Remote Technical Support II: AI & Networking Expert

SupportNinja

Metro Manila

On-site

PHP 260,000 - 380,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation
Government-mandated benefits
Retirement savings with company match
Life Insurance
HMO from day 1
Free dependent coverage
Paid time off + birthday leave
Skills training & development
Employee Referral Program

Job summary

SupportNinja is seeking a Technical Support Representative II who will provide advanced technical support across email, live chat, and AI chatbots. You will diagnose issues related to device setup, Wi‑Fi connectivity, and router conflicts while delivering outstanding customer service and onboarding guidance.

The role emphasizes troubleshooting skills, clear communication, and collaboration with engineering to resolve complex problems, with ongoing knowledge base improvement and KPI-driven

Qualifications

  • At least 2 years in technical support (TSR) within a BPO/call center.
  • Strong knowledge of hardware, software, and networking.
  • Able to explain technical concepts to non-technical users clearly.

Responsibilities

  • Provide advanced technical support via Email, Live Chat, and AI Chatbots.
  • Identify and troubleshoot complexity in device setup, Wi-Fi, and router conflicts.
  • Escalate to engineering with detailed documentation and maintain satisfaction.
  • Contribute to knowledge base and document customer interactions in CRM.

Skills

2+ years TSR experience
Advanced troubleshooting
Device setup
Wi-Fi & networking
Customer service

Tools

Router configurations
DNS settings
BYOD troubleshooting

Job description

SupportNinja is seeking a Technical Support Representative II who will provide advanced technical support across email, live chat, and AI chatbots. You will diagnose issues related to device setup, Wi‑Fi connectivity, and router conflicts while delivering outstanding customer service and onboarding guidance.

The role emphasizes troubleshooting skills, clear communication, and collaboration with engineering to resolve complex problems, with ongoing knowledge base improvement and KPI-driven

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