Customer Success Manager

Role & responsibilities ,

Key Responsibilities

• Manage and develop strong relationships with enterprise customers using Databricks and data platform solutions.
• Understand customer business requirements and align them with Databricks-based solutions.
• Drive customer adoption, engagement, retention, and expansion.
• Identify opportunities for upselling, cross-selling, and additional Databricks services/solutions.
• Work closely with Sales, Pre-Sales, Data Engineering, Cloud, and Delivery teams to support customer requirements.
• Act as a trusted advisor to customers on their Databricks and Data & AI transformation journey.
• Conduct regular customer reviews and track customer health, adoption, satisfaction, and business outcomes.
• Identify potential risks, challenges, and opportunities within customer accounts.
• Support proposals, solution discussions, account planning, and commercial negotiations where required.
• Develop and maintain account plans for strategic customers.
• Collaborate with Databricks, cloud partners, and internal stakeholders to drive customer success.
• Stay updated on Databricks platform capabilities, Lakehouse architecture, Data Engineering, AI/ML, and related cloud technologies.

Required Skills & Experience

• 812 years of overall experience, preferably around 10 years.
• Strong and demonstrable Databricks background is mandatory.
• Experience in Customer Success, Account Management, Sales, Consulting, Pre-Sales, or Client Engagement within the data/technology domain.
• Experience working with enterprise customers and senior stakeholders.
• Strong understanding of Databricks Lakehouse Platform and its ecosystem.
• Knowledge of Data Engineering, Data Warehousing, Data Analytics, AI/ML, and Cloud platforms.
• Exposure to AWS, Azure, or GCP is preferred.
• Experience identifying business opportunities and contributing to revenue growth.
• Strong communication, presentation, negotiation, and stakeholder-management skills.
• Ability to understand technical requirements and translate them into business value.