AI-First Product Designer

📍 Job Overview

Job Title: AI-First Product Designer

Company: Storm Ideas

Location: Fully remote within Algeria

Job Type: FULL_TIME

Category: Product Design / AI Operations

Date Posted: 2026-08-07

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• Design and ship end-to-end product improvements, leveraging AI-first methodologies and tools to accelerate the design and development lifecycle.

• Utilize AI coding assistants, design tooling, and APIs to rapidly prototype and test real interactions, focusing on an AI-native approach to product development.

• Combine core product design craft (interaction, visual, UX writing) with an AI-first mindset to create thoughtful and efficient user experiences.

• Contribute to the design system, ensuring consistency and scalability across web and mobile platforms, while actively participating in design and code reviews.

• Solve customer problems through pragmatic solutions, defining success metrics and using qualitative and quantitative data for continuous iteration and improvement.

📝 Enhancement Note: While the title is "Product Designer," the emphasis on "AI-First," AI agents, automation, and AI Operations integration positions this role as a specialized design function within a company deeply invested in AI-driven workflows. This role requires a strong blend of traditional design skills and a proactive approach to leveraging AI for efficiency and innovation.

📈 Primary Responsibilities

• Own the complete product improvement lifecycle from problem framing, wireframing, and high-fidelity UI design to shipped release, ensuring close collaboration with engineering and product teams.

• Employ AI coding assistants and advanced design tooling to transform ideas into functional prototypes within hours, enabling early testing of user interactions.

• Integrate UX writing, including prompts, system messages, empty states, and model-facing instructions, as a core component of the design surface.

• Collaborate with Product, Engineering, and Solutions teams to scope and deliver simple, pragmatic solutions that address real customer needs and business objectives.

• Define key performance indicators (KPIs) for new features, assist in instrumentation, and utilize both qualitative and quantitative signals for data-driven iteration and optimization.

• Contribute to and maintain the design system by developing components, patterns, and documentation to ensure product consistency across web and mobile applications.

• Apply first principles thinking to break down complex problems, analyze trade-offs, and select the most efficient and effective solutions.

• Actively participate in design and code reviews, provide and receive constructive feedback, pair with teammates, and share learnings to foster a collaborative and knowledge-sharing environment.

• Manage personal tasks, communicate progress effectively, and ensure the successful delivery of high-quality releases within agreed timelines.

📝 Enhancement Note: The responsibilities highlight a hands-on, end-to-end ownership model common in agile and fast-paced tech environments. The explicit mention of "AI agents," "automation," and "AI Operations" suggests a role where understanding and integrating AI capabilities into the design process is not just a preference but a core operational requirement.

🎓 Skills & Qualifications

Education: A design degree is not required. Backgrounds from self-taught paths, bootcamps, or adjacent disciplines are welcome, provided the core craft and AI enthusiasm are present.

Experience: Mid-level experience (2-5 years) in product design, with a demonstrated ability to own and ship product improvements end-to-end.

Required Skills:

• Genuine excitement and active use of AI and AI-assisted design tools (e.g., LLMs, AI coding assistants, AI APIs) for faster iteration and prototyping.

• Strong core product design craft, including interaction design, information architecture, visual hierarchy, and typography.

• Proven ability to take ambiguous problems and deliver clean, usable, and well-considered interfaces.

• A portfolio showcasing the problem-solving process, considered options, design decisions, and post-launch outcomes.

• Comfort with designing for probabilistic systems that may be occasionally incorrect or subject to change.

• Clear problem-solving skills, including the ability to break down tasks, reason from first principles, and articulate trade-offs concisely.

• Demonstrated reliability, follow-through, and proactive communication regarding progress and blockers.

• Openness to feedback, coachability, and a commitment to iterating based on learnings.

• Strong written and verbal communication skills for effective remote collaboration.

• Reliable and consistent internet access for full-time remote work. Preferred Skills:

• Hands-on experience building with AI tooling, such as prototyping in v0/Cursor/Claude Code, integrating AI APIs, or developing custom agents and automations.

• Front-end literacy, including HTML/CSS, basic TypeScript, or React, to facilitate prototyping or fine-tuning of designs.

