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Smart Apartment Data logo

Customer Support Specialist (Locator Support) | Remote - PH

Posted about 2 months ago

RemoteDavao Region, Philippines

Salary: Php 35,000 – Php 40,000 per month

Role: (Remote / Full-Time)

Locations: Metro Manila, Central Visayas, Davao Region

Schedule: US Central Time

We’re looking for a Customer Support Specialist to assist clients using our software platform.

This role is primarily chat-based, with occasional email and phone support as needed. You’ll be interacting directly with clients, so clear and confident English communication is essential.

We’re looking for someone who can learn quickly, think clearly, and explain things in a simple way.

Responsibilities

  • Provide customer support primarily through chat (with occasional email or calls if needed)
  • Guide users step-by-step on how to use the platform
  • Answer questions and troubleshoot common issues
  • Explain features clearly and in simple terms
  • Escalate more complex issues when needed

Requirements

  • 2+ years of customer support or BPO experience
  • Experience supporting English-speaking customers
  • Strong English communication skills (both verbal and written) are required — you should be comfortable speaking directly with clients when needed
  • Comfortable learning new systems quickly
  • Able to explain things in a simple, step-by-step way
  • Patient, helpful, and detail-oriented

Please apply only if the salary range of PHP 35,000 – 40,000 aligns with your expectations.

Important  

This role involves learning a new platform and guiding users through it.

We’re looking for candidates who are:

  • Quick learners
  • Clear communicators
  • Comfortable figuring things out independently

Benefits

  • 100% remote / home-based work
  • Monthly salary: PHP 35,000 – 40,000
  • Collaborative and supportive team
Job details
Workplace
Remote
Location
Davao Region, Philippines
Smart Apartment Data logo
Smart Apartment Data
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Largest national datasets trusted by over 10,000 industry professionals, offering a source of accurate apartment data and analytics.

Key team members

Megan Dyk

Megan Dyk

Nichole Williams, CAS

Nichole Williams, CAS

Wendy Hankins

Wendy Hankins

Tisha Griffith

Tisha Griffith

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