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Technical Support Engineer

Technical Support Engineer

CompanyDataiku
LocationNew York, NY, USA
Salary$90000 – $120000
TypeFull-Time
Degrees
Experience LevelMid Level

Requirements

  • Experience engaging with end users and clients through a live chat or screenshare, providing technical and usage support for questions of varying difficulty
  • Experience working with at least one type of relational database and SQL
  • Ability to debug and read customer code (Python, SQL)
  • Experience with python scripting and REST APIs
  • Working knowledge of various cloud technologies (AWS, Azure, GCP, etc.)
  • Genuinely enjoy helping others and good at interpreting their requests
  • Familiar with providing customer support in a SaaS/PaaS or fully managed context.
  • Excellent problem-solving and analytical skills with an aptitude for learning new technologies
  • Ability to be autonomous, resourceful, and a proactive self-starter, while also remaining process-oriented and a team player

Responsibilities

  • Provide a best-in-class customer experience by providing accurate and timely responses, both in a live chat format and through traditional support channels
  • Manage and resolve a variety of issues from advanced usage to technical issues
  • Triage inbound conversations and reroute to other teams other as necessary
  • Act as a liaison between our customers and other Dataiku teams (such as Engineering, Sales, Customer Success, etc.) to help deliver a fast and efficient resolution to issues or questions that have been raised by our end users
  • Improve efficiencies by documenting new support processes and best practices
  • Actively contribute to our Dataiku Community by engaging with end users, providing technical guidance, and answering questions about the product

Preferred Qualifications

  • At least 3-4 years of experience in a client-facing technical role (e.g. support engineer, CSE, TAM, etc.), ideally involving a fully-managed SaaS offering
  • Demonstrated experience working with and supporting advanced analytics, BI, or data science tools