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Customer Success Manager

Job in Philadelphia, Philadelphia County, Pennsylvania, 19117, USA
Listing for: Zephico Technologies
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Technical Sales
  • Sales
    Technical Sales
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
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.
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