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.

The Role

We're looking for a Technical Customer Success Manager who can operate at the intersection of data engineering and business strategy. This is not a traditional CSM role where you send check-in emails and track NPS scores. You'll be the strategic partner for a portfolio of customers — helping them get real value from Cube, diagnosing technical problems, running QBRs with data leaders, and ensuring they renew and grow.

The "technical" in the title is real. Our customers are data engineers, analytics engineers, and engineering leaders. They talk in SQL, think in data models, and evaluate you on whether you actually understand their stack. You need to be credible in those conversations while also being the person who can walk into a QBR with a VP of Data and connect platform metrics to business outcomes.

This role reports to the Head of Customer Success.

What You'll Do

• Own customer outcomes. Manage a portfolio of mid-market and enterprise accounts end-to-end — from onboarding through renewal. You're accountable for implementation, retention, adoption, and expansion within your book of business.
• Run strategic QBRs. Prepare and deliver quarterly business reviews that go beyond usage dashboards. You'll analyze deployment health, surface adoption gaps, build ROI narratives, and give customers a clear roadmap for getting more value from Cube.
• Get technical. Understand how customers have modeled their data in Cube, diagnose performance issues (pre-aggregation strategy, query optimization, caching behavior), and advise on best practices. You won't build data models day-to-day, but you need to read them, reason about them, and guide customers toward better architecture.
• Be the voice of the customer internally. Translate customer feedback into actionable product insights. Work closely with engineering, product, and solutions architecture to resolve issues and influence the roadmap.