Customer Success Manager

About the company:

We are on a mission to make it viable to extract value from all data in the world — so humanity can capture every insight, cure, invention, and opportunity.Traditional processing solutions based on CPUs and today’s software architectures cannot handle the complexity and volume of data, doubling every two years, with unstructured data now accounting for 90% of all data created. The surge of GenAI and its dependence on huge volumes of unstructured data is compounding the processing challenge. We are creating a new data processing standard for the accelerated computing era to overcome these performance, cost and scalability limitations.

About the role:

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.

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 our product within their data ecosystem.

Key Responsibilities:

● Serve as the primary post-sales point of contact and advocate for customers, ensuring a seamless onboarding and implementation process.

● Build deep relationships with technical and business stakeholders to align product capabilities with customer goals.

● Drive product adoption and usage, delivering measurable business outcomes that demonstrate the value of our product.

● Proactively identify risks to customer success and create strategies to mitigate churn while maximizing growth opportunities.

● Partner with sales, product, and engineering teams to communicate customer feedback and drive continuous product improvement.

● Guide clients in co-existing and integrating our product alongside other analytics engines (e.g., Databricks, Snowflake, Dremio) within Lakehouse environments.

● Conduct product walkthroughs, knowledge transfer sessions, and enablement workshops for technical and non-technical teams.

● Support the development of customer reference architectures and case studies based on successful deployments.

● Collaborate with system integrators, consultants, and other partners to ensure joint success in complex enterprise environments.

● Mentor junior team members and contribute to the overall growth of the Customer Success team.

● Handling escalations and production issues

● Funneling improvements from bugs encountered in customer environment to bug fixes, features and supportability enhancements in the product.

Qualifications

● Proven experience in customer-facing roles such as Customer Success, Solutions Engineering, Technical Account Management, or Post-Sales Consulting.

● Strong technical acumen in Lakehouse platforms, data engineering, analytics, SQL, and AI/ML.

● Hands-on expertise in public cloud platforms (AWS, Azure, GCP) and common data tools (Spark, Python, Scala, Java).

● Ability to clearly communicate complex technical concepts to both technical and business audiences.

● Experience with onboarding, driving adoption, and demonstrating ROI in enterprise software environments.

● Excellent collaboration and stakeholder management skills.

● Bachelor’s degree in Computer Science, Engineering, or a related field; Master's preferred.