AI-Savvy Technical Support Pro (Remote)

United States Digital Space LLC

United States

Remote

USD 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Flexible Work Schedule
Remote-First, In-Person Friendly
Learning & Development Budget
Work from Home Budget
Access to Cutting-Edge AI Tools
Hands-On with LLMs
A Thriving Industry

Job summary

United States Digital Space LLC is seeking a Technical Support Advisor to proactively diagnose and resolve client issues across our AI customer service platform. You’ll manage API-related inquiries, support Jira/Zendesk/Salesforce usage, and maintain strong communication with engineering and non-engineering teams.

The role emphasizes proactive problem solving in a remote-first environment. Ideal candidates will demonstrate a track record of handling hard-to-reproduce issues, strong backlog

Qualifications

  • Experience resolving non-reproducible issues across product/infrastructure.
  • Experience supporting web apps in modern tech stacks.
  • Proficient with Jira, Zendesk, Salesforce for issue tracking.

Responsibilities

  • Triage, troubleshoot, localize and escalate complex client issues to engineering teams within SLAs.
  • Deliver exceptional customer service and technical support to clients.
  • Support non-engineering teams in using, debugging, and understanding the platform.
  • Maintain and improve internal product documentation for the client support team.
  • Become the product expert and translate stakeholder input into clear feature reports.

Skills

Postman
Curl
Jira
Zendesk
Salesforce
APIs
Backlog mgmt
Analytical thinking
Communication

Job description

United States Digital Space LLC is seeking a Technical Support Advisor to proactively diagnose and resolve client issues across our AI customer service platform. You’ll manage API-related inquiries, support Jira/Zendesk/Salesforce usage, and maintain strong communication with engineering and non-engineering teams.

The role emphasizes proactive problem solving in a remote-first environment. Ideal candidates will demonstrate a track record of handling hard-to-reproduce issues, strong backlog

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