AI First Product Designer

📍 Job Overview

Job Title: AI-First Product Designer

Company: Storm Ideas

Location: Fully Remote (Algeria)

Job Type: Full-Time

Category: Product Design / GTM Operations Enablement

Date Posted: 2026-08-07

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

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead end-to-end product design initiatives, from initial problem framing to final shipped release, leveraging an AI-first methodology.

• Utilize AI coding assistants, design tools, and APIs to rapidly prototype and test interactive experiences, accelerating the iteration cycle.

• Integrate UX writing, including prompts, system messages, and microcopy, as a core component of the design surface.

• Collaborate cross-functionally with Product, Engineering, and Solutions teams to deliver pragmatic and effective client solutions.

• Define, instrument, and analyze key performance indicators (KPIs) to drive iterative improvements based on qualitative and quantitative signals.

📝 Enhancement Note: While the title is "Product Designer," the emphasis on AI, automation, systems, and improving how work gets made positions this role with significant overlap into GTM Operations Enablement. The responsibilities focus on building and iterating on product features that directly impact client workflows and internal operational efficiency, requiring a strong understanding of how design impacts broader business operations.

📈 Primary Responsibilities

• Own the complete product design lifecycle for assigned features, from initial problem definition and user research through wireframing, high-fidelity UI design, and successful release.

• Employ AI tools and coding assistants to transform abstract ideas into functional prototypes within hours, enabling early testing of real user interactions.

• Craft all user-facing text, including prompts, system messages, empty states, and microcopy, ensuring consistency and clarity across the product.

• Work closely with Product Managers, Engineers, and Solutions Architects to scope and deliver simple, effective, and client-centric solutions.

• Define success metrics for new features, assist in their instrumentation, and utilize data analysis to inform and guide iterative design improvements.

• Contribute to and maintain the company's design system, developing new components, patterns, and documentation to ensure product consistency across web and mobile platforms.

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

• Actively participate in design and code reviews, providing and receiving constructive feedback to foster a collaborative learning environment.

• Plan and manage individual tasks, communicate progress proactively, and ensure the delivery of high-quality, polished product releases.

📝 Enhancement Note: The responsibility to "Make things measurable" and "define what 'good' looks like for a feature, help instrument it, and use qualitative and quantitative signal to iterate" strongly indicates a need for data-driven decision-making, a core tenet of operations roles. This goes beyond typical UX responsibilities and touches on performance analytics and operational impact assessment.

🎓 Skills & Qualifications

Education: A design degree is not explicitly required. Backgrounds can be varied, including self-taught, bootcamp graduates, or professionals from adjacent disciplines. Emphasis is placed on demonstrated craft and practical experience.

Experience: Minimum of 2-5 years of experience in product design, with a proven track record of delivering end-to-end product improvements.

Required Skills:

• AI-First Mindset: Genuine excitement and active use of AI tools, AI coding assistants, and AI APIs for design and rapid prototyping. Ability to verify AI outputs through testing and sound reasoning.

• Core Product Design Craft: Strong proficiency in interaction design, information architecture, visual hierarchy, and typography, with the ability to translate ambiguous problems into clear, usable interfaces.

• Portfolio of Thinking: A portfolio showcasing the design process, including problem framing, consideration of options, trade-offs made, and post-launch outcomes.

• Ambiguity Tolerance: Comfort designing for probabilistic systems that may change or have occasional errors.

• First Principles Problem-Solving: Ability to break down tasks, reason from fundamental principles, and articulate trade-offs clearly and concisely.

• Reliability & Follow-Through: Demonstrated ability to meet deadlines, communicate proactively about blockers, and ensure tasks are completed to a high standard.

• Coachability & Feedback: Openness to receiving and acting on feedback, demonstrating a curious and iterative approach to design.

• Communication: Strong written and verbal communication skills, essential for effective collaboration in a remote setting.

• Technical Infrastructure: Reliable, consistent internet access suitable for remote work.

Preferred Skills:

• Hands-on AI Tooling Experience: Practical experience with AI design and coding tools such as v0, Cursor, Claude Code, or similar platforms for prototyping and development.

• Front-End Literacy: Sufficient understanding of front-end technologies (HTML/CSS, basic TypeScript, or React) to prototype or refine designs.

• Cross-Platform Design: Experience designing for both web and mobile applications.

