Senior Customer Success Engineer, Databricks

• Minimum 5 years experience working in customer-facing technical roles (in Customer Success, consulting, or related discipline)
• Experience at a SaaS company or with cloud architectures
• Languages: Python, or SQL
• Familiarity with the end-to-end data analytics workflow
• Experience with databases and data warehousing
• Problem solving skills, those that apply to a 'big data' environment
• Some travel may be involved depending on customer's needs
• Bachelor's degree in computer science or related field

Desirable

• You will manage the customer lifecycle for an assigned number of accounts. You will need to build relationships with them and engage by presenting product roadmaps and executive briefings, running QBRs, managing escalations, and conducting regular status calls
• Learn and become a Databricks + Spark expert! Customers will look to you for advice and expertise
• Strategize and identify new use cases to grow accounts. Find areas where Databricks can provide the most value to increase renewals
• Engage with the product team to guide customer requests and establish our roadmap
• Work with the technical support team and other core Databricks teams to ensure that customer requests and escalations are resolved
• Identify and achieve targets on renewal rates, customer satisfaction, expansions, upsells, and new opportunities in assigned accounts
• Develop Databricks champions and produce customer references for the marketing team
• Be a true proponent of customer advocacy
• You will be a team player and coach other team members