5+ years in a customer-facing role within data, analytics, or developer-tools sectors.
Strong SQL skills, including writing complex queries and troubleshooting others' SQL.
Experience engaging with both technical and executive stakeholders.
Proven track record in managing renewals and driving growth in a SaaS environment.
Ability to conduct valuable QBRs that focus on business narratives.
Familiarity with modern data stack technologies like Snowflake and dbt.
Excellent communication skills for diverse audiences.
Responsibilities
Own customer outcomes for mid-market and enterprise accounts from onboarding to renewal.
Run strategic QBRs that analyze deployment health and provide actionable insights.
Diagnose technical issues related to data modeling and performance.
Act as the voice of the customer, translating feedback into product insights.
Drive adoption of new capabilities and features within the product.
Manage renewals and identify opportunities for account expansion.
Benefits
Fully remote work environment with flexibility to work from anywhere in the US.
Opportunity to collaborate with a highly skilled and innovative team.
Engagement in strategic customer interactions that influence product development.
Occasional travel for customer site visits and company events.
Full Job Description
Technical Customer Success Manager
We9re 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. You9ll 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 making sure they renew and grow. The 44technical45 in the title is real: our customers are data engineers, analytics engineers, and engineering leaders who talk in SQL and think in data models, and they evaluate you on whether you actually understand their stack. This role reports to the Head of Customer Success.
What you will do:
Own customer outcomes. Manage a portfolio of mid-market and enterprise accounts end to end, from onboarding through renewal, accountable for implementation, retention, adoption, and expansion.
Run strategic QBRs that go beyond usage dashboards: 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.
Be the voice of the customer internally, translating feedback into product insights and working with engineering, product, and solutions architecture to resolve issues.
Drive adoption of new capabilities such as Analytics Chat, embedded agentic analytics, MCP integration, workbooks, and dashboards.
Manage renewals and identify expansion opportunities, owning the commercial relationship alongside our sales team.
Who you are:
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 read someone else9s SQL and spot what9s wrong.
Experience working with technical stakeholders (data engineers, analytics engineers, engineering managers) and executive stakeholders (VP/Head of Data, CTO) in the same account.
A 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.
Bonus points:
Experience with Cube or semantic layer concepts (metrics layers, governed data models, headless BI).
Background in analytics engineering, data engineering, or BI, having 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.
This role is customer-facing and involves occasional travel to customer sites and company events.
We9re a fully remote company based in San Francisco, hiring for this role in the United States. You can work from anywhere in the US and join our highly collaborative team.
About Cube Dev
Cube Dev is a software development company that specializes in creating custom software solutions for businesses. They have a team of experienced developers who work closely with clients to understand their needs and create software that meets those needs. Cube Dev has a reputation for delivering high-quality software on time and within budget. They have worked with a variety of clients across different industries, including healthcare, finance, and retail. Cube Dev is committed to staying up-to-date with the latest technologies and trends in software development to ensure that they are always providing the best possible solutions to their clients.
