
Cube is a universal semantic layer that modernizes how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. It provides a single source of truth for…

Cube is a universal semantic layer that modernizes how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. It provides a single source of truth for…
What they do: Universal semantic layer for data and analytics (Cube open-source + Cube Cloud)
Founded: 2019
HQ / location: San Francisco, United States
Founders / leadership: Artyom Keydunov (CEO), Pavel Tiunov (CTO)
Latest known funding: $25M reported June 2024; total funding reported ~$46.7M
Data and analytics consistency, governance, and integration across tools and AI.
2019
Data and Analytics
$6.2M
Announced seed round to accelerate Cube development
$10M
$30M
$25M
Reported round announced June 2024
“Backed by a mix of institutional venture investors and strategic/backer funds including Bain Capital Ventures, Databricks Ventures, 645 Ventures, Eniac Ventures, Betaworks, Decibel Partners, Innovation Endeavors, Slack Fund, Uncorrelated Ventures, 500 Global, and others”
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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 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:
Who you are:
Bonus points:
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.
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