Product Designer
斯帕特是美容，健康和食品饮料领域的消费品牌的一个趋势智能平台。我们分析匿名，综合公共消费数据以早期发现新兴趋势并解释它们为什么正在增长，以便品牌可以自信地做出产品和营销决策。我们的创始人耶登·霍尔维茨和奥利弗•齐默 (Olivier Zimmer) 开始了谷歌的趋势点击部门，并在主流之前称呼瓜，冷酒和面具等趋势.Späte 由 Y Combinator 支持，包括 Sephora,L'Oréal Paris,Estée Lauder 公司，Unilever,P&G 等200多家品牌使用它。我们的数据经常出现在"纽约时报",WWD,英国杂志和时尚之业.#### **关于角色**我们正在寻找一名兼职合同产品设计师来塑造 Spates 核心产品：品牌团队探索趋势，构建报告并与我们的 AI 助理合作的仪表板。在接下来的一年或两年里，我们的平台将会发生很大的变化，因为我们重建了基于 LLM 的功能。我们已经运送了一个 AI 助手，AI 报告 （一个由 LLM 驱动的仪表架构者）,以及内置仪表盘总结和分析。我们需要有人能够确定这些经验应该是什么，而不是它们应该如何看起来。我们的用户是品牌创新团队，产品营销人员，社交媒体团队和机构。大多数人不是数据分析师，所以大部分工作都在将密集趋势数据转化为清晰可操作的事情。你会加入 Frontend & UX 团队，包括你自己，并与我们的前端领先公司紧密合作。这个角色完全远程兼职，每周约20小时。你需要以美国中央时间 (UTC−6) 或美国东方时间 (UCC-5) 为基础。我们要求你在9:00 AM~12:00 PM 东方核心协作时间提供服务。_**这是一个遥控，兼职承包商职位.**_#### ***** 在 Spaté,产品设计和 UI/UX 设计都会发生在一起。功能尚未完全定义并将交给一个设计师。你将帮助决定我们构建什么以及为什么，并在首次对话到发布时就参与其中。你将与我们的前端领导合作选择适合每个问题的产品：书面建议，用户流动，原型或完整的 Figma 规范。找到值得解决的问题。通过客户电话，反和使用数据来自行寻找用户痛苦点。然后从问题到提案：框架问题，探索选项，并提出方向。L
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Spate is a trend intelligence platform for consumer brands in beauty, wellness, and food and beverage. We analyze anonymous, aggregated public consumer data to spot emerging trends early and explain why they're growing, so brands can make product and marketing decisions with confidence.
Our founders, Yarden Horwitz and Olivier Zimmer, started Google's Trendspotting division and called trends like turmeric, cold brew, and face masks before they went mainstream. Spate is Y Combinator-backed, and more than 200 brands use it, including Sephora, L'Oréal Paris, Estée Lauder Companies, Unilever, P&G, and e.l.f. Our data regularly appears in The New York Times, WWD, British Vogue, and The Business of Fashion.
#### **About the role**
We're looking for a part-time contract product designer to shape Spate's core product: the dashboard where brand teams explore trends, build reports, and work with our AI assistant.
Our platform will change a lot over the next year or two as we rebuild around LLM-powered features. We already ship an AI Assistant, AI Reports (an LLM powered dashboard builder), and in-dashboard summaries and analysis. We need someone who can work out what those experiences should be, not just how they should look.
Our users are brand innovation teams, product marketers, social media teams, and agencies. Most aren't data analysts, so much of the job is turning dense trend data into something clear and actionable.
You'll join the Frontend & UX team, four people including you, and work closely with our frontend lead. The role is fully remote and part-time, about 20 hours a week. You’ll need to be based in US Central Time (UTC−6) or US Eastern Time (UTC-5). We require you to be available for core collaboration hours of 9:00 AM–12:00 PM Eastern.
_**This is a remote, Part-time contractor position.**_
#### **What you'll own**
The product, not just the screens. At Spate, product design and UI/UX design happen together. Features aren't fully defined and then handed to a designer. You'll help decide what we build and why, and stay involved from the first conversation to launch. You'll work with our frontend lead to choose the right deliverable for each problem: a written proposal, a user flow, a prototype, or a full Figma spec.
Finding problems worth solving. Find user pain points on your own, through customer calls, feedback, and usage data. Then take them from problem to proposal: frame the problem, explore options, and make the case for a direction. Leadership sets the overall direction and can help point you at problems, but you won't need our input to get started.
How our AI features work. Decide when something should be a chat, a report, or an inline summary. Define how we show where an insight came from, and how we handle loading, uncertainty, and wrong answers. Help shape the voice and structure of AI-generated insights, because in an LLM product the words are part of the UX.
The design system. We have a Figma library and a React component library that are only loosely in sync. You'll own the system's principles and the Figma side, and partner with our frontend engineers to make the two a single source of truth. The goal is that everyday design decisions are answered by the system, so engineers can ship UI that feels like Spate without waiting on design.
AI quality, over time. As the role settles in, you'll help define what a good AI answer looks like for our users, and contribute to how we review user feedback and evaluate our LLM features.