Rosh Singh

Head Of Sales at Relevance AI

Rosh Singh has a comprehensive work experience spanning over a decade. Rosh is currently employed at Relevance AI, a company focused on analyzing unstructured data. As the Enterprise Sector Lead, Rosh is responsible for enabling individuals to efficiently analyze unstructured data.

Prior to their current role, Rosh worked at SolarWinds as the Enterprise Account Director for the ANZ & Pacific region. During their tenure, they managed enterprise accounts and successfully contributed to the company's growth.

Rosh also held a position as the Director of Business Development at e-Safe Systems. In this role, they handled various aspects of business growth, including sales, marketing, distributor management, and operational efficiency.

Before joining e-Safe Systems, Rosh worked at LogMeIn in multiple roles, starting as an Account Manager and eventually becoming a Senior Enterprise Account Executive. Rosh successfully managed client accounts across Australia, New Zealand, and Asia-Pacific, ensuring client satisfaction and promoting the adoption of LogMeIn's solutions.

Overall, Rosh Singh has a strong background in enterprise account management, business development, and data analysis.

Rosh Singh completed their Bachelor of Computer Science & Technology degree in IT, Computing, and Management from the University of Sydney between 2006 and 2010. Prior to that, they attended Alice Smith School from 1992 to 2005; however, no specific degree or field of study information was provided for this period.

Location

Sydney, Australia

Links

Previous companies


Org chart


Teams

This person is not in any teams


Offices


Relevance AI

1 followers

At Relevance AI, our mission is to help teams create "light bulb" data moments. Moments where you realize something impossible is possible now and the significant impact of it. This moment can ignite essential use cases such as unstructured data analysis, topic modelling, recommendations, semantic search, zero-shot classification, etc. Unstructured data exists in many forms, such as text fields in your CSV, SQL tables, PDFs, Audio transcripts, Images, Videos, etc. "The 80% Blind Spot: Are You Ignoring Unstructured Organizational Data?" - Forbes


Industries

Headquarters

Sydney, Australia

Employees

11-50

Links