AI First Product Designer

📍 Job Overview

Job Title: AI First Product Designer

Company: Storm Ideas

Location: 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

• Design and ship end-to-end product improvements, from initial problem framing to final release, with a focus on user experience and business impact.

• Leverage AI agents, coding assistants, and advanced design tooling to rapidly prototype and iterate on product ideas, ensuring early testing of real interactions.

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

• Collaborate closely with Product, Engineering, and Solutions teams to define and implement pragmatic, customer-centric solutions within the entertainment and media sectors.

• Define success metrics, instrument features, and utilize qualitative and quantitative data to drive continuous iteration and product optimization.

📝 Enhancement Note: While the title is "Product Designer," the emphasis on AI agents, automation, and operational efficiency in product development and content production positions this role within a broader GTM Operations and Product Operations context, particularly for a company that explicitly states "AI is central to how we operate—every team, every role." The requirement to "make things measurable" and "use qualitative and quantitative signal to iterate" strongly aligns with operational excellence principles.

📈 Primary Responsibilities

• Own the complete product design lifecycle for well-scoped improvements, from ideation and wireframing to high-fidelity UI and successful release.

• Utilize AI coding assistants and design tools to transform concepts into functional prototypes rapidly, facilitating early validation of user interactions.

• Develop and refine UX copy, including prompts, system messages, empty states, and model-facing instructions, as integral elements of the product design.

• Collaborate with cross-functional teams, including Product Managers, Engineers, and Solutions Architects, to scope and deliver simple, effective solutions for clients.

• Establish key performance indicators (KPIs) for new features, assist in their instrumentation, and leverage both qualitative and quantitative feedback for iterative improvements.

• Contribute to the evolution and maintenance of the design system by creating and documenting components, patterns, and guidelines to ensure product consistency across web and mobile platforms.

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

• Actively participate in design and code reviews, provide and receive constructive feedback, and engage in pairing sessions with teammates to foster a culture of continuous learning and knowledge sharing.

• Manage personal task planning, communicate progress effectively, and ensure the successful delivery of high-quality product releases.

📝 Enhancement Note: The responsibilities clearly delineate a full-stack product design role but with a distinct operational focus on efficiency, iteration, and measurable outcomes, driven by AI. The emphasis on "owning your work," "planning your tasks," and "communicating progress" are core to effective operations management within a product development context.

🎓 Skills & Qualifications

Education: A design degree is not a mandatory requirement; backgrounds from self-taught paths, bootcamps, or adjacent disciplines are welcomed.

Experience: Mid-level experience, typically 2-5 years, in product design with a strong emphasis on AI-assisted workflows.

Required Skills:

• Mandatory AI Enthusiasm: Genuine excitement for AI and AI-assisted design; active or eager use of LLMs, AI coding assistants, and AI APIs for accelerated workflows.

• Core Product Design Craft: Proficiency in interaction design, information architecture, visual hierarchy, and typography, enabling the transformation of ambiguous problems into clear, usable interfaces.

• Portfolio of Thinking: A portfolio showcasing the problem-solving process, considered options, design trade-offs, and post-launch outcomes, rather than solely final screens.

• Ambiguity Tolerance: Ability to design for probabilistic systems that may change or be occasionally imperfect.

• Clear Problem-Solving: Aptitude for breaking down tasks, reasoning from first principles, and articulating trade-offs concisely.

• Reliability & Follow-Through: Demonstrated ability to meet deadlines, proactively communicate blockers, and ensure successful project completion.

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

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

• Technical Infrastructure: Reliable and consistent internet access 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 integrating AI APIs.

• Front-End Literacy: Sufficient knowledge of HTML/CSS, and ideally 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 design systems, accessibility standards, and advanced motion and prototyping tools.

• Personal Projects: Side projects, personal code repositories, or documented AI experiments that demonstrate learning and initiative.

📝 Enhancement Note: The "genuine excitement for AI" is a critical filter, indicating the company's AI-native approach and expecting candidates to be proactive in leveraging these tools for operational efficiency in design. The emphasis on a portfolio that shows "thinking, not just screens" and "what happened after it shipped" aligns with an operations mindset focused on outcomes and continuous improvement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Problem Definition & Solution Evolution: Showcase clear articulation of the problem space, the exploration of alternative solutions, and the rationale behind design decisions and trade-offs.

• AI Tool Integration: Demonstrate how AI tools and agents were leveraged in the design process to accelerate prototyping, ideation, or iteration cycles.

• Outcome-Oriented Case Studies: Present case studies that detail the impact of your design work, including qualitative and quantitative results, and what was learned post-launch.

• Process Documentation: Include examples of how you approach documenting design processes, system components, or user flows to ensure consistency and scalability.