• Experience designing for both web and mobile platforms.

• Familiarity with design systems, accessibility standards, and advanced motion and prototyping tools.

• Evidence of continuous learning through side projects, personal repositories, shipped AI experiments, or written articles.

📝 Enhancement Note: The emphasis on "genuine excitement for AI" and "AI-assisted design" as a "must-have" underscores the critical nature of this requirement. The role demands not just proficiency but a proactive and curious engagement with AI technologies within the design workflow, distinguishing it from standard product design roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a clear problem-solving process, detailing the initial framing, exploration of design options, and rationale behind design decisions.

• Showcase the ability to identify and articulate trade-offs made during the design process, including what was simplified or deferred.

• Present evidence of post-launch outcomes, including qualitative and quantitative data that informed iteration and improvement strategies.

• Highlight the application of AI tools and AI-assisted workflows in the design and prototyping stages.

• Include examples of contributions to design systems, components, or patterns, if applicable. Process Documentation:

• Articulate the workflow for taking a product improvement from initial concept through to a shipped release, emphasizing the end-to-end ownership.

• Detail how AI tools and AI agents are integrated into the design and prototyping process to accelerate iteration and testing.

• Explain methods for defining success metrics, instrumenting features, and using data signals for continuous improvement and iteration.

• Illustrate how feedback from design reviews, code reviews, and user testing is incorporated into the design refinement process.

📝 Enhancement Note: The portfolio requirements strongly emphasize the practical application of AI in the design process and the ability to demonstrate tangible outcomes and iterative improvements, moving beyond static design deliverables. The "AI-First" nature of the role means the portfolio should reflect how AI was used to achieve design goals more efficiently or effectively.

💵 Compensation & Benefits

Salary Range: Up to EUR 16,000 per year. This is presented as a maximum annual figure, suggesting a performance-based or tiered compensation structure, or a fixed salary for the specified role and location.

Benefits:

• 33 Days Paid Leave: Generous annual leave allowance providing ample time for rest and personal pursuits.

• High-end, fast computer: Provision of top-tier hardware to ensure optimal performance for demanding design and AI tasks.

• Latest creative software and AI tools: Access to professional-grade design software and cutting-edge AI tools required for the role.

• Health and well-being support: While not explicitly detailed, the generous leave and provision of equipment suggest a focus on employee well-being.

Working Hours: 40 hours per week, full-time permanent employment contract. The fully remote nature offers flexibility in managing daily schedules within the context of a 40-hour work week.

📝 Enhancement Note: The salary is stated as "Up to EUR 16,000 per year," which is relatively low for a mid-level Product Designer role in many Western markets. However, considering the location (Algeria) and the fully remote nature, this figure needs to be evaluated against local cost of living and market rates. The specific currency (EUR) suggests the company may be based in Europe or uses Euros for international payroll. The benefits package is strong, particularly the provision of equipment and software, which is crucial for an AI-first role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Media, Entertainment, and Operations. Storm Ideas operates at the intersection of these sectors, building products, producing content, and designing operational efficiencies.

Company Size: 175+ people. This indicates a mid-sized company with established operations and client relationships, but still agile enough for significant individual impact.

Founded: 2008. With over a decade of experience, Storm Ideas has a proven track record and established client base, particularly in the US TV and entertainment industry.

Team Structure:

• The role involves working with production managers, creative teams, and account teams across an international, remote-first company.

• Collaboration is expected within and across various functional groups, suggesting a matrixed or project-based team structure.

• The "AI Operations team" is mentioned, indicating a dedicated function supporting the AI stack and tools, crucial for an AI-first role. Methodology:

• Embraces an "AI-native" and "AI-first" approach, integrating AI into core workflows rather than as an add-on.

• Focuses on "designing smarter ways for clients and internal teams to work," emphasizing operational efficiency and continuous improvement.

• Encourages sharing and encoding of effective methods, turning individual innovations into team-wide standards.

• Values data-driven decision-making, using qualitative and quantitative signals for iteration and performance measurement.

