While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.
Customer Success Engineers at Databricks serve as the trusted technical advisors for our customers. They improve 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 work 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 help our customers to become successful and enthusiastic Databricks champions. Armed with customer insight, a Customer Success Engineer must work with the sales, product, engineering, support, and marketing teams.
The impact you will have:
- 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 inspire, mentor and coach other team members.
What we look for:
- Minimum 4 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.
Nice to have:
- Health and Life Sciences experience
- 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
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
- Mental wellness resources
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the 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.