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HexHexNew York, NY

Product Expert

Supports analytically technical customers by troubleshooting SQL- and Python-based workflows, answering product questions, creating educational resources, and synthesizing feedback for Product. Requires at least two years of data, analytics, or customer-facing technical experience.

115k – 125k/yr
Hybrid2+ YOESupport Engineering

About the role

Responsibilities

  • Serve as a primary contact for technical questions and use-case development throughout the customer lifecycle.
  • Provide excellent customer support through chat, email, and Slack.
  • Understand different user needs and anticipate future questions.
  • Create technical content, including demo projects, documentation, and videos.
  • Identify product weaknesses and common pain points, then provide feedback and suggestions to the Product team.
  • Troubleshoot complex problems, investigate bugs, and develop creative solutions for complex user workflows.
  • Work closely with Sales, Product, and Customer teams to understand users and communicate product capabilities.

Requirements

  • 2+ years of experience as a data scientist, analyst, or analytics engineer using SQL and Python.
  • Experience with data science tooling and workflows, including Python, Jupyter notebooks, SQL, and business intelligence tools.
  • Strong analytical thinking and troubleshooting abilities.
  • Track record of communicating with customers, from individual contributors to senior stakeholders, and solving their problems.
  • Excellent communication, empathy, feedback-sharing, and relationship-building skills.
  • Curiosity, eagerness to learn, and willingness to debate ideas to find the truth.
  • Passion for teamwork and willingness to provide patient, honest feedback.
  • If based in San Francisco or New York City, willingness to work in the office at least two days per week.

Nice-to-haves

  • Experience in a user-facing technical role, such as Data Consultant or Customer Engineer.
  • Familiarity with the contemporary data stack, including ETL, storage, BI, and ML.

Compensation and Benefits

  • Competitive total rewards package including salary and equity.
  • Comprehensive health benefits.
  • Flexible paid time off.
  • Salary range: $115,000–$125,000.

Skills

SQLPythonjupyter notebooksBusiness IntelligenceData ScienceETLData WarehousingMachine LearningCustomer Support
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