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

📝 Enhancement Note: Storm Ideas positions itself as an innovative company leveraging AI to enhance its services in media and entertainment. The culture appears to value autonomy, continuous learning, and the practical application of technology to drive efficiency and client success. The size suggests opportunities for significant individual contribution and influence on team processes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer with a specific specialization in "AI-First" methodologies. It offers end-to-end ownership of product improvements, making it a significant step up from junior roles and providing a strong foundation for senior design positions.

Reporting Structure: While not explicitly detailed, the role implies reporting into a design lead or product management function, with close collaboration across Engineering and Solutions teams. The mention of an "AI Operations team" suggests a supporting structure for the technological aspects of the role.

Operations Impact: The designer will directly impact product improvements, customer problem-solving, and operational efficiency through their design work and integration of AI tools. By defining metrics and iterating on features, they contribute to measurable business outcomes and client satisfaction. The ability to develop and share new working methods means their impact can scale across the organization.

Growth Opportunities:

• Specialization in AI-Driven Design: Deepen expertise in leveraging AI tools, agents, and APIs for product design, becoming a go-to expert in this emerging field.

• Design System Leadership: Contribute significantly to and potentially lead the evolution of the design system, enhancing its capabilities and adoption.

• Process Innovation: Develop and codify new working methods that become organizational standards, demonstrating leadership in process optimization and efficiency.

• Cross-Functional Expertise: Gain valuable experience collaborating with diverse teams (Product, Engineering, Solutions, Account) in a remote, international setting.

• Career Progression: Potential advancement to Senior Product Designer, Lead Product Designer, or roles focusing on AI strategy within product development.

📝 Enhancement Note: The role offers a unique growth path for designers interested in the cutting edge of AI integration. The emphasis on developing and sharing "methods" suggests a culture that rewards proactive contribution and leadership in operational innovation, which can accelerate career progression.

🌐 Work Environment

Office Type: Fully remote. This role is designed for individuals who thrive in an independent, self-managed work environment.

Office Location(s): Fully remote within Algeria. This specifies the geographical limitation for candidates.

Workspace Context:

• Collaborative Environment: Despite being fully remote, collaboration is emphasized through MS Teams interviews, design/code reviews, and pairing with teammates.

• Tools & Technology: Access to a high-end computer, latest creative software, and a dedicated AI stack supported by an AI Operations team ensures professionals have the resources needed for an AI-first workflow.

• Team Interaction: Opportunities for interaction exist through virtual meetings, reviews, and knowledge-sharing sessions, fostering a sense of team despite physical distance.

Work Schedule: Full-time (40 hours/week) with flexibility inherent in a remote setup. The focus is on output and meeting agreed timelines rather than strict adherence to office hours, allowing for adaptation to different time zones or personal productivity peaks, within the required 40-hour work week.

📝 Enhancement Note: The fully remote nature within a specific country (Algeria) is a key characteristic. The company actively supports this with necessary technology and a collaborative virtual environment, aiming to replicate the benefits of in-person teamwork through digital means.

📄 Application & Portfolio Review Process

Interview Process:

• First Interview: A virtual meeting via MS Teams to assess mutual fit, understand the candidate's thinking and working style, and allow for questions. Focus on understanding how the candidate approaches problems and integrates AI.

• Practical Task: A short, time-boxed product design exercise simulating a realistic problem. Evaluation criteria include decision-making, trade-off considerations, and the effective use of AI and prototyping tools, not just the final visual output.

• Final Interview: A concluding conversation with a senior team member to finalize the assessment.

Portfolio Review Tips:

• Showcase the Process: Clearly articulate the problem, your thought process, the options explored, and the rationale behind your choices.

• Highlight AI Integration: Explicitly demonstrate how AI tools and AI agents were used to accelerate design, prototyping, or problem-solving. Quantify the impact if possible (e.g., time saved, iterations completed).

• Present Trade-offs: Explain what compromises were made and why, demonstrating critical thinking and pragmatic decision-making.

• Include Outcomes: Share results, metrics, or learnings from the deployed feature. If direct metrics aren't available, provide qualitative feedback or insights gained.

• Focus on Craft: Ensure the visual and interaction design elements are strong, even when showcasing a rapid, AI-assisted process.

• Be Concise: Given the time-boxed nature of the practical task, aim for clear, impactful presentations of your work.

