He/she will be expected to create; lead and strengthen business relations with customers.
Responsible for achieving IT Managed services sales targets.
Conduct basic marketplace intelligence and research to map business potential of existing customers and also identify new customers.
Participate in corporate sales planning and strategies. Identify and enlarge Targeted Customer Base and Industry to increase the profitability of the Individual clients through cross selling and up selling of the organization's product offering across prospects & target accounts. Respond to RFQs, tenders, RFIs, etc.
Ensuring new customer accounts are acquired.
Develop strong customer relationships through regular visits or timely response to their queries.
Deal with and overcome objections raised by customers and ensure solutions are in sync with customer expectations. Ensure service quality feedback on a monthly
ASPL Info Services FZE is in search of talented and motivated individuals for the post of Sales Executive in the field of Information Technology in one of their office located in Sharjah, Dubai - United Arab Emirates. The ideal candidate should have graduate qualification and atleast 3 years of experience. The position require business, sales, basic, intelligence, research, corporate, planning, customer, base, industry, profitability, selling, product, target, relationship, solutions, service, quality, feedback, graduate mandatory skills. This is a Temporary/Contract morning shift job.Salary vary between 3k to 4k (AED) per month depending upon skills and years of experience candidate got.
About ASPL Info Services FZE
Appnomic pioneered Analytics based monitoring in 2009, becoming the first Indian software product company to be recognized by Gartner in the IT Operations Analytics space. Our solutions are designed to help enterprises deliver rich digital experiences to their customers and prepare them for exponential growth. In addition to creating the first patent in the field, Appnomic holds multiple patents in the emerging area of machine learning based performance monitoring and problem detection in large distributed systems.
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