Remote HVAC Sales & Customer Support Manager
Мэтч & Сопровод
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Описание вакансии
Location: Remote for candidates located in Kazakhstan or the CIS; candidates located in the Russian Federation are not considered. Work schedule: 11 AM–8 PM EST, corresponding to 20:00–05:00 in Almaty during summer time and 21:00–06:00 during winter time.
Salary: $1,200–$1,500 per month, net. Starting compensation is $1,200/month, with a possible increase to $1,300/month after approximately 30 days and up to $1,500/month after approximately 90 days.
Company
A US-based home services company focused on HVAC and duct cleaning services.
What you will do
- Handle inbound leads, calls, messages, and customer inquiries.
- Follow up with prospective and existing customers and explain services, pricing, warranties, and processes.
- Book appointments and guide customers toward scheduling.
- Upsell relevant additional services.
- Coordinate with technicians and the internal team in Russian.
- Maintain CRM and job records and help improve sales scripts and pricing matrices.
Requirements
- Fluent Russian is required.
- Upper-intermediate English or higher is required.
- Previous experience in sales, customer support, call centers, scheduling, or a similar role.
- Comfort speaking with US customers by phone.
- Availability to work 11 AM–8 PM EST.
- Reliable internet, a quiet workspace, a headset, and the ability to work remotely.
Nice to have
- Experience in HVAC or home services.
- Experience with CRM or field service software.
- Experience with phone sales, upselling, follow-ups, or appointment booking.
Culture & Benefits
- Opportunity to build a long-term career in a US-based home services business.
- Remote work with candidates providing their own laptop or computer, internet connection, headset, and workspace.
- Training takes approximately one week.
- Training is paid only after successful certification and transition to the working role; unsuccessful training completion is unpaid.
- Additional bonuses may be available for improving sales scripts and developing the pricing matrix.
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