Customer Success Engineer, Bigeye

• 3+ years in customer-facing roles - Support/Services/Success with at least some technical account management experience in B2B SaaS
• Experience working with cloud-based analytical databases, such as Snowflake, Redshift, and BigQuery
• Ability to work with data hands-on, including reading and writing SQL, debugging SQL queries, and understanding how users interact with databases
• Understanding of data pipeline/ETL/ELT solutions
• Ability to partner with data engineers, data scientists, and analysts at mid market and Enterprise customers
• Enjoy working in a constantly changing environment and maintaining a high level of responsiveness for customers
• Enjoy getting in the weeds (investigating inaccuracies, fixing issues) while also thinking strategically with your customers (roadmap, business objectives)

Desirable

• As a Customer Success Engineer on our team, you’ll work closely with Solutions Engineering, Sales, and Product to deliver an amazing experience for our customers, be accountable for net revenue, and grow enterprise accounts
• Understanding our customer use cases related to data quality and engineering including, data pipeline health, data replication accuracy, dimensional data quality, and data drift collection
• Providing support and guidance to technical customers (to overcome challenges with deployment, and expansion of use cases and business users (for best practices and business goals)
• Retain and grow accounts - maintaining positive client relationships and proactively identifying opportunities (either organic growth or new lines of business)
• Responsible for managing renewals, expansions and net revenue quota
• Provide structured, condensed feedback to product and engineering that drives business value for Bigeye and our customers
• Turning one-off customer solutions into repeatable processes, we can apply across accounts