Customer Success Manager

Job not on LinkedIn

🕒 April 16

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Logo of Acryl Data

Acryl Data

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $9M Seed Round on 2021-06

Artificial Intelligence • Enterprise • SaaS

Acryl Data is the company behind DataHub, the leading open-source metadata platform designed to manage and govern data and AI. With a strong community of over 11,550 contributors, Acryl Data aims to become the gold standard in data and AI governance by providing reliable and compliant solutions. The company has emerged from a history of innovation at LinkedIn and has gained support from prominent investors like 8VC and LinkedIn itself. Acryl Data focuses on creating a metadata-driven control plane for data, delivering valuable insights from data leaders, and partnering with world-class companies to bring order to data chaos.

📋 Description

• 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

🏖️ Benefits

• Competitive compensation • Equity for everyone • Remote Work • Location flexibility • Comprehensive health coverage • Flexible savings accounts • Support for every path to parenthood • Time off that works for you

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