Product Engineer
在 Cube,我们正在重新定义组织如何交付，消费和自动化数据和分析在团队，工具和人工智能代理中。我们的使命是使 Agentic Analytics 能够与人类一起工作的 AI 代理人在一个共享的语义基础上。如果你对构建核心数据和 AI 基础设施感兴趣，这类技术支持全球最先进的公司的分析，但想要创业公司的灵活性和所有权，Cube 就是你将壮成长的地方。拥有19,000多个 GitHub 星球和13,000多个社区成员，Cube 被400多家公司信任，包括 Maersk,Kimberly-Clark,Freshworks,Patagonia,Webflow,Brex, Deel,Tubi,Walmart 和 Drata. 我们的平台赋予人工智能代理人具有普遍的语义基础，同时保持 BI 工具，电子表格和嵌入式应用程序中的一致性，安全性和性能。作为立方产品工程师，你将从火花到生产中采取产品想法拥有我们构建的东西以及如何构建它。你将强大的产品本能与实践工程结合起来，使人工智能和代理驱动概念成为我们的用户 （及其人工智能经纪人员）每天依赖的真正产品。你将与工程，产品和领导力密切合作在一个快速发展的环境中，运输，重复和从实际使用中学习比标题或过程更重要。你会做什么：· 从概念到生产中采取产品想法 拥有"什么"和"如何". ·专注于人工智能和代理经验的核心产品功能，建立，原型和出货。· 将用户需求和业务目标转化为实用，工作软件。·探索实用的 AI 应用案例并将最有前途的情况转化为真正的产品价值。· 与工程和产品紧密合作，迅速，健全地作出技术决策。· 根据用户反，使用数据和你自己的产品判断，快速进行回复。你是谁：· 有强大的产品思维方式：• 在用户价值，结果和实际构建的方面，你认为有什么值得建立。·你是一个实践工程师，舒适地拥有和运输生产代码。·你对人工智能，代理商以及数据和分析空间感到真正兴奋，并希望在其中建设。·你很满意模糊性，并且喜欢塑造问题，而也像解决它们一样。·你是一位强大沟通者，在远程，无同步团队中繁荣。·你熟练讲英语。奖金点：· 经验数据构建，分析或 AI p
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At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation
If you're fascinated by building core data and AI infrastructure, the kind that powers analytics at the world's most advanced technology companies, but want the agility and ownership of a startup, Cube is where you'll thrive.
With 19,000+ GitHub stars and 13,000+ community members, Cube is trusted by 400+ companies, including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata. Our platform empowers AI agents with a universal semantic foundation, enabling autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.
As a Product Engineer at Cube, you'll take product ideas from spark to production — owning both what we build and how we build it. You'll pair strong product instincts with hands-on engineering to turn AI- and agent-driven concepts into real products that our users (and their AI agents) rely on every day.
You'll work closely with engineering, product, and leadership in a fast-moving environment where shipping, iterating, and learning from real usage matter more than titles or process.
What you will do:
- Take product ideas from concept to production — owning both the "what" and the "how."
- Build, prototype, and ship core product features, with a focus on AI- and agent-powered experiences.
- Turn user needs and business goals into pragmatic, working software.
- Explore practical AI use cases and turn the most promising ones into real product value.
- Make fast, sound technical decisions in close partnership with engineering and product.
- Iterate quickly based on user feedback, usage data, and your own product judgment.
Who you are:
- You have a strong product mindset — you think in terms of user value, outcomes, and what's actually worth building.
- You're a hands-on engineer, comfortable owning and shipping production code.
- You're genuinely excited about AI, agents, and the data and analytics space — and want to build in it.
- You're comfortable with ambiguity and enjoy shaping problems as much as solving them.
- You're a strong communicator who thrives in a remote, async team.
- You're fluent in English.
Bonus points:
- Experience building data, analytics, or AI products.
- Background in startups or scale-ups with hybrid or fast-evolving roles.
- Practical experience with AI technologies, LLMs, or agent-based systems.
- Familiarity with modern backend architectures, cloud platforms, or distributed systems.
- Contributions to open-source or public technical projects.
We're a fully remote company based in San Francisco. You can work from anywhere and join our highly collaborative team.
Originally posted on Himalayas