Technical Support Engineer (premium Team)

Gong Gong · Enterprise · San Francisco, CA · Technical

This role provides expert-level technical support and guidance to enterprise customers of Gong's AI-powered revenue intelligence platform. The engineer will troubleshoot complex issues, collaborate with internal teams, and contribute to product improvements and support efficiency.

What you'd actually do

  1. Serve as a primary point of contact for customer inquiries via Zendesk (& Zoom calls) ensuring timely and high-quality resolution.
  2. Diagnose, troubleshoot, and resolve complex technical issues related to Gong’s product(s), integrations, and APIs.
  3. Maintain a customer-first approach, proactively identifying pain points and advocating for solutions that improve the customer experience.
  4. Escalate critical technical issues to Tier 3 Support and Engineering teams, ensuring clear documentation and effective collaboration.
  5. Become an expert in Gong’s platform, mastering its features, integrations, and workflows.

Skills

Required

  • 4+ years in technical support, product support, or developer support roles.
  • B2B SaaS, technology companies, enterprise software support.
  • Zendesk, Jira, Salesforce, API debugging tools, Browser Dev Tools.
  • Experience supporting enterprise-level clients with SaaS products.
  • SQL, Snowflake, Elastic/Kibana, Data Visualization.
  • Experience with Okta, Azure provisioning, SFTP, GitHub, and configuration implementation.
  • Familiarity with Python, HTML/CSS, and scripting for debugging and automation.
  • Some knowledge of AWS, Linux, and cloud-based infrastructure.
  • Experience handling high-priority customer escalations, leading customer calls, and working with international teams.
  • Proven track record of identifying inefficiencies in support processes and contributing to automation or workflow enhancements.
  • Involvement in onboarding and mentoring new hires, sharing best practices, and driving team-wide improvements.

Nice to have

  • Python
  • HTML/CSS
  • AWS
  • Linux

What the JD emphasized

  • complex technical issues
  • customer-first approach
  • critical technical issues
  • in-depth troubleshooting
  • customer-impacting issues
  • Voice of the Customer
  • inefficiencies in support workflows
  • automation, tooling, and documentation enhancements
  • technical knowledge
  • enterprise-level clients
  • high-priority customer escalations
  • identifying inefficiencies in support processes
  • automation or workflow enhancements
  • mentoring new hires