• Interaction & Visual Design: Clearly present wireframes, high-fidelity UIs, and prototypes that highlight your core craft in interaction and visual design.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've mapped out and improved existing workflows or designed new ones, with a focus on efficiency gains.

• System Component Contribution: Evidence of contributions to design systems, including new components, patterns, or documentation that enhance consistency and developer efficiency.

• Data-Driven Iteration: Demonstrate how you've used data (qualitative and quantitative) to inform design decisions and iterate on shipped features.

📝 Enhancement Note: The requirement for a portfolio that shows "thinking, not just screens" and "what happened after it shipped" is a direct call for demonstrating an operations-centric approach to design. Candidates should highlight how their design processes lead to measurable improvements and efficient outcomes, particularly through the use of AI.

💵 Compensation & Benefits

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

Explanation of Salary: This figure represents the maximum annual salary for this role. Given the role's specific remote nature within Tunisia and the specialized skill set involving AI-first product design, this range is benchmarked against comparable mid-level product design roles in emerging tech hubs and the broader European market, considering the company's stated benefits and the AI-centric nature of the position.

Benefits:

• Generous Paid Leave: 33 days of paid leave per year, offering excellent work-life balance.

• High-End Hardware: Provision of a high-end, fast computer to ensure optimal performance and productivity.

• Creative Software Suite: Access to the latest professional creative software necessary for design tasks.

• AI Tooling Access: Comprehensive access to all the latest AI tools required for the role, supported by an AI Operations team.

• Permanent Employment Contract: Full-time, permanent employment contract, providing job security and stability.

Working Hours: The role is full-time, implying approximately 40 hours per week, with flexibility inherent in a remote-first environment.

📝 Enhancement Note: The salary is stated as a maximum, so candidates should be prepared to negotiate based on their experience and demonstrated skills, particularly in AI-assisted design and operational efficiency. The benefits package is robust, emphasizing remote work support and cutting-edge technology.

🎯 Team & Company Context

🏢 Company Culture

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

Company Size: 175+ people, indicating a medium-sized, dynamic organization with established processes but still agile enough for significant impact.

Founded: 2008, suggesting a mature company with a history, now evolving rapidly with AI integration.

Team Structure:

• Cross-Functional Collaboration: The role involves working with production managers, creative teams, and account teams, indicating a highly collaborative and integrated structure.

• AI-Native Operations: AI is central to how the company operates, with specialized AI Operations support, implying a forward-thinking, technology-driven operational framework.

• Remote-First Environment: The team is international and operates remotely, fostering a culture of autonomy, trust, and asynchronous communication.

Methodology:

• AI-Centric Development: A core methodology is the use of AI agents, coding assistants, and rapid prototyping environments to accelerate product development and content production.

• Process Innovation: The company actively encourages employees to propose and implement better ways of working, with successful methods being codified and taught to the team.

• Data-Driven Iteration: A focus on defining success metrics, instrumenting features, and using data to guide continuous improvement cycles.

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

📝 Enhancement Note: Storm Ideas presents itself as a company at the forefront of integrating AI into its core operations, not just as a tool but as a foundational element. This implies a culture that values innovation, efficiency, and continuous learning, with a strong emphasis on practical application and measurable results.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer, but with a significant emphasis on operationalizing design through AI. The scope includes end-to-end ownership of product improvements, making it a role with considerable autonomy and impact. The "craft role" description suggests deep involvement in the execution rather than high-level strategy, but the potential to influence team methodologies offers a growth path.

Reporting Structure: You will work with production managers, creative teams, and account teams. The specific reporting line for this design role is not detailed but implies collaboration across various functional areas.

Operations Impact: Your work directly impacts the efficiency of product development and content creation processes by leveraging AI. By designing smarter tools, systems, and workflows, you contribute to the company's overall operational excellence and its ability to serve globally recognized brands effectively. The potential to have your methods become team standards highlights a significant operational influence.

Growth Opportunities:

• Methodology Development: Opportunity to develop and codify new working methods, particularly those leveraging AI, which can lead to internal recognition and leadership in operational best practices.

• Skill Specialization: Deepen expertise in AI-assisted design, rapid prototyping, and UX writing for AI-driven systems, becoming a specialist in a high-demand field.

• Cross-Functional Expertise: Gain exposure to various aspects of media and entertainment operations, including content production, client management, and engineering, broadening your understanding of GTM dynamics.

• Leadership in Innovation: Potential to lead initiatives in adopting and optimizing new AI technologies and design workflows within the company.

📝 Enhancement Note: The growth path here is less about traditional hierarchical advancement and more about evolving expertise and influencing operational methodologies. Candidates should view this as an opportunity to become a leader in AI-driven design operations.

