Customer Success Manager

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Acryl Data

11 - 50 funcionários

Fundada em 2021

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $9.000.000 Seed Round em 2021-06

Artificial Intelligence • Enterprise • SaaS

A Acryl Data é a empresa por trás do DataHub, a principal plataforma open source de metadados, projetada para gerenciar e governar dados e IA. Com uma comunidade de mais de 11. 550 contribuidores, a Acryl Data busca se tornar a referência em governança de dados e IA, oferecendo soluções confiáveis e em conformidade. A empresa nasceu de um histórico de inovação no LinkedIn e conta com o apoio de investidores de destaque, como a 8VC e o próprio LinkedIn. A Acryl Data foca em criar um control plane de dados orientado por metadados, oferecer insights valiosos de líderes na área de dados e firmar parcerias com empresas de classe mundial para trazer ordem ao caos dos dados.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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