Recruiting Expertise
At the foundation any recruiter needs to have clear and easily explained recruitment process supported by the appropriate technical stack to consistently deliver results and measure performance against KPIs. We have a six-stage recruitment process that helps us manage an average workflow of ~4,000 heavy equipment candidates in at least one stage of the recruitment process every week.
Industry Knowledge
With a solid recruiting foundation and a world-class technical stack adding horsepower through artificial intelligence and robotic process automations, the next pillar of domain expertise is based in industry knowledge. We know that manufacturers, dealers, and rental companies are the core of the heavy equipment supply chain. We understand the difference between full-line dealers and short line dealers. We know the challenges that are common to the industry, and how the three primary business models solve those problems through talent.
Functional Knowledge
We know the difference between Aftersales Dealer Development and Product Support, Parts Planning and Parts Operations, Rental Sales and Machine Sales, Rental Branch Manager and Dealer Store Manager, and the many other nuances related to the jobs that are central to a successful business in the heavy equipment industry. Whether your needs are engineering, manufacturing, product management, parts, service, sales or corporate services, we understand how to find and screen candidates quickly and help our clients save time.
Product Knowledge
You don’t have to be a product manager for a product or segment to understand the relevance of product and industry segment when it comes to hiring top talent. Knowing the products and the aspects of each product segment that are similar and different is useful in the recruiting process. It’s important to know the product so you can understand the problem it solves for it’s customer. It also helps understanding similarities in tangential product segments so we can tap into talent pools that would otherwise be obscured.
