AI-First Product Designer

📍 Job Overview

Job Title: AI-First Product Designer

Company: Storm Ideas

Location: Fully Remote (Tunisia)

Job Type: Full-Time

Category: Product Design / GTM Operations

Date Posted: 2026-08-07

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

Remote Status: Fully Remote

🚀 Role Summary

• This role focuses on the end-to-end design and delivery of product improvements, emphasizing a strong integration of AI tools and methodologies throughout the entire product development lifecycle.

• The position requires a blend of core product design craft (interaction, visual, UX writing) and a proactive, hands-on approach to utilizing AI assistants, APIs, and rapid prototyping environments to accelerate idea validation and iteration.

• Candidates will be expected to contribute to and maintain a design system, ensuring consistency across web and mobile platforms, while demonstrating a first-principles approach to problem-solving and trade-off analysis.

• This is a craft role where AI is central to the creation process, not an add-on, demanding continuous learning and open collaboration within a globally recognized, remote-first organization.

📝 Enhancement Note: While the title is "Product Designer," the emphasis on AI integration, AI Operations, and the "AI-First" methodology positions this role as having significant GTM Operations implications, particularly in how product improvements are conceptualized, tested, and launched efficiently. The role's focus on rapid iteration and measurable outcomes aligns with core GTM operations principles.

📈 Primary Responsibilities

• End-to-End Product Ownership: Take full ownership of well-scoped product improvements, from initial problem framing, wireframing, and high-fidelity UI design through to shipped release, ensuring continuous involvement and iterative refinement rather than a static handoff.

• AI-Assisted Prototyping and Development: Leverage AI coding assistants, design tools, and APIs to rapidly transform ideas into functional prototypes within hours, enabling early testing of real user interactions and reducing reliance on static mockups.

• Integrated UX Writing and Prompt Engineering: Design and craft all forms of on-screen text, including prompts, system messages, empty states, microcopy, and model-facing instructions, as integral components of the user experience.

• Cross-Functional Collaboration for Problem Solving: Partner closely with Product, Engineering, and Solutions teams to define and scope simple, pragmatic solutions that directly address client needs and business objectives.

• Data-Driven Iteration and Measurement: Define key performance indicators (KPIs) for new features, assist in instrumenting them, and utilize both qualitative and quantitative data signals to drive iterative improvements, ensuring successful product adoption and impact.

• Design System Contribution and Maintenance: Actively contribute to and maintain the company's design system, developing and documenting new components and patterns to ensure product consistency and scalability across web and mobile applications.

• First Principles Problem Solving: Systematically break down complex problems, reason from fundamental principles, and select the most efficient and effective solutions that meet project requirements.

• Open Learning and Feedback: Actively participate in design and code reviews, providing and receiving constructive feedback, pairing with teammates, and sharing learnings to foster a culture of continuous improvement.

• Task Management and Delivery: Plan and manage individual tasks effectively, communicate progress transparently, and ensure the delivery of high-quality, polished releases within agreed timelines.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on process ownership and efficiency, core tenets of GTM Operations. The expectation to "prototype with AI, not just for it" and "make things measurable" points to a need for operational rigor in the design process, driving faster time-to-market and validated learning.

🎓 Skills & Qualifications

Education: A design degree is not a mandatory requirement; diverse backgrounds including self-taught, bootcamp graduates, and those from adjacent disciplines are welcomed. The focus is on practical craft and demonstrated ability.

Experience: Mid-level experience (approximately 2-5 years) in product design, with a demonstrated track record of taking product improvements from concept to completion.

Required Skills:

• Core Product Design Craft: Strong proficiency in interaction design, information architecture, visual hierarchy, and typography. Ability to translate ambiguous problems into clean, usable, and well-considered interfaces.

• AI and AI-Assisted Design: Genuine excitement and active use (or strong eagerness to use) of AI tools, LLMs, AI coding assistants, and AI APIs for faster design and development cycles.

• Problem-Solving and Critical Thinking: Ability to break down tasks, reason from first principles, analyze trade-offs, and articulate simple, clear solutions.

• Prototyping and Iteration: Experience with rapid prototyping tools and methodologies, including the use of AI-powered tools for faster iteration and validation.

• UX Writing and Microcopy: Skill in crafting clear, concise, and effective written content for user interfaces, prompts, and system messages.

• Reliability and Follow-Through: Proven ability to meet agreed timelines, communicate proactively about blockers, and ensure tasks are completed to a high standard.

• Openness to Feedback and Coaching: Coachable attitude, curiosity, and willingness to iterate designs based on feedback and learnings.

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

• Remote Work Readiness: Reliable and consistent internet access for effective remote work.

Preferred Skills:

• Hands-on AI Tooling Experience: Practical experience building with AI tooling, such as v0, Cursor, Claude Code, integrating AI APIs, or developing custom agents/automations.

