Customer Success Manager-Bangalore

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    "datePosted": "2025-07-02",
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    "description": "<p><span style=\"font-weight: bold;\">Customer Success Manager</span></p>\n<p><span style=\"font-weight: bold;\">Please note- This is for Bangalore location</span></p>\n<p><span>As a </span><span>Customer Success Manager</span><span> at DataPelago, you will play a critical role in ensuring our customers achieve meaningful outcomes using our advanced analytics engine built for Lakehouse platforms. You will partner closely with clients to understand their goals, drive adoption of our product, and deliver long-term value through ongoing engagement, technical enablement, and strategic guidance.</span></p>\n<p><span>This is a hands-on role that requires a deep understanding of data engineering, analytics, Lakehouse architectures (e.g., Delta Lake, Apache Iceberg), and related cloud technologies. You will serve as a trusted advisor to your customers, helping them to integrate, optimize, and expand their use of DataPelago within their data ecosystem.</span></p>\n<p><span>Key Responsibilities</span></p>\n<ul>\n<li><span>Serve as the primary post-sales point of contact and advocate for customers, ensuring a seamless onboarding and implementation process.</span></li>\n<li><span>Build deep relationships with technical and business stakeholders to align product capabilities with customer goals.</span></li>\n<li><span>Drive product adoption and usage, delivering measurable business outcomes that demonstrate the value of DataPelago.</span></li>\n<li><span>Proactively identify risks to customer success and create strategies to mitigate churn while maximizing growth opportunities.</span></li>\n<li><span>Partner with sales, product, and engineering teams to communicate customer feedback and drive continuous product improvement.</span></li>\n<li><span>Guide clients in co-existing and integrating DataPelago alongside other analytics engines (e.g., Databricks, Snowflake, Dremio) within Lakehouse environments.</span></li>\n<li><span>Conduct product walkthroughs, knowledge transfer sessions, and enablement workshops for technical and non-technical teams.</span></li>\n<li><span>Support the development of customer reference architectures and case studies based on successful deployments.</span></li>\n<li><span>Collaborate with system integrators, consultants, and other partners to ensure joint success in complex enterprise environments.</span></li>\n<li><span>Mentor junior team members and contribute to the overall growth of the Customer Success team.</span></li>\n<li><span>Handling escalations and production issues</span></li>\n<li><span>funneling improvements from bugs encountered in customer environment to bug fixes, features and supportability enhancements in the product.</span></li>\n</ul>\n<p><span>Qualifications</span></p>\n<ul>\n<li><span>Proven experience in customer-facing roles such as Customer Success, Solutions Engineering, Technical Account Management, or Post-Sales Consulting.</span></li>\n<li><span>Strong technical acumen in Lakehouse platforms, data engineering, analytics, SQL, and AI/ML.</span></li>\n<li><span>Hands-on expertise in public cloud platforms (AWS, Azure, GCP) and common data tools (Spark, Python, Scala, Java).</span></li>\n<li><span>Ability to clearly communicate complex technical concepts to both technical and business audiences.</span></li>\n<li><span>Experience with onboarding, driving adoption, and demonstrating ROI in enterprise software environments.</span></li>\n<li><span>Excellent collaboration and stakeholder management skills.</span></li>\n<li><span>Bachelor’s degree in Computer Science, Engineering, or a related field; Master's preferred.</span></li>\n</ul>\n<p><br></p>",
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