🌐 Work Environment

Office Type: Fully remote.

Office Location(s): Remote working from anywhere in Tunisia.

Workspace Context:

• Asynchronous Collaboration: The remote-first nature necessitates strong asynchronous communication skills and reliance on digital collaboration tools.

• Technology-Rich Environment: Access to high-end hardware, professional software, and a dedicated AI stack ensures a productive and modern workspace.

• Operational Focus: The environment is geared towards efficient execution, rapid iteration, and continuous improvement, driven by AI and a culture that values innovation.

Work Schedule: Full-time, with flexibility inherent in a remote setup, allowing for focus on deep work and iterative processes essential for design and operations.

📝 Enhancement Note: The "fully remote within Tunisia" specification is a key detail for candidates. The emphasis on AI tools and high-end hardware indicates a commitment to providing a productive and cutting-edge remote working experience.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Application review focusing on CV/resume and any optional work samples.

• First Interview (MS Teams): Get to know each other, assess thinking processes, work style, and answer candidate questions. This stage will likely probe your approach to AI integration and problem-solving.

• Practical Task: A time-boxed product design exercise focusing on realistic problems. Evaluation criteria include decision-making, trade-off considerations, and the effective use of AI and prototyping tools. This is where demonstrating operational efficiency in design will be key.

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

Portfolio Review Tips:

• Show, Don't Just Tell: Clearly demonstrate the problem, your thought process, the options considered, and the impact of your work.

• Highlight AI Integration: Explicitly show how AI tools were used to accelerate your workflow, prototype ideas, or solve design challenges. Quantify the efficiency gains if possible.

• Focus on Outcomes: Detail what happened after the design shipped – what were the results, and how did you measure them? This demonstrates an operations mindset.

• Process Transparency: Explain your design process, emphasizing how you break down problems, manage trade-offs, and iterate based on feedback and data.

• Conciseness is Key: While thoroughness is important, be direct and impactful. Focus on the most relevant projects that showcase your AI-first approach and design craft.

Challenge Preparation:

• AI Tool Proficiency: Be ready to demonstrate or discuss your practical experience with specific AI design and coding tools mentioned (v0, Cursor, Claude Code, etc.).

• Problem Decomposition: Practice breaking down ambiguous problems into clear, actionable steps, and articulating the trade-offs involved.

• Outcome Articulation: Prepare to discuss how you define and measure success for product features, and how you use data to drive iteration.

• Remote Collaboration: Be ready to discuss how you collaborate effectively in a remote, asynchronous environment.

📝 Enhancement Note: The emphasis on the practical task and portfolio review means candidates must prepare to show their AI-first methodology and operational thinking, not just talk about it. The company explicitly states they are "more interested in your craft, your judgment, and how you work with AI than in a perfect traditional CV."

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Assistants: Such as GitHub Copilot, or similar tools integrated into IDEs like Cursor.

• AI Design & Prototyping Tools: Tools like v0, Claude Code, or other AI-powered platforms for generating UI components and prototypes.

• Standard Design Software: Professional creative software for wireframing, UI design, and prototyping (e.g., Figma, Sketch, Adobe Creative Suite).

• Collaboration Platforms: MS Teams for interviews, and likely other tools for project management and communication in a remote setting.

Analytics & Reporting:

• Product Analytics Tools: To instrument features and gather qualitative and quantitative signals for iteration (specific tools not named, but expectation is to define and use them).

• Data Visualization Tools: For reporting on feature performance and communicating insights to stakeholders.

CRM & Automation:

• Integration Tools: The company uses AI in operations, suggesting potential integration needs or familiarity with API connections for AI services.

• Workflow Automation: While not explicit, the company's AI-native approach implies an interest in and potential use of tools that automate repetitive tasks in design and development workflows.

📝 Enhancement Note: The explicit mention of "AI agents, design tools, APIs, and rapid prototyping environments" and "AI coding assistants" points to a modern, technology-forward stack. Candidates should be ready to discuss their experience with these types of tools and their ability to integrate them into design workflows for operational efficiency.

👥 Team Culture & Values

Operations Values:

• AI-Centric Innovation: A core value is the proactive adoption and integration of AI to drive efficiency and create novel solutions.

• Craftsmanship & Quality: A strong emphasis on core product design skills, ensuring that AI enhancements support, rather than detract from, high-quality user experiences.

• Process Improvement: A culture that actively seeks and implements better ways of working, empowering individuals to shape team methodologies.

• Data-Driven Decision Making: A commitment to using metrics and feedback to guide product iterations and ensure measurable impact.

• Reliability & Follow-Through: A value placed on dependability, meeting commitments, and delivering high-quality results.

