Key skills
SQLWindow functionsCommon Table Expressions (CTEs)Cohort logicData modelingPre-aggregation strategyQuery optimizationCaching behaviorCloud data warehousesSnowflakeBigQueryRedshiftDatabricksTransformation toolsdbtBI/analytics toolsCustomer Success ManagementTechnical account managementSolutions consultingSaaS account managementQuarterly Business Reviews (QBR)API-first productsDeveloper toolsAI/LLM integrationsYAML configurationGit workflowsGoAILLMAgenticData EngineeringAnalyticsBIGitCachingSaaSCommunicationCustomer SuccessSales
About this role
Cube is redefining how organizations deliver, consume, and automate data and analytics across teams and tools. They are seeking a Technical Customer Success Manager to manage customer outcomes, run strategic QBRs, and ensure customers derive real value from Cube's platform.
Responsibilities:
- 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
- Drive adoption of new capabilities. Cube's platform is evolving fast — Analytics Chat, embedded agentic analytics, MCP integration, workbooks and dashboards. You'll help customers understand what's new, why it matters for their use case, and how to adopt it
- Manage renewals and identify expansion opportunities. You'll own the commercial relationship alongside our sales team. This means understanding contract timelines, building the business case for renewal, and spotting natural expansion paths — more users, embedded analytics, additional environments
Requirements:
- 5+ years in a customer-facing role at a data, analytics, or developer-tools company (CSM, technical account manager, solutions consultant, or similar)
- Strong SQL skills — you can write queries with window functions, CTEs, and cohort logic, and you can read someone else's SQL and spot what's wrong
- Experience working with technical stakeholders (data engineers, analytics engineers, engineering managers) and executive stakeholders (VP/Head of Data, CTO) in the same account
- Track record of managing renewals and driving account growth in a SaaS environment
- Ability to run a QBR that a data leader would actually find valuable — business narrative, not just metrics
- Familiarity with the modern data stack: cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks), transformation tools (dbt), and BI/analytics tools
- Excellent written and verbal communication — you can explain a pre-aggregation strategy to a data engineer and explain ROI to a VP in the same meeting
- Based in the US with availability for overlap with US business hours
- Experience with Cube or semantic layer concepts (metrics layers, governed data models, headless BI)
- Background in analytics engineering, data engineering, or BI — you've been on the practitioner side
- Familiarity with embedded analytics use cases and multi-tenant architectures
- Experience with API-first or developer-tool products where the buyer is technical
- Understanding of AI/LLM integrations in the data stack (MCP, text-to-SQL, agentic workflows)
- Comfort with light data modeling, YAML/code-based configuration, or git workflows