Client Success Specialist jobs in Gurgaon at Spyne

Who we are looking for?

We are looking for a strong, flexible, and entrepreneurial individual to manage a large number of SaaS clients on our Creative Professional suites. The Ideal individual should be great at Analytics, People relations, and Processes as we are looking to set up processes and systems which can scale the Client Success Team in the coming months.

Job Responsibilities

Develop long-term relationship between a large number of clients and the company
Build a complete understanding of Spyne Creative Product Suite
Manage Client onboarding process on Spyne Creative Product Suite
Resolve key issues and complaints from the clients
Measure, track and analyze product usage metrics
Establish strong communication loop with the clients to increase engagement on product

Job Requirements

Bachelor or Masters degree in Business or any related discipline
Great interpersonal and communication skills
Critical thinker and problem-solving skills
Strong negotiation skills, with incessant ability to follow-up on client requirements
Past experience in SaaS company will be a big plus
Proven results of delivering client solutions and meeting sales goals

About Spyne

Spyne is a Deep Tech AI platform that helps businesses access high-quality visual content in no time. We are building state of the art AI solutions that can auto edit commercial images at scale. For example: Imagine AirBnB or Amazon or Flipkart run millions of their images through Spyne - and receive high quality, auto edited, ready to use images matching their guidelines and quality standards. The AI auto edits all the images intelligently by understanding diverse images categories and the subjective editing required on each of the categories. We are backed by some of the top names in Indian Investment community, including the CXOs and Founders of leading Internet companies. In a short span, we have started getting consistently featured by a number of reputed publications as one of the potential disruptors in the Deep Tech Image Processing space in India.