AI-First Product Designer

🇩🇿 Up to EUR 16,000 per year, on a full-time contractor contract
🌎 Fully remote, open to candidates in Algeria
🎬 Work with globally recognisable brands in US TV and entertainment
✨ A product design role with AI agents, working prototypes and real client problems at the centre of the work
💻 A high-end, fast computer and the latest software and AI tools you need

You'll sit within our design team and initially work closely with Product on one of our major entertainment products.

You take a product problem from an uncertain brief to an accepted, usable design. You work directly with clients and internal owners, turn feedback into sound decisions, and carry the work through flows, prototypes, polished UI, iteration and handoff. You do not hand over a static file and walk away.

This is a hands-on UI/UX product design role, not a pure visual design, research, strategy or AI-tool role. You are as comfortable asking the question that unlocks the problem as you are making the interface and explaining a trade-off. You listen without becoming an order taker: you find the need behind the comment, reconcile conflicts and anticipate what the client will need next.

Storm is an AI-native agency. AI tools and agentic workflows are central to how our teams work, and we hire people who want to work that way from day one.

AI-first doesn't mean AI-generated. The work itself is craft: product thinking, interaction design, information architecture and visual design. AI-first is about how it gets made. You work with agents that operate through design files and code environments, using tools such as the Figma MCP, v0, Cursor, Claude Code or similar, to explore, prototype, version and QA at a pace hands-on-keyboard alone cannot match. Some projects go further, giving us room to push what AI can make. Whatever the brief, your craft and judgment stay in charge.

You'll learn the ground first: the products, users and constraints behind the work. Flows that make a complex task feel obvious. Prototypes that answer the real question. Interfaces ready to build, not just present. Then you'll use Storm's stack of AI and creative tools to improve how product design gets done.

Founded in 2008, Storm Ideas is an international team working with globally recognised clients, particularly across the US TV and entertainment industry.

Our work sits at the intersection of media, technology, creativity, and operations. We build products, produce content at scale, design smarter ways for clients and internal teams to work, and keep looking for new ways to improve how the company operates.

We are a remote-first, fast-moving company with established clients, a growing team, and a strong appetite for better tools, better systems, and better ways of working. AI is central to how we operate: every team, every role, this one included.

• →Own well-scoped product improvements from problem framing through accepted design, implementation-ready handoff and design QA, with AI tools and agentic workflows as your default, not an afterthought.
• →Turn ambiguous client and internal requests into a clear user, problem, intended outcome, constraints, assumptions and acceptance criteria before polishing the output.
• →Produce the right mix of flows, information architecture, wireframes, working prototypes, interaction design, high-fidelity UI, design-system components and implementation-ready handoff.
• →Lead the product/design part of client conversations within agreed boundaries. Ask sharp questions, present rationale plainly and make trade-offs easy to understand.
• →Turn feedback into better design: find the need behind each comment, reconcile contradictions and decide what to apply, adapt, test, defer or escalate.
• →Anticipate client needs by spotting missing states, unclear decisions, risks and likely next questions before review, then bring a considered recommendation rather than waiting for instructions.
• →Prototype real interactions quickly with AI coding assistants and design tools so the team can test behaviour, not debate static mock-ups.
• →Work with Account Management, Product, Engineering and Solutions to choose pragmatic solutions, understand feasibility and protect design intent through build review and QA.
• →Learn existing product systems and follow established workflows so you can make routine, bounded updates, including technical steps where needed. Escalate anything outside that scope to Engineering.
• →Keep files, versions, decisions, source context and handoffs clear enough for people and agents alike to continue the work.
• →Own quality, including a critical review of anything AI touched. Surface accessibility, brand, rights, data, security, feasibility or delivery risks early.
• →Diagnose blockers first, then escalate with context, options and a recommendation. Never make unapproved commitments about scope, fees, timings or release.

• Write the words as well as the pixels. Prompts, system messages, empty states, error states, microcopy and model-facing instructions are part of the design surface.
• Define what good looks like, help make the outcome measurable and use qualitative and quantitative signals to improve what ships.
• Contribute components and patterns that keep web and mobile products consistent, accessible and maintainable.
• Keep improving how the work gets done: encode your best methods into reusable skills and workflows that agents and teammates can pick up and run, and teach what works so the whole team levels up with you.

• Strong UI/UX product design craft across interaction, information architecture, visual hierarchy, typography, accessibility and content. Your portfolio shows thinking and outcomes, not just screens.
• Evidence that you personally moved an ambiguous problem through flows, prototypes, feedback and iteration to an accepted or shipped result, including what you cut and why.
• Direct client or senior-stakeholder experience. You uncover the real need, interpret conflicting feedback, challenge weak direction constructively and follow through without overpromising.
• Demonstrable use of AI tools and agents in real work, studies or personal projects: genuine capability, not curiosity or ChatGPT for ideas.
• Comfortable using AI coding tools to turn designs into working browser prototypes and test real interactions. Previous frontend or backend experience is useful, but not required.
• The judgment to review AI output against the brief, user need, design system, accessibility bar and technical constraints. You never treat generated output as finished work.
• A systems thinker: you see repeated design and feedback work as a workflow to improve, not a list of tasks to grind through.
• High agency and follow-through. You make progress without a perfect brief, communicate early when blocked and finish well.
• Clear written and verbal English, strong remote collaboration habits and reliable internet access.
• A portfolio is essential. Side projects, a small repository or a shipped AI experiment are strong extra evidence.

A design degree is not required. We care about the quality of your craft, judgment, evidence and working method.

1. Application: Send us your CV and portfolio. Additional work - such as side projects, repositories or AI experiments - is optional but welcome.
2. Video questions: Shortlisted applicants answer four self-recorded questions so we can understand how they work, what they take ownership of and how AI has changed their practice.
3. First interview: A conversation with product/design leadership or our recruitment team, including a close look at one end-to-end portfolio case and how you handled client or stakeholder feedback.
4. Practical task: A paid exercise sent in advance, with a clear 2-3 hour timebox, built around a realistic product brief. You'll make a bounded design iteration and show your working, including how you used and checked AI. This will be followed by a live playback of your decisions and response to further feedback.
5. Second interview: A conversation with a senior leader, including a playback of your decisions, how you respond to new feedback and what you would improve on a second pass.

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