaction paradigms.

• Collaboration & Transparency: Valuing open communication, knowledge sharing, and working effectively across teams to achieve shared goals.

• Data-Driven Decision Making: Using research, analytics, and feedback to inform design choices and measure impact.

• Responsible & Ethical Design: A strong emphasis on building AI experiences that are trustworthy, transparent, and user-controlled.

• Quality & Craftsmanship: A dedication to delivering high-quality, polished, and user-friendly designs.

Collaboration Style:

• Cross-Functional Partnership: Expect a highly collaborative environment where designers work hand-in-hand with Product Managers, AI/ML Engineers, and Software Engineers from concept to launch.

• Design Critiques & Feedback Loops: A culture that embraces constructive feedback through regular design reviews and collaborative sessions.

• Knowledge Sharing: Encouragement to share learnings, best practices, and insights on AI design and UX trends with the broader team.

• Agile Teamwork: Working within agile teams to deliver iteratively, adapting to feedback and evolving requirements.

📝 Enhancement Note: The company culture appears to value innovation, collaboration, and a strong ethical compass, particularly crucial for a role centered around AI. Designers are expected to be proactive collaborators and advocates for the user.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for the Unknown: Navigating the rapidly evolving landscape of AI and defining interaction models for capabilities that are still emerging.

• Balancing Innovation with Usability: Creating novel AI experiences that are also intuitive, trustworthy, and accessible to a broad business user base.

• Ensuring AI Trust & Transparency: Designing systems that effectively communicate AI's capabilities, limitations, and decision-making processes to build user confidence.

• Integration with Existing Systems: Seamlessly integrating new AI features into established enterprise software without disrupting existing workflows or user habits.

• Managing Ambiguity: Working with cutting-edge technology that often involves inherent uncertainty and rapidly changing requirements.

• Cross-Team Alignment: Ensuring consistent application of AI design principles and user experience across different product teams and stakeholders.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a leader in the field of AI interaction design through hands-on experience and continuous learning.

• Advanced UX/Product Design: Deepening expertise in complex enterprise UX, design systems, and product strategy.

• Industry Conferences & Workshops: Opportunities to attend events focused on AI, UX, and product design.

• Mentorship Programs: Learning from senior designers and potentially mentoring junior team members.

• Access to AI Research & Tools: Exposure to cutting-edge AI research and tools that can aid in design and prototyping.

📝 Enhancement Note: The challenges are inherent to working at the forefront of AI product design. The growth opportunities are substantial, offering a chance to become a specialist in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow or enterprise feature. What was your process, and what was the outcome?"

• "How would you approach designing a conversational AI assistant for business users that needs to handle sensitive data?"

• "Imagine we're building a feature where AI can proactively suggest actions to users. How would you design the interaction to ensure trust and user control?"

• "What are the key considerations when designing for generative AI, particularly regarding potential inaccuracies or 'hallucinations'?"

• "How do you balance the need for innovative AI features with maintaining a consistent and user-friendly experience within an established design system?"

• "Describe your process for conducting user research for a novel AI product or feature." Company & Culture Questions:

• "What interests you most about designing AI experiences at Intermedia?"

• "How do you stay updated on the latest trends in AI and UX design?"

• "Describe your ideal collaboration style when working with Product Managers and Engineers."

• "How do you handle constructive criticism or differing opinions on design decisions?"

• "What does 'responsible AI' mean to you, and how do you incorporate it into your design practice?" Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role and responsibilities, the user research and insights, your design process (including iterations and rationale), the final solution, and the impact/results.

• Focus on AI Projects: Prioritize projects that demonstrate your experience with AI, complex workflows, or enterprise software. If you don't have direct AI experience, highlight projects that show strong problem-solving, complex system design, or user research transferable to AI contexts.

• Show, Don't Just Tell: Use visuals, prototypes, and user flows to illustrate your design thinking. Explain why you made specific design choices, especially concerning AI interactions, trust, and control.

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

• Connect to Intermedia: Briefly explain how your experience and approach align with Intermedia's mission and the specific requirements of this role.

📝 Enhancement Note: Interview preparation should strongly emphasize understanding AI design principles, responsible AI practices, and the ability to articulate a clear, user-centric design process, especially for novel AI interactions.

📌 Application Steps

To apply for this Product Designer (Senior UI/UX Designer – AI) position:

• Submit your application through the provided link on the Intermedia careers portal.

• Tailor Your Resume: Highlight your experience with UI/UX design, product design, AI-related features (generative AI, conversational interfaces), enterprise software, and your proficiency with Figma. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your end-to-end design process, complex workflow solutions, and any experience with AI or similar innovative technologies. Ensure clear articulation of problem, process, and impact.

• Prepare Your Portfolio Presentation: Practice walking through your selected projects, focusing on your design rationale, problem-solving approach, and how you address user needs and AI-specific challenges like trust and transparency.

• Research Intermedia: Understand their product offerings, their stated mission, and their focus on intelligent communications. Consider how AI can enhance their existing solutions.

• Craft a Compelling Cover Letter (Optional but Recommended): Briefly explain your passion for AI design and why you are a strong fit for this specific role at Intermedia, referencing key responsibilities and company values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with Intermedia Intelligent Communications during the application and interview process.