• Front-end Literacy: Basic understanding or hands-on experience with front-end technologies like HTML/CSS, and potentially basic TypeScript or React, to assist in prototyping or tweaking designs.

• Web and Mobile Design Experience: Familiarity with designing for both web and mobile platforms.

• Design System Proficiency: Experience contributing to or utilizing design systems, understanding accessibility standards, and familiarity with motion design or advanced prototyping tools.

• Demonstrated Learning: Side projects, personal code repositories, shipped AI experiments, or written articles showcasing continuous learning and exploration in AI and design.

📝 Enhancement Note: The emphasis on AI tools and "front-end literacy" suggests that this role has a strong operational component in bridging the gap between design and development, facilitating faster GTM cycles. The requirement for a portfolio showing "thinking, not just screens" and "what happened after it shipped" directly aligns with operations' focus on measurable outcomes and process effectiveness.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Thinking Process: Showcase not just final screens, but the entire design journey: the initial problem statement, the options considered, the trade-offs made, and the rationale behind design decisions.

• Post-Launch Impact: Include examples of work that has been shipped, with clear articulation of what happened after launch, including any data or insights gathered from user feedback or performance metrics.

• AI Integration Examples: Feature projects where AI tools, coding assistants, or APIs were integral to the design or prototyping process, illustrating how AI accelerated development or enabled new solutions.

• Problem Definition and Scoping: Present instances where you effectively broke down complex or ambiguous problems into manageable, well-scoped design tasks.

Process Documentation:

• Workflow Design and Optimization: Examples of how you have designed or optimized design workflows, particularly those involving AI tools for efficiency gains.

• Prototyping and Testing Methods: Showcase your approach to rapid prototyping, including how you use AI and other tools to test interactions early and gather feedback.

• Measurement and Performance Analysis: Demonstrate how you define success metrics for design features and how you use data (qualitative and quantitative) to iterate and improve products.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating operational efficiency and impact. The focus on "what happened after it shipped" and "making things measurable" directly relates to GTM operations' need for validated learning and performance tracking. The emphasis on AI integration in the design process is a key operational differentiator.

💵 Compensation & Benefits

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

Benefits:

• 33 Days Paid Leave: Generous annual leave allowance for work-life balance.

• High-end, Fast Computer: Provision of top-tier hardware to ensure optimal performance.

• Latest Creative Software: Access to all necessary professional creative software.

• Comprehensive AI Tools: Full suite of the latest AI tools required for the role, supported by an AI Operations team.

Working Hours: Full-time employment contract, with an implied standard 40-hour work week, allowing for flexibility within a remote work structure.

📝 Enhancement Note: The salary is presented as an annual figure, common for contract or project-based roles, though this is specified as a "permanent employment contract." The EUR 16,000 annual salary for a mid-level Product Designer in Tunisia, while potentially competitive locally, is significantly lower than European or North American market rates for similar roles. This suggests a focus on local talent acquisition for a remote role serving international clients. The benefits package, particularly the provision of high-end hardware and AI tools, directly supports the operational efficiency of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Media, Technology, Creativity, and Operations, with a strong focus on US TV and entertainment clients.

Company Size: 175+ people, an established international, remote-first team.

Founded: 2008, with over 15 years of experience serving globally recognized brands.

Team Structure:

• Cross-Functional Collaboration: Work alongside Production Managers, Creative Teams, and Account Teams within a globally distributed, remote-first environment.

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

• AI Integration Across Teams: AI is central to how every team operates, including this design role, indicating a company-wide commitment to leveraging AI for efficiency and innovation.

Methodology:

• AI-Centric Operations: The company actively uses AI not just as a tool, but as a foundational element of its operations, from content production to workflow design and product development.

• Process Improvement & Ownership: Strong encouragement for team members to propose and develop better ways of working, with successful methods being codified, taught, and adopted as company standards.

• Data-Driven Decision Making: Emphasis on using both qualitative and quantitative signals to iterate and improve products and processes.

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

📝 Enhancement Note: Storm Ideas presents itself as an innovative, AI-native company that values operational efficiency and empowers its employees to drive process improvements. This culture is highly relevant for operations professionals who thrive in environments focused on measurable impact and continuous advancement.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level "craft role" focusing on execution and iterative improvement within the product design domain, with a significant AI component. It's not a management role but one where individual contribution and technical skill are paramount. The expectation to "own your work" and have methods become team standards suggests potential for informal leadership and influence.

Reporting Structure: While not explicitly stated, the role involves collaboration with Product, Engineering, and Solutions teams. Given the "craft role" description and emphasis on individual contribution, direct management might be limited, with reporting likely to a Design Lead or Head of Product/Design.

