• 1.1亿美金
    智能招聘平台Greenhouse 获得5千万美金融资,总融资超过1.1亿美金 来源:techcrunch 对于任何一家公司来说,找到合适的人才都是生死攸关的问题——尤其是规模较小的公司,它们可能没有谷歌等规模较大、系统完备的公司所具备的强大工具(或口袋书)。 智能招聘平台Greenhouse希望让这个过程变得简单一点,并引起了投资者的注意。 该公司表示,已从Riverwood Capital筹集了新一轮5,000万美元融资,使其总融资达到1.1亿美元。Greenhouse公司肯定不是唯一一家最近开始获得大量资金的公司,它试图打开人才获取的过程,使其更受数据驱动。但随着成本和难度的收集大量的数据在不同的人类活动已经出现新的机器学习工具,招聘背后的问题也可能是一个可以得到很多的帮助使用相同的数据科学严谨,一个聪明的谷歌搜索结果。 该公司首席执行官丹尼尔•查特说:“招聘工具和软件都是为上一代求职者设计的,求职者的思维方式可以涵盖在网站上收集简历的基本知识。”“我们发现,在人才市场上取得成功的公司能够吸引到合适的人才,在领英(LinkedIn)的人才库中找到差异制造者,在聘用谁、提供成功经验、利用数据进行优化等方面做出非常明智的决定。”他们需要工具来实现这些目标,而且比招聘软件要广泛得多。 典型的消费者对Greenhouse公司的体验可能是网站上的一些招聘信息,雇员可以在这些网站上提交公司想要的申请或附加信息。在这个框架下,Greenhouse为公司提供了找到适合它们的应用程序的途径——无论是像GlassDoor这样的应用程序,还是在互联网上有更孤立的人才群体的更小的利基市场——并为这些可用的角色找到合适的员工。所有这些行为的数据都被收集起来,这反过来又有助于Greenhouse为企业提供更好的建议,帮助它们找到适合自己需要的潜在雇员。 大家也知道在国内也有一些招聘平台参考学习Greenhouse,加上之前的Hired 获得3000万美金融资计划全球扩张,还有一些招聘类平台获得了融资,所以在招聘领域的机会依旧很大,因为劳动力在减少,尤其美国市场的失业率3.8%导致市场上劳动力根本就是供不应求。 Intelligent recruiting platform Greenhouse picks up another $50M 原文来自:https://techcrunch.com/2018/07/12/intelligent-recruiting-platform-greenhouse-picks-up-another-50m/, Finding the right talent is a make-or-break situation for any company — especially smaller ones, which might not have the robust tools (or pocket books) of larger companies like Google that have a complete system in place. Recruiting platform Greenhouse hopes to make that process a little bit easier, and it has caught the attention of investors. The company said it has raised a new $50 million financing round from Riverwood Capital, bringing its total funding to $110 million. Greenhouse definitely isn’t the only company that’s starting to pick up a significant amount of funding recently by trying to crack open the process of talent acquisition and make it a little more data-driven. But as the cost and difficulty of collecting enormous amounts of data on different kinds of human activity has dropped with the emergence of new machine learning tools, the problems behind recruiting may also be one that can get a lot of help from employing the same data science rigor that powers a smart Google search result. “Hiring tools and software in the market had been built for the previous generation, with an applicant tracking mindset to cover the basics of collecting resumes on your website,” Greenhouse CEO Daniel Chait said. “We saw that winning companies in the talent market were ones who were able to attract the right talent, identify difference makers in a sea of LinkedIn profiles, make really smart decisions in who to hire, deliver winning experiences, use data to optimize. They needed tools to accomplish those goals and much broader than the recruiting software.” The typical consumer’s experience with Greenhouse has probably been a bunch of job listings on a website somewhere, where an employee can submit an application or additional information that the company wants. Under the hood, Greenhouse provides companies with ways to find the right funnels for their applications — whether that’s something like GlassDoor or smaller niches on the Internet with more isolated pockets of talent — and discover the right employees for the roles that are available. Data is collected on all this behavior, which in turn helps Greenhouse give better recommendations for companies as to where to find potential recruits that fit their needs. All that has to be packaged together with a generally nice user experience, both for the typical consumer and for the companies. That can boil down to actually understanding the right questions to ask, the right requirements to post in a job listing, and also making sure the process is pretty quick for people that are applying for jobs. Greenhouse implements scorecards to help interviewers — which can turn out to be a big group, depending on the position — determine whether or not candidates are the right person for the job in a more rigorous manner. And Greenhouse also hopes to work with companies with its tools to eliminate bias in the recruiting process to produce a more diverse set of hires. “Companies are continuing to invest in recruiting and talent acquisition software,” Chait said. “As issues of talent and hiring have become more central at the C-suite, companies continue to invest in this area. Companies are starting to see the difference between HR and talent acquisition as its own specialty. If you’re a big company that has an all-in-one HR suite, it’s all well and good to have payroll and benefits in your org chart in one place, but when it comes to hiring, it’s very dynamic.” Greenhouse is still pretty dependent on its partners, but the startup has a wide array of companies that it works with to ensure that all the right tools are available to clients to find the right candidates. If a change is coming on LinkedIn — one of the biggest homes of candidate profiles on the planet — Greenhouse is going to work with the company to ensure that nothing breaks, Chait said. Greenhouse provides an API-driven ecosystem to ensure that its tools reach all the right spots on the Internet to help companies find the best talent. But Greenhouse isn’t the only recruiting-driven company to attract a significant round of funding. It isn’t even the only one to do so in the last month — Hired, another recruiting platform, said it raised $30 million just weeks ago to create a sort of subscription model to help funnel the right candidates to companies. But all this interest, including Greenhouse, is a product of attempts to try to find the right talent in what might be unexpected spots powered by machine learning tools that are now getting to the point where the predictions are actually pretty good.    
    1.1亿美金
    2018年07月29日