Technical Support Manager

Sigma Computing Sigma Computing · Data AI · San Francisco, CA · Technical Support

Sigma Computing is seeking a Technical Support Manager to lead a team of Support Engineers. The role involves hiring, developing, and mentoring team members, driving process improvements for customer growth and retention, and fostering innovation. The ideal candidate will have a strong technical background, experience in data platforms and business intelligence, and people management skills. The company offers an AI apps and analytics platform connected to cloud data warehouses, enabling the creation of AI apps and analytics.

What you'd actually do

  1. Become a product expert. We are a data driven group and expect you to become fully proficient in Sigma.
  2. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience.
  3. Hire, develop and train a strong team of Support Engineers on an ongoing basis.
  4. Collaborate with cross-functional groups — Engineering, Design, Product, Customer Success, Sales, and Marketing ensuring delivery of a great customer experience.
  5. Manage and develop a strategy toward key metrics: CSAT, Initial Response (IR), SLA, Time to Resolution (TTR).

Skills

Required

  • Technical skills
  • Customer focus
  • Hiring
  • Development
  • Mentoring
  • Process improvement
  • Fast-paced environment
  • Computer Science fundamentals
  • Databases
  • Business intelligence
  • SQL
  • Data modeling
  • Building trust with customers
  • Issue resolution
  • Curiosity
  • Learning new technologies
  • Excellent verbal and written communication skills

Nice to have

  • Managed a team supporting a SaaS product
  • Snowflake, Redshift, or BigQuery experience
  • GCP or AWS knowledge
  • Startup experience

What the JD emphasized

  • U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field.
  • 5+ years of industry experience supporting data platforms in an enterprise environment and 2+ years in a people management role.