Operations Impact: The role's impact is measured by its contribution to shipping thoughtful product improvements, accelerating idea-to-release cycles through AI, and ensuring product consistency and usability. By making things measurable and iterating based on data, this role directly influences product success and client satisfaction, which are key GTM outcomes. The ability to encode and share effective methods also amplifies operational impact across the organization.

Growth Opportunities:

• Skill Specialization in AI Design: Deepen expertise in AI-assisted design workflows, prompt engineering, and integrating AI into the full product lifecycle.

• Process Development and Standardization: Opportunity to develop and champion new operational processes and methodologies that become company standards, potentially leading to recognition and influence.

• Cross-Disciplinary Learning: Gain exposure to front-end development, AI APIs, and various aspects of media/entertainment tech through collaboration with diverse teams.

• Contribution to Design Systems: Grow expertise in scalable design systems and component-based architecture.

📝 Enhancement Note: The growth opportunities are heavily skewed towards technical and operational skill development within the AI and design domains. The emphasis on "your methods can become how the team works" is a strong indicator of potential for impact and influence beyond a standard individual contributor role, aligning with operations career progression.

🌐 Work Environment

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

Office Location(s): Fully remote within Tunisia. This specific geographic focus for remote work is a key characteristic.

Workspace Context:

• Technology-Rich Environment: Provision of high-end computers, the latest creative software, and a comprehensive AI stack, ensuring team members have the tools to be highly productive.

• Collaborative Remote Culture: Emphasis on open communication, feedback exchange, and team-based work despite the physical distance.

• Process-Driven Operations: The environment supports the development and adoption of new methods, encouraging efficiency and innovation in how work is produced.

Work Schedule: Full-time, remote within Tunisia. While specific hours aren't detailed, the remote nature suggests a degree of flexibility, balanced with the need for collaboration and timely delivery.

📝 Enhancement Note: The remote-first, geographically specific nature (Tunisia) is a significant factor. The provision of advanced technology and tools underscores an operational commitment to enabling high performance in a distributed team.

📄 Application & Portfolio Review Process

Interview Process:

• Stage 1: Initial Interview (MS Teams): A get-to-know-you session focused on understanding your thinking and working style, and answering your questions. Preparation should focus on articulating your design philosophy and how you approach problems.

• Stage 2: Practical Task: A short, time-boxed product design exercise. This will assess your decision-making, trade-off analysis, and proficiency with AI and prototyping tools. Focus on demonstrating your process and rationale, not just the final output.

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

Portfolio Review Tips:

• Highlight AI Integration: Specifically showcase projects where AI was used to accelerate design, prototyping, or development. Explain the tools and methods used.

• Demonstrate End-to-End Ownership: Show cases where you owned a feature from problem framing to shipped release, including post-launch analysis.

• Showcase Problem-Solving: Detail how you approached ambiguous problems, the trade-offs you considered, and why you made specific design choices.

• Quantify Impact: Whenever possible, include metrics or qualitative feedback that demonstrate the impact of your work after it was shipped.

• Focus on Process, Not Just Pixels: Explain your thought process, iterations, and the tools you employed throughout the design lifecycle.

Challenge Preparation:

• Understand the AI-First Mandate: Be ready to discuss how AI is changing product design and how you envision integrating AI into your workflow.

• Prepare Case Studies: Have 1-2 detailed case studies ready that exemplify your skills in product design, AI utilization, problem-solving, and end-to-end ownership.

• Articulate Trade-offs: Practice explaining difficult design decisions and the compromises made, especially in the context of rapid iteration and AI-driven development.

• Research Storm Ideas: Understand their focus on US TV/entertainment and their AI-native approach to operations and product development.

📝 Enhancement Note: The interview process emphasizes practical application and process over a traditional CV. The portfolio review is critical and should highlight operational aspects like efficiency, iteration speed, and measurable outcomes, particularly those driven by AI.

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Assistants: (e.g., GitHub Copilot, Cursor, Claude Code) - Expected to be used extensively for rapid prototyping and development.

• AI APIs: Potential for direct integration or utilization of AI models for design or functionality.

• Prototyping Tools: (e.g., Figma, Sketch, Adobe XD, or similar) - Standard tools for UI/UX design and wireframing.

• Design System Tools: Tools and methodologies for creating, managing, and contributing to design systems.

Analytics & Reporting:

• Qualitative and Quantitative Signal Analysis: Ability to interpret user feedback, A/B test results, and performance metrics to inform design iterations.

• Instrumentation Support: Assisting in defining and implementing feature tracking for performance measurement.

CRM & Automation:

• Not explicitly mentioned: While not a direct requirement for the designer, understanding how designs integrate with broader customer journeys and automated workflows could be beneficial.

📝 Enhancement Note: The explicit mention of an "AI stack" and "AI Operations team" suggests a highly integrated and modern technology environment. Proficiency with AI-assisted design and development tools is paramount, indicating a strong operational focus on leveraging technology for speed and efficiency.