• Design System Expertise: Familiarity with contributing to and maintaining design systems, accessibility standards, and advanced motion/prototyping tools.

• AI Experimentation: Side projects, personal repositories, or written pieces demonstrating AI experimentation and learning.

📝 Enhancement Note: The strong emphasis on AI tools, AI-assisted design, and "AI-first" methodology, alongside front-end literacy and design system contributions, indicates this role requires a blend of creative design skills and a pragmatic, technically-informed approach often found in operations-adjacent design roles focused on efficiency and automation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Demonstrate ownership of product improvements from problem framing through to shipped release, detailing the entire design process.

• AI Integration Showcase: Clearly illustrate how AI tools and coding assistants were used to accelerate prototyping, testing, and iteration.

• Problem-Solution-Outcome Structure: For each case study, present the initial problem, the design solutions considered (including trade-offs), and the measurable outcomes or learnings post-launch.

• System Contribution Examples: If applicable, include examples of contributions to a design system, such as new components, patterns, or documentation, highlighting their impact on consistency and scalability.

• Quantitative & Qualitative Data: Showcase how you defined and utilized metrics (both qualitative and quantitative) to guide design decisions and iterate on features.

Process Documentation:

• Workflow Design & Optimization: Present examples of how you've mapped out user flows, identified bottlenecks, and designed optimized workflows using design.

• AI-Assisted Prototyping: Detail your process for using AI tools to rapidly generate and test interactive prototypes, emphasizing speed and learning.

• Iterative Improvement Cycles: Illustrate your approach to gathering feedback and data, and how this informed subsequent design iterations and product improvements.

• Design System Contribution Process: Explain your methodology for contributing to and maintaining design systems, ensuring scalability and consistency.

📝 Enhancement Note: The requirement for a portfolio that shows "thinking, not just screens" and specifically asks for "what happened after it shipped" strongly aligns with operations' focus on measurable impact and continuous improvement. The emphasis on AI integration and rapid prototyping also points towards an operational efficiency mindset within the design process.

💵 Compensation & Benefits

Salary Range: Up to EUR 16,000 per year.

Note on Salary: This figure appears to be a gross annual salary. Given the "fully remote working from anywhere in Algeria" specification, this rate is likely benchmarked against Algerian cost of living and local market rates for mid-level design roles, with a potential premium for the specialized AI focus and remote flexibility. It is important to note that this is a fixed upper limit and actual compensation will depend on the candidate's specific qualifications and experience.

Benefits:

• Paid Leave: 33 days of paid leave annually, providing ample opportunity for rest and personal pursuits.

• Hardware & Software: Provision of a high-end, fast computer and access to all the latest creative software and AI tools necessary for the role.

• Professional Development: Opportunity to work with cutting-edge AI tools and contribute to the development of AI-driven operational processes.

• Global Brand Exposure: Work on projects for globally recognizable brands, particularly within the US TV and entertainment industry.

• Remote Work Flexibility: Fully remote position allowing work from anywhere within Algeria, promoting work-life balance.

Working Hours: Standard full-time hours are expected, likely around 40 hours per week, with flexibility inherent in a remote-first, asynchronous-friendly environment.

📝 Enhancement Note: The salary of EUR 16,000 per year for a mid-level role in Algeria translates to approximately EUR 1,333 per month gross. This is a significant data point for candidates in the region. The benefits package emphasizes high-quality tools and generous leave, which are attractive for remote professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Media, Technology, Creativity, and Operations, with a strong focus on AI integration. The company serves clients primarily in the US TV and entertainment industry.

Company Size: 175+ people, indicating a mid-sized organization with established processes but still agile enough for rapid change and innovation.

Founded: 2008, providing over a decade of experience and client relationships, particularly in its core industries.

Team Structure:

• Cross-functional Collaboration: The role involves working with Production Managers, Creative Teams, and Account Teams across an international, remote-first company.

• AI-Centric Operations: AI is central to how the company operates across every team and role, with dedicated AI Operations support.

• Skill-Based Hiring: Emphasis is placed on hiring for skill, drive, and authenticity, fostering a meritocratic and results-oriented environment.

Methodology:

• AI-Native Operations: Core business processes and product development are built around AI tools and automation.

