Customer Success Engineers at Databricks serve as the trusted technical advisors for our customers. They drive business value, offer advice, and grow accounts. At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our Customer Success Engineers to strategize and lead customers to solutions. This is done with use case discovery, Databricks evangelism, and oftentimes teaching the product to new users. A Customer Success Engineer must be ready to interact and have technical discussions with data scientists and engineers, then demonstrate the value of Databricks in business discussions with company executives. The goal is to enable our customers to become successful and enthusiastic Databricks champions. A Customer Success Engineer has a key role internally as well. This position is dynamic and highly cross-functional. Armed with key customer insight and knowledge, a Customer Success Engineer must regularly work with the sales, product, engineering, support, and marketing teams.
Nice to have
Background in machine learning or working with ML tools and services
Comprehensive health coverage including medical, dental, and vision
Flexible time off
Paid parental leave
Annual personal development fund
Employee Assistance Program (EAP)
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500— rely on Databricks' Lakehouse platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.