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.
Manage the customer lifecycle for an assigned number of accounts. You will need to build relationships with them and regularly 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 business value that will drive renewals.
Engage with the product team to drive customer requests and influence our roadmap.
Liaise closely 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 generate customer references for the marketing team.
Be a true proponent of customer advocacy.
Be a team player and coach other team members.
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
Outstanding communication and customer relationship skills
Languages: Scala, Python, or SQL
Excellent organization skills and ability to multitask in a fast-paced startup environment
Familiarity with the end-to-end data analytics workflow
Good understanding of databases and data warehousing
Demonstrated analytical and problem solving skills, particularly those that apply to a 'big data' environment
Some travel required
Bachelor's degree in computer science or related field.
Nice to have
Fluency with cloud services such as AWS or Azure
Fluency with distributed streaming platforms (Kafka, Kinesis)
Experience working with large scale data processing services (Hadoop)
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, Cond 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.