Drives adoption and value realization for enterprise DataHub customers by owning account portfolios, guiding onboarding and troubleshooting, and building executive relationships. Requires 3+ years client-facing experience and familiarity with data stack tools like dbt, Snowflake.
Salary not listed
Remote3+ YOECustomer Success
About the role
What you'll do
Own a portfolio of enterprise accounts end-to-end, from onboarding through renewal and expansion
Partner with customers to build adoption plans grounded in their specific goals and data maturity
Help customers through initial setup, configuration questions, and common troubleshooting scenarios
Translate adoption progress and business value into clear narratives for executive stakeholders
Identify at-risk accounts early, understand the root cause, and get things back on track
Collaborate with Product and Engineering to share customer feedback and influence the roadmap
Build repeatable playbooks and resources that help the CS team scale
What you'll bring
Required
Familiarity with data governance, data cataloging, or metadata management more broadly
Exposure to common data stack tools like dbt, Airflow, Snowflake, or Databricks — you don't need to be an expert, but you know what they do
Three or more years in a client-facing role managing multiple accounts at once (Customer Success, Account Management, Technical Account Management, or similar)
Comfortable communicating with both data practitioners and business stakeholders — you can adjust your message depending on the room
Strong written and verbal communication skills — you write clearly, prepare thoroughly, and run meetings that end with decisions
Nice to have
Real, hands-on experience using DataHub — you've worked with it day-to-day, understand how it's configured, and have helped others get value from it
Experience driving DataHub adoption inside an organization, ideally as an internal champion or power user before moving into a customer-facing role
Background in a data-adjacent role (analytics, data operations, data product management) before moving into CS
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