Sales Engineer J1
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Job Summary
Join our team as a Sales Engineer you will play a pivotal role in driving the growth and success of our company. You will be responsible for identifying and developing new sales opportunities building strong relationships with clients and ensuring that sales targets are met or exceeded. Your role will involve a combination of prospecting client relationship management and administrative support as well as creating and managing sales presentations proposals and offers to close deals. You will work closely with the Commercial Director and cross-functional teams to support our overall sales strategy and objectives.
Responsibilities:
Identify and pursue new B2B clients within the garment manufacturing sector.
Conduct product demonstrations prepare proposals negotiate terms and close sales for SaaS solutions.
Develop and maintain strong client relationships; identify opportunities for upselling and cross-selling.
Collect market feedback monitor industry trends and provide strategic recommendations.
Maintain accurate sales records prepare reports and manage administrative tasks.
Represent the company at industry events and conferences to build brand presence.
- Social insurance
- Medical insurance
- Transportation allowance
- Education allowance
Required Skills:
Bachelors degree in Business Marketing or a related field. Minimum of 3 years of proven sales experience ideally in technology or garment manufacturing. Strong communication negotiation and organizational skills. Self-motivated with the ability to thrive in a fast-paced startup environment. Basic knowledge of garment manufacturing processes. Preferred: Experience with B2B sales and SaaS systems. Preferred: Familiarity with digital marketing.
Company Industry
IT Services and IT Consulting
Key Skills
- Sales Experience
- Presentation Skills
- OEM
- SAAS
- Computer Networking
- Product Demos
- Salesforce
- CRM Software
- Enterprise Sales
- Pre-sales
- MPLS
- Sales Support
About Company
Garment IO is SaaS that helps garment factories boost their productivity by gathering live data from production lines and uncovering inefficiencies using Internet of Things (IoT) technology.
