Unity Developer
Analog Abu Dhabi, United Arab Emirates
About the job
Build the future of data. Join the Snowflake team. Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers’ success. We form partnerships with customers by listening, learning, and building connections. Snowflake’s values are key to our approach and success in delivering world-class Support. Putting customers first, acting with integrity, owning initiative and accountability, and getting it done are Snowflake core values and are reflected in everything we do. Snowflake’s Support team is expanding! We are looking for a to join our team.
About The Role
As a Senior Technical Support Manager, you will manage a team within our growing Global Technical Support organization. This includes providing leadership to the team's technical staff, interfacing with Engineering on customer-impacting fixes and enhancements, recruiting and development of support staff, and guiding and exceeding team metrics. The successful candidate will also have responsibility for leading efforts in developing and implementing world-class technical support services, knowledge base content, best practices, and methodologies to deliver unsurpassed service and support.
Special Requirements:
As a Senior Technical Support Manager, you will:
Our Ideal Senior Technical Support Manager will have:
Nice to Have:
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Snowflake delivers the AI Data Cloud to help leading organizations share data, build applications and power their business with AI. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.