Technical Support Engineer

Sigma Computing Sigma Computing · Data AI · New York, NY · Technical Support

Technical Support Engineer role at Sigma Computing, focusing on diagnosing and resolving complex technical issues for customers using the Sigma platform. The role involves collaborating with various internal teams, developing best practices, and improving support operations. Requires strong SQL proficiency, data modeling knowledge, and customer-facing experience in a cloud/SaaS environment. The company is an AI analytics platform, but this role is primarily customer support and technical issue resolution, not direct AI/ML model development.

What you'd actually do

  1. You will work with Sigma's customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
  2. Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
  3. Collaborate with cross-functional groups — backend, frontend, DevOps, design, product, and the go-to-market teams to create a first-class experience for users of our product.
  4. Participate in quarterly projects and perform periodic on-call duties to improve automation and processes.

Skills

Required

  • 2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider.
  • SQL proficiency — strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries.
  • SQL query performance troubleshooting and query plan analysis.
  • Proficient in data modeling concepts.
  • Ability to chart data into logical visualizations.
  • A proven track record of building trust with customers and bringing issues to resolution quickly.
  • Excellent verbal and written communication skills.
  • A strong desire to build scalable processes for issue resolution — documenting common patterns and building tooling for diagnosing issues.
  • Strong collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution.

Nice to have

  • Supporting a cloud service in production.
  • Experience working with Snowflake, Redshift, or BigQuery.
  • Knowledge of GCP or AWS.
  • Startup experience.

What the JD emphasized

  • complex technical issues
  • diagnosing issues
  • issue resolution