Partner Program Specialist

Hạn nộp hồ sơ: 18/06/2026 (Còn 14 ngày)

Địa điểm làm việc:

Hà Nội

bigc artemis, lê trọng tấn, quận thanh xuân, Hà Nội

(Trước sáp nhập: Thanh Xuân, Hà Nội | Sau sáp nhập: Khương Đình, Hà Nội)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

Provide technical and functional support for the Partner Portal and PRM backend, including configuration, user assistance, and troubleshooting.
Translate business requirements from Channel, Sales, and Marketing teams into technical specifications for IT/Development teams.
Collaborate closely with cross-functional stakeholders (CRM, Marketing, Channel Sales, Analytics, etc.) to deliver system improvements and operational efficiency.
Support Channel Operations activities such as Cloud Marketplace performance tracking and SKU optimization.
Assist in preparing user documentation and supporting change management for partners.

2+ years of experience in project coordination, business operations, or partner/channel roles
Experience working with CRM, PRM, or similar business platforms is a strong advantage.
Proficient in Microsoft 365 (Excel, Teams, Outlook).
Understanding partner business models is preferred.
Excellent communication skills in English, with ability to work across cultures, time zones.
Proactive, structured, and able to work independently in a globally distributed team
NICE TO HAVE:
Experience with CRM Dynamics, Power BI, or partner ecosystem tools.
Background in IT, business analysis, or program management.

Kỹ năng:

Big Data , Phân Tích Dữ Liệu , Power BI

5-day workweek with weekends off
Dynamic, professional environment with career growth opportunities
Social, medical, and unemployment insurance based on actual salary
Performance and salary review twice a year
Quarterly bonus opportunities based on performance
Potential for international onsite assignments
Regular team-building events and internal activities (weekly happy hour, quarterly team building events, Lunar New Year parties, etc.)

Ngành nghề:

Quản Lý Dự Án IT, Dữ Liệu - AI - Học Máy, Nghiên Cứu & Phát Triển (R&D)

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