Challenge Preparation:

• Understand the "AI-First" Context: Be ready to discuss how you envision AI augmenting the design process for the specific problem presented.

• Practice Rapid Prototyping: Familiarize yourself with tools that allow for quick iteration, especially those with AI assistance.

• Articulate Trade-offs: Prepare to explain why certain design decisions were made, especially those involving AI capabilities or limitations.

• Prepare Questions: Have thoughtful questions ready about the team, the challenges, and how AI is currently being used and envisioned for the future within Storm Ideas.

📝 Enhancement Note: The practical task is designed to test practical application and AI integration, not just theoretical knowledge. Candidates should prepare to demonstrate their workflow, decision-making process, and ability to leverage AI tools effectively under timed conditions. The emphasis is on process and AI usage over a polished final screen.

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Assistants: Tools like GitHub Copilot, Cursor, or similar AI-powered coding environments for faster development and prototyping.

• AI Design Tooling: Platforms that integrate AI for design generation, iteration, or automation (e.g., v0, Midjourney for ideation, potentially AI plugins for Figma/Sketch).

• Prototyping Tools: Software for creating interactive prototypes, with a preference for those that can integrate or be accelerated by AI.

• Design Software: Professional-grade creative software (e.g., Figma, Sketch, Adobe Creative Suite) for UI design, wireframing, and visual asset creation.

Analytics & Reporting:

• Qualitative and Quantitative Signal Tools: While not specified, expect to use tools for user feedback, A/B testing results, and performance metrics to inform design iterations.

• Instrumentation Tools: Understanding how to define and work with engineering to instrument features for data collection.

CRM & Automation:

• Collaboration Platforms: MS Teams is explicitly mentioned for communication and interviews. Expect other standard collaboration tools.

• Project Management Tools: Likely used for task management and tracking progress (e.g., Jira, Asana, Trello), though not specified.

• Integration Tools: Understanding how design outputs integrate with development pipelines and potentially AI API integrations.

📝 Enhancement Note: The core of the technology stack revolves around AI integration. Candidates should be prepared to discuss their experience with AI coding assistants, AI-powered design tools, and how they integrate these into a broader design workflow. Familiarity with front-end technologies (HTML, CSS, TypeScript, React) is also a plus for hands-on prototyping.

👥 Team Culture & Values

Operations Values:

• AI-First Mindset: A deep commitment to integrating AI into every aspect of work, viewing it as a fundamental enabler of efficiency and innovation.

• Craftsmanship & Excellence: Maintaining high standards in product design, interaction, and visual execution, even within rapid AI-assisted workflows.

• Data-Driven Iteration: Valuing measurable outcomes and using qualitative and quantitative data to guide design decisions and continuous improvement.

• First Principles Thinking: Approaching problems analytically, breaking them down to their core components, and finding the simplest effective solutions.

• Openness & Collaboration: Fostering a culture of learning, sharing feedback, and working together constructively, especially in a remote setting.

• Reliability & Follow-Through: Ensuring tasks are completed to a high standard and within agreed timelines, with proactive communication.

Collaboration Style:

• Remote-First & Asynchronous: While real-time communication exists (MS Teams), the culture likely supports asynchronous collaboration, documentation, and clear communication to bridge time zones and physical distance.

• Constructive Feedback: Encourages giving and receiving feedback openly in design and code reviews to elevate the quality of work and foster team growth.

• Knowledge Sharing: Actively promotes sharing learnings, encoding effective methods as team standards, and teaching others, creating a learning organization.

• Cross-Functional Integration: Works closely with Product, Engineering, and Solutions teams, indicating a collaborative approach to product development where design is integrated early and often.

📝 Enhancement Note: The company culture is built around innovation, efficiency, and leveraging AI as a core operational component. The values emphasize both technical proficiency with AI and strong design fundamentals, combined with a collaborative and learning-oriented approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Limitations: Designing for systems that are probabilistic, occasionally wrong, and constantly evolving requires adaptability and strong problem-solving skills.

• Balancing Speed and Craft: Integrating AI for rapid prototyping and iteration while maintaining high standards of design craft and user experience.

• Defining AI-Specific Metrics: Developing effective ways to measure the success and impact of AI-driven features and design decisions.

