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 companies like SecurityScorecard, Webflow, The Linux Foundation, Cloud Academy, and SamCart.Our platform empowers AI agents with a universal semantic foundation — enabling autonomous analytics at scale while maintaining the same consistency, security, and performance across BI tools, spreadsheets, and embedded applications.
As a Full-Stack Engineer at Cube, you will work across the frontend and backend of Cube Cloud platform and developer-facing tools. Your goal will be to deliver high-quality product features that make complex analytics infrastructure intuitive, powerful, and accessible to developers and data teams.
You will collaborate closely with product, design, and core engineering teams to turn complex technical capabilities into simple, well-designed user experiences.
What you will do:- Building and evolving the Cube Cloud platform web application and developer-facing interfaces.
- Designing and implementing backend APIs that power configuration, management, and analytics workflows.
- Translating complex analytics concepts into clear and usable UI/UX.
- Improving performance, reliability, and scalability of end-user features.
- Working with large datasets and real-time analytics results in frontend applications.
- Collaborating with Core engineers to integrate new Cube capabilities into the product.
- Strong experience with JavaScript/TypeScript and modern frontend frameworks (React).
- Solid backend experience with Node.js or similar server-side runtimes.
- Experience designing and consuming REST or GraphQL APIs.
- Understanding of web application performance, security, and scalability.
- Ability to work across the stack and take ownership of features end to end.
- Good communication skills and product-oriented mindset.
- Fluent English.
- Experience working with data-heavy or analytics-driven products.
- Familiarity with SQL and analytical databases.
- Experience with cloud platforms (AWS, GCP) and containerized environments.
- Background in UX/UI design collaboration or design systems.
- Contributions to open-source projects, especially developer tools.
We’re a fully remote company based in San Francisco. You can work from anywhere and be part of a fast-moving, product-driven team.
Cube does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. If you need reasonable accommodations during the interview process, please discuss this with the recruiter and we'll gladly work with you.
Top Skills
What We Do
Cube is the universal semantic layer that makes it easy to connect data silos, create consistent metrics, and make them accessible to all of your BI tools, customer-facing embedded analytics, as well as LLMs, AI chatbots, and agents.
Cube is the company behind the wildly popular Cube open source project and delivers the Enterprise-ready Cube Cloud that includes additional functionality - such as integrations with Power BI, Tableau, and Looker - along with robust developer tools, observability, security, and compliance making it easy to quickly deploy, monitor, and use Cube across any sized business.
Companies such as Drift, Cloud Academy, Security Scorecard, Intuit, Walmart and IBM trust Cube to deliver amazing data experiences to their customers and employees. Cube is supported by investors such as Bain Capital and Decibel and is located in San Francisco, CA