• Continuous Improvement: A strong appetite for better tools, systems, and ways of working, with a culture that encourages developing and sharing new methods.

• Data-Driven Iteration: Use of qualitative and quantitative signals to measure feature success and drive iterative improvements.

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

📝 Enhancement Note: Storm Ideas presents itself as an "AI-native" company, which is a critical differentiator. For operations professionals, this implies a commitment to leveraging technology for efficiency, scalability, and innovation in how work is produced and managed. The company's focus on improving "how the company operates" directly aligns with the core mission of revenue and sales operations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-level (2-5 years experience), offering significant autonomy and ownership over well-scoped product improvements. It's a "craft role" where deep specialization in AI-assisted product design is valued.

Reporting Structure: While not explicitly detailed, the role implies reporting into a design lead or product management function. Collaboration with Production Managers, Creative Teams, and Account Teams suggests cross-functional alignment rather than a rigid hierarchical structure for day-to-day work.

Operations Impact: The designer's work directly impacts client-facing products and internal operational efficiency through AI-driven features and process improvements. The emphasis on "shipping thoughtful product improvements" and "making things measurable" means the role has a direct line to business outcomes and operational effectiveness.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI tools, LLMs, and AI-assisted design workflows, becoming a subject matter expert within the company.

• Process Innovation: Develop and codify new methods of working that can become company-wide standards, with recognition for contributions.

• Cross-Functional Leadership: Gain exposure to various business functions (Product, Engineering, Solutions, Client Management) and potentially lead design initiatives that span multiple departments.

• Skill Expansion: Opportunity to develop front-end literacy (TypeScript, React) and gain experience in designing for both web and mobile platforms.

• Mentorship: Potential to mentor junior designers or contribute to training others on AI design tools and methodologies as the company scales.

📝 Enhancement Note: The emphasis on "your methods can become how the team works" and "you won't just use it quietly: you'll encode it as a skill others can run, teach it to the team, and watch it become the new standard, with your name on it" is a powerful growth opportunity for operations-minded individuals. It highlights the potential for individual impact and the ability to shape operational processes through design innovation.

🌐 Work Environment

Office Type: Fully Remote. The company operates on a remote-first model.

Office Location(s): Fully remote within Algeria. This designation provides specific geographic boundaries for remote work.

Workspace Context:

• AI-Powered Tooling: Access to a modern, high-end computer and a comprehensive suite of professional creative software and AI tools, supported by an AI Operations team.

• Collaborative Digital Environment: Work within a digital ecosystem designed for remote collaboration, utilizing tools like MS Teams for interviews.

• Asynchronous Communication Focus: While not explicitly stated, remote-first companies often lean towards asynchronous communication, allowing for flexibility in work schedules and time zone management within Algeria.

• Innovation Hub: The environment encourages bringing forward new ideas and methods, fostering a culture of experimentation and continuous improvement.

Work Schedule: While full-time, the remote-first nature suggests a degree of flexibility in daily scheduling, provided work is completed and collaboration needs are met. This allows for alignment with Algeria's time zones and personal commitments.

📝 Enhancement Note: The "fully remote within Algeria" constraint is important for candidates. The provision of "high-end, fast computer and all the latest creative software and AI tools" signifies a significant investment in the remote workforce's productivity and tooling, which is a key operational consideration for remote employees.

📄 Application & Portfolio Review Process

Interview Process:

• Stage 1: Initial Conversation: A MS Teams interview with members of the Storm team to assess mutual fit, understand the candidate's thinking and working style, and answer questions.

• Stage 2: Practical Design Task: A short, time-boxed product design exercise focused on a realistic problem. Evaluation criteria include decision-making, consideration of trade-offs, and effective use of AI and prototyping tools.

• Stage 3: Final Interview: A concluding conversation with a senior team member to finalize the assessment.

Portfolio Review Tips:

• Showcase AI Integration: Explicitly highlight how AI tools were used in your projects to accelerate design, prototyping, or problem-solving.

• Detail the Process: Focus on the "why" and "how" behind your design decisions, not just the final visual output. Include sketches, wireframes, user flows, and iterations.

• Quantify Impact: Where possible, present metrics (e.g., conversion rates, task completion times, user satisfaction scores) that demonstrate the positive impact of your designs.

• Address Ambiguity: If a project involved uncertainty or probabilistic outcomes, explain how you navigated that ambiguity in your design approach.