• Staying Ahead of AI Trends: Continuously learning and adapting to the rapidly evolving AI landscape and its implications for product design.

• Remote Collaboration Dynamics: Ensuring effective communication, alignment, and team cohesion in a fully remote, international environment.

Learning & Development Opportunities:

• Deep Dive into AI Tools: Gain hands-on experience with cutting-edge AI agents, coding assistants, and design tools, becoming an expert in their application.

• Develop AI-Augmented Design Methodologies: Contribute to and refine processes for AI-first product development that can become organizational standards.

• Cross-Disciplinary Skill Building: Enhance front-end development skills (HTML, CSS, TypeScript, React) for more integrated prototyping.

• Industry Exposure: Work with globally recognized brands in the US TV and entertainment industry, gaining insights into their operational and creative challenges.

• Mentorship & Knowledge Sharing: Benefit from and contribute to a culture that actively promotes learning and sharing best practices in AI and design.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the integration of AI into the product design workflow. This role is ideal for individuals eager to be at the forefront of AI-driven product development and shape how AI is used in creative and operational contexts.

💡 Interview Preparation

Strategy Questions:

• How do you approach integrating AI tools into your existing product design workflow? Can you provide an example of a project where you successfully used AI to accelerate design or prototyping?

• Describe a time you had to design for an ambiguous or probabilistic system. What were the key challenges, and how did you ensure a usable outcome?

• How do you define and measure success for a new feature, especially one that incorporates AI? What metrics would you track, and how would you use that data for iteration?

• Explain your understanding of "first principles thinking" in design. How would you apply it to a problem like [hypothetical design problem]?

• How do you stay updated with the rapid advancements in AI technology, and how do you evaluate new tools for potential integration into your work? Company & Culture Questions:

• What interests you most about Storm Ideas' "AI-First" approach and its application in the media and entertainment industry?

• How do you contribute to a collaborative remote team environment, especially when giving and receiving feedback?

• Describe your experience working in a fully remote setting. What strategies do you use to maintain productivity and communication?

• How do you feel about the idea of your work methods becoming organizational standards? Can you share an example of when you've influenced team processes? Portfolio Presentation Strategy:

• Structure for Impact: Begin with the problem statement, clearly outline your design process, and then present the solution. For each project, dedicate a section to how AI was utilized.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, final UI) to illustrate your process and outcomes. For AI integration, show the prompts, the AI-generated outputs, and how you refined them.

• Quantify When Possible: Highlight any measurable impact of your design decisions or AI-assisted work (e.g., time saved, user satisfaction improvements, faster iteration cycles).

• Articulate Trade-offs Clearly: Be ready to discuss why certain paths were chosen over others, especially concerning AI capabilities and limitations.

• Prepare for the Practical Task: Practice working through a design problem under time constraints, focusing on integrating AI tools and articulating your rationale concisely.

📝 Enhancement Note: Interviewers will be looking for a candidate who is not only a skilled designer but also a proactive and enthusiastic adopter of AI technologies. Be prepared to discuss your practical experience with AI tools, your understanding of their limitations, and your vision for how AI can enhance product development.

📌 Application Steps

To apply for this AI-First Product Designer position:

• Submit your application: Use the provided link to submit your CV or resume.

• Curate Your Portfolio: Select projects that best showcase your core design craft, problem-solving abilities, and, critically, your experience and enthusiasm for integrating AI tools into your workflow. Highlight specific instances where AI accelerated your design process or led to innovative solutions.

• Optimize Your Resume: Tailor your resume to emphasize keywords related to AI, product design, interaction design, prototyping, and any front-end technologies you possess. Quantify achievements and responsibilities where possible.

• Prepare for the Interview: Research Storm Ideas, their work in the media/entertainment sector, and their AI-first philosophy. Practice articulating your design process, your approach to AI integration, and your problem-solving methodologies. Prepare thoughtful questions for the interviewers.

• Practice the Practical Task: Familiarize yourself with rapid prototyping tools and AI assistants. Be ready to demonstrate your ability to quickly iterate on a design problem, articulate your decisions, and explain how AI contributed to your process during the timed exercise.

⚠️ 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.