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Databricks // AI-based big data processing software
 
Engineering, Full Time    San Francisco, Los Angeles, Seattle, Denver, Dallas, Chicago, New York, Boston, Washington, DC    Posted: Wednesday, June 12, 2019
 
   
 
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JOB DETAILS
 

Customer Success Engineer

at Databricks

Mission

Customer Success Engineers at Databricks serve as the trusted technical advisors for our customers. They drive business value, offer advice, & grow accounts. At Databricks we work on some of the most complex distributed processing systems & our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us & our customers, we are looking to our Customer Success Engineers to strategize & lead customers to solutions. This is done with use case discovery, Databricks evangelism, & oftentimes teaching the product to new users. A Customer Success Engineer must be ready to interact & have technical discussions with data scientists & engineers, then demonstrate the value of Databricks in business discussions with company executives. The goal is to enable our customers to become successful & enthusiastic Databricks champions. A Customer Success Engineer has a key role internally as well. This position is dynamic & highly cross-functional. Armed with key customer insight & knowledge, a Customer Success Engineer must regularly work with the sales, product, engineering, support, & marketing teams.

Responsibilities

Manage the customer lifecycle for an assigned number of accounts. You will need to build relationships with them & regularly engage by presenting product roadmaps & executive briefings, running QBRs, managing escalations, & conducting regular status calls.

Learn & become a Databricks + Spark expert! Customers will look to you for advice & expertise.

Strategize & 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 & influence our roadmap.

Liaise closely with the technical support team & other core Databricks teams to ensure that customer requests & escalations are resolved.

Identify & achieve targets on renewal rates, customer satisfaction, expansions, upsells, & new opportunities in assigned accounts.

Develop Databricks champions & generate customer references for the marketing team.

Be a true proponent of customer advocacy.

Be a team player & coach other team members.

Competencies

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 & customer relationship skills

Languages: Scala, Python, or SQL

Excellent organization skills & ability to multitask in a fast-paced startup environment

Familiarity with the end-to-end data analytics workflow

Good understanding of databases & data warehousing

Demonstrated analytical & problem solving skills, particularly those that apply to a big data environment

Some travel required

Bachelors 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 & services.

Benefits

  • Medical, dental, vision
  • 401k Retirement Plan
  • Unlimited Paid Time Off
  • Catered lunch (everyday), snacks, & drinks
  • Gym reimbursement
  • Employee referral bonus program
  • Awesome coworkers
  • Maternity & paternity plans

About Databricks

Databricks mission is to accelerate innovation for its customers by unifying Data Science, Engineering & Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering & lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL & interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, & secure cloud infrastructure that reduces operational complexity & total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA & Battery Ventures, among others, has a global customer base that includes Viacom, Shell, & HP. For more information, visit www.databricks.com.

Apache, Apache Spark & Spark are trademarks of the Apache Software Foundation.

 
 
 
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