• Tailor to AI-First: Frame your experience through the lens of an "AI-First" approach, emphasizing efficiency, rapid iteration, and leveraging technology.

Challenge Preparation:

• AI Tool Proficiency: Be ready to discuss your experience with AI design and coding tools and how you would apply them to the given problem.

• Problem Decomposition: Practice breaking down complex problems into smaller, manageable parts and articulating your thought process clearly.

• Trade-off Articulation: Prepare to discuss the trade-offs you considered (e.g., speed vs. perfection, scope vs. features) and justify your choices.

• User-Centricity & Efficiency: Balance user needs with business objectives and operational efficiency in your proposed solutions.

• Communication Clarity: Ensure your communication during the task and interviews is clear, concise, and well-reasoned.

📝 Enhancement Note: The emphasis on a "practical task" that evaluates "how you use AI and prototyping tools" and the statement "Not sure you tick every box? Apply anyway if this sounds like how you already work" suggest a pragmatic and results-oriented evaluation process, common in operations roles where practical application and adaptability are key. The portfolio is crucial for demonstrating this.

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Assistants: Tools like GitHub Copilot, Cursor, or similar integrated AI development environments.

• AI Design Tools: Emerging AI-powered design platforms and plugins (e.g., v0, Midjourney for ideation, AI-assisted wireframing tools).

• Prototyping Tools: Figma, Sketch, Adobe XD, or similar, with potential integration with AI for rapid asset generation or interaction flows.

• Design System Management: Tools and methodologies for maintaining and contributing to scalable design systems.

Analytics & Reporting:

• Product Analytics Platforms: Tools to track user behavior, feature adoption, and performance metrics (e.g., Amplitude, Mixpanel, Google Analytics).

• Data Visualization Tools: For presenting insights and performance data to stakeholders (e.g., Tableau, Looker, or in-tool dashboards).

• Qualitative Feedback Tools: User testing platforms, survey tools, or feedback widgets.

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how product design impacts CRM data and sales/marketing workflows is beneficial.

• Integration Tools: Awareness of how different tools connect and data flows between them is advantageous.

• AI APIs: Potential use of APIs from LLMs (e.g., OpenAI, Anthropic) for custom tooling or workflow automation.

📝 Enhancement Note: The explicit mention of an "AI stack" and "AI Operations team" suggests a sophisticated and integrated use of AI. For operations professionals, understanding how design tools integrate with data analytics and potentially CRM or automation platforms is key to assessing the operational impact of product decisions.

👥 Team Culture & Values

Operations Values:

• AI-Driven Efficiency: A core value is leveraging AI to automate tasks, accelerate workflows, and improve operational output.

• Craftsmanship & Quality: Strong emphasis on high-quality design outcomes, even within rapid, AI-assisted development cycles.

• Continuous Learning & Adaptation: A culture that embraces new technologies and methodologies, encouraging ongoing skill development, particularly in AI.

• Pragmatism & First Principles: Valuing simple, effective solutions that address core problems, rather than overly complex or theoretical approaches.

• Collaboration & Openness: Encouraging feedback, knowledge sharing, and teamwork within a remote, international setting.

Collaboration Style:

• Remote-First & Asynchronous: Expectation of effective communication and collaboration across different locations and potentially time zones within Algeria, prioritizing asynchronous methods where possible.

• Cross-Functional Integration: Designers work closely with Product, Engineering, and Solutions teams, fostering a holistic approach to product development.

• Feedback-Oriented: A culture of giving and receiving constructive feedback during design and code reviews to collectively improve outcomes.

• Method Sharing: Encouragement to share successful methods and insights, contributing to a collective knowledge base and evolving operational standards.

📝 Enhancement Note: The "AI-native" culture implies that efficiency, automation, and data-driven decision-making are not just responsibilities but fundamental values that permeate the organization. This aligns perfectly with the mindset of operations professionals seeking to optimize business processes.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Limitations: Working with AI tools that are probabilistic and can occasionally produce errors requires strong critical thinking, verification skills, and the ability to design around potential inaccuracies.

• Balancing Speed and Quality: The AI-first approach prioritizes rapid iteration, which can challenge maintaining high standards of design quality and thoroughness if not managed effectively.

