Delivering a successful and efficient hiring process for MosaiQ Labs

MosaiQ Labs are building a knowledge management platform that helps analysts and teams manage, make sense, and collaborate on information in one place. We exist to make your life easier, and get rid of redundant, time consuming, non-stimulating work tasks. We focus on using AI / NLP to organize and derive intelligence from large volumes of data, specifically text.

The problem we had was finding and hiring a suitable Tech Lead/NLP candidate for our start-up. We needed someone with specific technical skills and expertise in natural language processing (NLP) to help us develop and implement our product roadmap. However, the process of sourcing and vetting candidates was proving to be time-consuming and challenging.

Danny provided us with a solution that involved a well-defined journey, strategy, and tactics. The journey began with a thorough understanding of our business needs and technical requirements for the Tech Lead/NLP role. This allowed Danny to identify and approach potential candidates who possessed the relevant skills and experience.

The strategy involved a targeted and personalized approach to each candidate, showcasing the unique value proposition of our start-up and the specific role. Danny leveraged his network and industry expertise to engage with these candidates and assess their fit with our organisation.

The outcome delivered was a successful and efficient hiring process that resulted in the recruitment of a fantastic addition to MosaiQ Labs. Danny was able to deliver a shortlist of qualified candidates very quickly, and we were able to select and hire a candidate who met our specific requirements and expectations. The successful hiring of this candidate has allowed us to accelerate the development of our product roadmap and help us towards achieving our business objectives. Overall, we were very pleased with the outcome and would recommend Danny to other start-ups seeking to hire technical talent.