Product Expert

Hex Hex · Data AI · New York, NY +1 · Customer

Product Expert role focused on customer success, technical support, and gathering product feedback for an analytics data platform. Requires strong SQL and Python skills, customer-facing experience, and analytical problem-solving.

What you'd actually do

  1. You will help ensure customers are successful by serving as a primary contact for technical questions and use case development throughout the user lifecycle.
  2. Provide excellent customer support experience (via chat, email, and Slack) by combining deep user empathy, thoughtful insights, and helpful responses to user questions.
  3. Develop an understanding of the needs of the different types of Hex users and learn how to both apply that knowledge and anticipate their future questions.
  4. Beyond point-to-point work, you will develop technical content to help users get and stay successful with Hex, including demo projects, documentation, and videos.
  5. Help us continue to build a product our users love by identifying product weaknesses and common pain points, providing feedback and suggestions to the Product team.

Skills

Required

  • 2+ years experience as a working data scientist, analyst, or analytics engineer, using SQL & Python
  • Beyond-the-basics experience with Data Science tooling and workflows, including Python, Jupyter notebooks, SQL, and BI tools.
  • Developed analytical thinking ability to effectively troubleshoot complex problems
  • A strong track record of talking to customers - from IC users to senior stakeholders - and solving their problems.
  • You're an excellent communicator, who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders.
  • A high rate of learning, natural curiosity, and eagerness to debate opinions to find truth.
  • A passion for team work, and willingness to be patient, provide honest feedback, and help us build an awesome company culture.

Nice to have

  • Experience in a user-facing technical capacity - maybe you’ve been a Data Consultant or a Customer Engineer
  • Familiarity with the contemporary data stack across ETL, storage, BI, ML, and everything between, with a demonstrated ability to stay up to date with new developments.