👥 Team Culture & Values

Operations Values:

• AI-Centricity: A core belief in the transformative power of AI in all aspects of work, from design to operations.

• Craftsmanship and Excellence: A commitment to high-quality design and development, with a focus on thoughtful, well-executed product improvements.

• Efficiency and Speed: A drive to move quickly, iterate rapidly, and deliver value through smart, optimized processes, heavily leveraging AI.

• Continuous Learning and Improvement: An open culture that encourages experimentation, sharing knowledge, and evolving methods.

• Ownership and Accountability: Team members are expected to own their work, from conception to delivery and iteration.

Collaboration Style:

• Remote-First Communication: Reliance on digital tools (like MS Teams) for clear, consistent, and asynchronous communication.

• Constructive Feedback Culture: Active participation in design and code reviews, valuing both giving and receiving feedback to improve outcomes.

• Team-Based Problem Solving: Collaborative approach to tackling challenges, leveraging diverse perspectives within the international team.

• Knowledge Sharing: Encouragement to share learnings and best practices, contributing to the collective operational intelligence of the company.

📝 Enhancement Note: The values align closely with those found in high-performing operations teams: a focus on efficiency, data-driven iteration, continuous improvement, and leveraging technology (in this case, AI) to achieve goals.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Probabilistic Systems: Adapting design strategies for AI-driven systems that can be occasionally unpredictable or change dynamically.

• Balancing AI Speed with Design Craft: Integrating AI tools efficiently without compromising the core principles of thoughtful interaction and visual design.

• End-to-End Ownership in a Remote Setting: Maintaining focus and driving projects to completion effectively within a distributed team structure.

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI tools and methodologies relevant to product design.

Learning & Development Opportunities:

• Mastery of AI Design Tools: Becoming a go-to expert in cutting-edge AI tools and their application in product design.

• Process Innovation: Opportunity to develop and implement new operational workflows that leverage AI for enhanced efficiency and effectiveness.

• Cross-Functional Exposure: Gaining insights into product management, engineering, and client operations within the media and entertainment sector.

• Mentorship and Knowledge Sharing: Contributing to and benefiting from a culture of open learning and peer-to-peer skill development.

📝 Enhancement Note: The challenges and growth opportunities are directly tied to the AI-first nature of the role and the company's operational ethos. Successfully navigating these challenges leads to significant professional development in a high-demand area.

💡 Interview Preparation

Strategy Questions:

• "How do you envision using AI assistants to accelerate the product design process from ideation to a shipped feature?" (Focus on specific tools, workflows, and efficiency gains).

• "Describe a time you had to design for a system that was probabilistic or occasionally incorrect. What was your approach, and what were the trade-offs?" (Demonstrate comfort with AI's nature and problem-solving skills).

• "Walk us through a product improvement you designed from start to finish. What was the problem, your process, the trade-offs, and what happened after it shipped?" (Emphasize end-to-end ownership, process, and measurable outcomes). Company & Culture Questions:

• "What excites you most about an 'AI-First' approach to product design and operations?" (Showcase genuine interest and alignment with company values).

• "How do you approach giving and receiving feedback in a remote team environment?" (Highlight communication and collaboration skills).

• "How do you ensure your designs are measurable and contribute to business objectives?" (Connect design work to operational impact and KPIs). Portfolio Presentation Strategy:

• Structure with a Narrative: For each project, clearly define the problem, your role, the process (especially AI integration), the solutions explored, the final design, and the post-launch impact or learnings.

• Highlight AI Use Cases: Dedicate specific sections or callouts to demonstrate how AI tools were leveraged and the benefits they provided (e.g., speed, novelty, efficiency).

• Showcase Trade-offs: Be prepared to articulate difficult decisions and why certain paths were chosen over others, especially when balancing speed, scope, and quality.

• Quantify Results: Present metrics, user feedback, or performance data that illustrate the success and impact of your shipped work.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skills, but also an understanding of operational efficiency, AI integration, and the ability to deliver measurable results in a remote setting.

📌 Application Steps

To apply for this AI-First Product Designer position:

• Submit your application through the provided link on Storm Ideas' careers portal.

• Tailor your CV/Resume: Emphasize experience with AI tools, end-to-end product design ownership, rapid prototyping, and any contributions to design systems or process improvements. Quantify achievements where possible.

• Prepare your Portfolio: Curate examples that clearly demonstrate your design process, AI integration, problem-solving skills, and the impact of your shipped work. Be ready to discuss the "why" behind your decisions.

• Practice your Pitch: Rehearse articulating your design philosophy, your excitement for AI, and your approach to collaboration and problem-solving, especially for the initial interview.

• Research Storm Ideas: Familiarize yourself with their work in the US TV and entertainment industry and their AI-native operational model to demonstrate genuine interest and cultural fit.

⚠️ 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.