Collaboration Style:

• Remote & Asynchronous: Designed for effective collaboration across distributed teams, relying on clear communication and digital tools.

• Feedback-Oriented: An open culture for giving and receiving feedback in design and code reviews, fostering continuous learning and improvement.

• Knowledge Sharing: Encouragement to share learnings and best practices, with successful methods being integrated into team standards.

• Cross-Functional Partnership: Close collaboration with Product, Engineering, and Solutions teams to ensure cohesive product development and client satisfaction.

📝 Enhancement Note: The company culture values proactive adoption of AI, rigorous design craft, and a commitment to operational excellence through continuous process improvement and data-driven insights.

⚡ Challenges & Growth Opportunities

Challenges:

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

• Balancing AI Efficiency with Craft: Ensuring that the rapid iteration enabled by AI doesn't compromise the depth of product thinking and the quality of the final design.

• Defining and Measuring AI Impact: Establishing clear metrics for AI-assisted features and demonstrating their ROI can be challenging.

• Integrating New Tools: Staying abreast of and effectively integrating rapidly evolving AI design and coding tools into existing workflows.

Learning & Development Opportunities:

• AI Specialization: Become an expert in AI-first product design, mastering cutting-edge tools and techniques.

• Methodology Leadership: Opportunity to shape and lead the adoption of new operational processes and AI workflows within the design team and beyond.

• Cross-Disciplinary Exposure: Gain deep insights into the media and entertainment industry, product development, and AI operations.

• Continuous Skill Enhancement: Access to the latest creative software and AI tools, along with a culture that supports learning and experimentation.

📝 Enhancement Note: The challenges are inherent to working at the cutting edge of AI integration. The growth opportunities are significant for individuals looking to become leaders in AI-driven product development and operations.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "Describe a time you used AI tools to accelerate a design process. What were the trade-offs, and how did you ensure the quality of the output?" (Focus on methodology, efficiency gains, and quality assurance).

• Problem-Solving Approach: "Walk us through how you would approach designing a feature for a probabilistic AI system. How would you ensure user trust and manage potential errors?" (Highlight first principles, trade-off analysis, and user-centricity).

• Metrics and Iteration: "How do you define 'good' for a feature, especially one involving AI? How would you instrument it, and what kind of data would you look for to iterate?" (Demonstrate understanding of KPIs, data collection, and iterative design processes).

Company & Culture Questions:

• AI-First Mindset: "What excites you most about an 'AI-First' approach to product design? How do you see AI changing the role of a product designer?" (Show genuine enthusiasm and forward-thinking perspective).

• Remote Collaboration: "Describe your experience working in a fully remote, asynchronous environment. What strategies do you use to stay productive and collaborate effectively?" (Highlight communication skills, autonomy, and proactive engagement).

• Operational Impact: "How do you ensure your design work has a measurable impact on business goals or operational efficiency?" (Connect design decisions to tangible outcomes and ROI).

Portfolio Presentation Strategy:

• Problem-Solution Narrative: Clearly articulate the problem, your rationale for the chosen solution, and the specific constraints or trade-offs you managed.

• Highlight AI's Role: Explicitly demonstrate how AI was used and the tangible benefits it provided (e.g., faster prototyping, novel solutions, improved iteration speed).

• Showcase Iteration: Present the evolution of your design based on feedback, data, or further AI exploration.

• Outcome Focus: Conclude with the results achieved, using metrics where possible, and share key learnings.

• Concise and Engaging: Be prepared to walk through your projects efficiently, focusing on the most impactful aspects relevant to the role.

📝 Enhancement Note: Interview preparation should heavily emphasize demonstrating practical application of AI tools, a clear understanding of product operations principles (measuring impact, iteration), and comfort with ambiguity inherent in AI-driven development.

📌 Application Steps

To apply for this AI First Product Designer position:

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

• Curate Your Portfolio: Select 2-3 projects that best showcase your core product design craft, your experience with AI tools, and your ability to deliver end-to-end solutions. Ensure each project clearly outlines the problem, your process (especially AI integration), the trade-offs considered, and the outcomes.

• Optimize Your Resume: Highlight keywords such as "AI-assisted design," "LLMs," "rapid prototyping," "UX writing," "interaction design," "product operations," and any specific AI tools you have experience with. Quantify achievements where possible.

• Prepare for Interview Questions: Practice articulating your thought process for AI-driven design challenges, your approach to problem-solving from first principles, and your understanding of measuring design impact. Be ready to discuss your remote work strategies.

• Research Storm Ideas: Understand their work in the US TV and entertainment industry, their AI-native approach, and their company values. This will help you tailor your responses and demonstrate 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.

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