Customer Success Manager

Acryldata is an innovative company providing an AI & Data Context Platform adopted by numerous enterprises. They are seeking a Customer Success Manager to drive adoption and long-term value across a portfolio of enterprise accounts, ensuring customers effectively utilize and expand their use of DataHub.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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
• Background in a data-adjacent role (analytics, data operations, data product management) before moving into CS
• Previous startup or consulting experience