
Cube helps organizations modernize how they deliver, consume, and automate data and analytics across teams, tools, and AI agents by bringing consistency, context, and trust to the next generation of data experiences. Cube Cloud is a leading universal semantic layer platform, providing a single source of truth for both humans and Cube D3’s agentic analytics. Any data source can be unified, governed, optimized, and integrated with any data application: AI, BI, spreadsheets, and embedded analytics. Cube is installed on 90,000 servers and used by more than 5 million users. Customers include 20% of the Fortune 1000. Based in San Francisco, Cube is backed by Decibel, Bain Capital Ventures, Eniac Ventures, 645 Ventures, Databricks Ventures, and Betaworks. To learn more, visit cube.dev.

Cube helps organizations modernize how they deliver, consume, and automate data and analytics across teams, tools, and AI agents by bringing consistency, context, and trust to the next generation of data experiences. Cube Cloud is a leading universal semantic layer platform, providing a single source of truth for both humans and Cube D3’s agentic analytics. Any data source can be unified, governed, optimized, and integrated with any data application: AI, BI, spreadsheets, and embedded analytics. Cube is installed on 90,000 servers and used by more than 5 million users. Customers include 20% of the Fortune 1000. Based in San Francisco, Cube is backed by Decibel, Bain Capital Ventures, Eniac Ventures, 645 Ventures, Databricks Ventures, and Betaworks. To learn more, visit cube.dev.
Product: Universal semantic layer (Cube Core open source) and Cube Cloud managed platform
Users / Reach: Installed on ~90,000 servers and used by >5M users
Founders / HQ: Founded by Artyom Keydunov (CEO) and Pavel Tiunov (CTO); based in San Francisco
Funding: Raised approximately $48M total, including a $25M round in June 2024
Data analytics infrastructure — semantic layer, metrics governance, query performance optimization, and integration with BI/AI applications.
2019
Data infrastructure / Analytics
6200000
Seed round reported Sept 29, 2020
25000000
June 6, 2024 round included Databricks Ventures, Decibel, Bain Capital Ventures, Eniac Ventures, and 645 Ventures
“Backed by investors including Databricks Ventures, Decibel, Bain Capital Ventures, Eniac Ventures, 645 Ventures, Betaworks”
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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.