• Defining "Good" in Probabilistic Systems: Establishing clear success metrics and design principles for systems that are inherently less predictable than traditional software.

• Evolving AI Landscape: Staying current with the rapid advancements in AI tools, techniques, and best practices requires continuous learning and adaptation.

Learning & Development Opportunities:

• AI Tool Mastery: Become an expert in cutting-edge AI tools for design and development, potentially leading the adoption of new technologies.

• Operational Process Design: Develop skills in designing for efficiency, automation, and scalability, directly impacting the company's operational effectiveness.

• Front-End Development Skills: Enhance technical literacy with opportunities to learn or deepen knowledge in HTML, CSS, TypeScript, and React.

• Cross-Functional Impact: Gain experience in how design decisions influence broader business operations, client relationships, and product strategy.

• Methodology Codification: Opportunity to formalize and disseminate best practices, establishing personal and professional influence within the company's operational framework.

📝 Enhancement Note: The challenges presented are inherently operational in nature – managing uncertainty, optimizing for speed, defining metrics, and adapting to technological change. The growth opportunities directly address how to overcome these challenges through skill development and process innovation, making this role attractive for those aiming to impact operational efficiency.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "Describe how you would leverage AI coding assistants and design tools to rapidly prototype a new feature for a US TV client, and what metrics you would use to validate its success." (Focus on process, tools, and measurement.)

• Ambiguity Management: "How do you approach designing for a product area where the AI's output can be inconsistent or occasionally wrong? Provide an example from your portfolio or a hypothetical scenario." (Focus on resilience, verification, and problem-solving.)

• First Principles Application: "Break down the problem of designing a new content recommendation system for our platform using first principles, and explain the key trade-offs you'd consider in your design." (Focus on analytical thinking and decision justification.)

Company & Culture Questions:

• AI-First Philosophy: "What excites you most about Storm Ideas' 'AI-First' approach, and how do you see it changing the role of a product designer?" (Focus on alignment with company vision.)

• Remote Collaboration: "Describe your experience working in a fully remote team. How do you ensure effective communication and collaboration with colleagues you may never meet in person?" (Focus on communication and teamwork skills.)

• Impact Measurement: "How do you ensure your design work has a measurable impact on business goals or client satisfaction? Can you provide an example of how you've used data to iterate on a design?" (Focus on results orientation and data-driven approach.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around a clear narrative: the problem, your approach (emphasizing AI), the solutions explored, the trade-offs made, and the measurable results or learnings.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, final UIs) to illustrate your points, but focus your verbal explanation on your thought process, decision-making, and the impact of your work.

• Highlight AI & Efficiency: Specifically call out instances where AI tools saved time, improved iteration speed, or enabled novel solutions. Quantify efficiency gains if possible.

• Be Ready for Deep Dives: Anticipate questions about specific design decisions, trade-offs, and how you handled challenges. Demonstrate your problem-solving capabilities.

• Engage with Questions: Treat the portfolio review as a collaborative discussion. Be open to feedback and demonstrate your ability to think on your feet.

📝 Enhancement Note: The interview preparation advice emphasizes demonstrating not just design skills but also an understanding of operational efficiency, data-driven decision-making, and the strategic application of AI – all critical for roles that bridge design and operations.

📌 Application Steps

To apply for this operations-aligned design position:

• Submit your CV or resume through the provided application link.

• Portfolio Customization: If you have a portfolio, tailor it to highlight your experience with AI tools, rapid prototyping, and measurable design outcomes. Showcase case studies that demonstrate your ability to solve problems end-to-end.

• Resume Optimization: Ensure your resume clearly articulates your experience with product design craft, AI-assisted workflows, and any contributions to process improvement or efficiency. Use keywords from the job description, such as "AI-First," "Product Design," "Interaction Design," "Prototyping," and "AI tools."

• Interview Preparation: Practice articulating your design process, decision-making rationale, and how you use AI tools. Prepare specific examples from your experience that demonstrate your problem-solving skills, ability to handle ambiguity, and focus on measurable results.

• Company Research: Familiarize yourself with Storm Ideas, their work in the US TV and entertainment industry, and their "AI-native" operational philosophy. Understand how design contributes to their overall business strategy and client success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, including specific AI tools, salary benchmarks, and the exact nature of the practical task, should be verified directly with the hiring organization before making application decisions.