零工经济先驱Upwork将上市-Gig economy pioneer Upwork set to go public文/Rachel Ranosa
文章导读：
Upwork，以前称Elance-oDesk，是一个全球自由职业者平台，企业和自由职业者人士可以远程连接和协作。 2015年，Elance-oDesk更名为Upwork。它位于加州山景城和旧金山。 全名是Upwork Global Inc.
全球自由职业市场Upwork正准备上市，预计将是2018年下半年的“大型IPO”。
据Recode报道，Upwork秘密提交了上市文件，曾考虑估值10亿美元。
Upwork收费方式：1、自由职业者接活佣金
2、客户发活佣金
Upwork用户数量：1600万自由职业者。
Upwork预计将成为2018规模最大的IPO之一,原因：
美国自由职业者的增长
Upwork和自由职业者联盟的一份2017年报告估计，超过5700万(36%)的美国人，通过自由工作向美国经济贡献了1万亿美元。
研究表明，到2027年，当大多数美国人成为自由职业者时，就业模式转变将会加速。
Upwork首席执行官斯特凡•卡斯里尔(Stephane Kasriel)表示:我们正处于第四次工业革命时期，工作发生变化，自由职业者将扮演更加的重要角色。
英文原文：
Upwork, the global marketplace for freelance jobs, is preparing to go public in what observers anticipate to be the ‘marquee IPO’ of the last half of 2018.
A pioneer in the online gig economy, Upwork confidentially filed papers for its stock market debut, Recode reported. The company initially welcomed the idea of a billion-dollar valuation despite financial setbacks and a price restructuring that allegedly drew flak from freelancers.
If all goes according to plan this year, however, the group is set to be the latest in a string of high-profile, high-value tech companies floating on the stock market.
Upwork is the byproduct of two other freelance jobs portals, oDesk and Elance, which merged in 2015. Freelancers earn from one-off projects posted on the site. The company snips off a percentage from the gig worker’s income while also charging job posters a transaction fee.
While details of the IPO are yet to be disclosed, industry observers such as Bill Murphy of Inc. believe it is “virtually certain some people are going to clean up” and cash in on the stock market launch. At present, Upwork reportedly hosts US$1bn worth of gigs on a platform said to be used by 16 million freelancers.
Part of the reason Upwork is expected to be one of the year’s biggest IPOs is the growth of the freelance workforce in the US. A 2017 report from Upwork and Freelancers Union estimates more than 57 million (36%) Americans are contributing US$1tn to the economy through independent work.
The shift to alternative modes of employment, such as gigs and other independent work, is expected to accelerate by 2027 when a majority of Americans will have become freelancers, the study suggested.
“We are in the Fourth Industrial Revolution – a period of rapid change in work driven by increasing automation,” said Stephane Kasriel, CEO of Upwork. “But we have a unique opportunity to guide the future of work and freelancers will play more of a key role than people realize.”
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2018年08月01日
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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.
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2018年07月29日
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Hired筹集了3000万美元，为公司招聘建立一条简单的订阅渠道来源 /techcrunch.com
文/Matthew Lynley
招聘是通过Hired和Triplebyte等公司进行数据科学改造的最新行业之一，但前者希望将其转变为与其他企业软件公司一样的订阅业务 - 并且已经筹集了一大笔资金来实现这一目标。
Hired看起来是两家公司和潜在候选人的一站式招聘点。这家初创公司会收集一些信息，比如基本的个人资料、对求职者想要找什么以及你的简历信息的一些想法，然后通过一系列后端算法和流程来处理这些信息，以便找出该候选人的最佳匹配职位。然后，它将这些候选人推荐给那些正在寻找大量候选人的公司的招聘经理，他们能够为那些拥有订阅业务的公司建立一种经常性的收入模式。今天，该公司还表示，它已经在Investment Management Corporation of Ontario牵头的新融资中筹集了3,000万美元。
“除了选择生活伴侣，选择工作地点是第二重要的决定” 首席执行官Mehul Patel说。“你把大部分时间都花在工作上，把所有的痛苦和欢乐都带回你的生活伴侣。”当你考虑招聘时，这是一个庞大的行业，对于公司来说，找到优秀人才是生死攸关的——但优秀人才已经相当困难。询问任何搜索工作的人是否工作得很好，你得到的答案一定是否定的。
你很有可能在领英(LinkedIn)上获得了一些关于Hired的信息，但这都是绩效营销的一部分，该公司希望利用这些信息，让一群精力充沛的求职者进入这个平台。通过这样做，它不仅可以继续拥有稳定的候选人流，而且还可以收集越来越多关于哪些候选人可能是最佳人选的信息。例如，学校可能不是衡量未来成功的最佳指标，而Github账户上的追随者数量可能是衡量候选人表现的更好的晴雨表。这是一个非常直观的结果，但招聘经理可能不会主动跟踪，他们已经知道这是最好的方案。
通过这种方式，Hired尝试缩短公司说需要一个候选人，然后让这个候选人真正被聘用的时间。想法是，招聘经理将能够发布一个职位 - 无论是新职位还是回填现有职位 - 并保持稳定的候选人流。 帕特尔表示，该公司已经能够将这个门槛降低到25天左右，这是他们可以向投资者展示的一个数据点，以让他们相信该模式正在发挥作用。(该公司没有披露预订量，表示预订量同比增长了300%，这是一个很大的数字，但没有参考价值也没那么有用。)
“我们看到数据的重要性不仅仅是为了推动结果——数据可以让你与其他公司进行比较，并确保你能更好地为任何公司招聘。” Patel表示。“我们有哪些公司成功的数据，或者为什么他们不成功的数据，我们可以分享这些数据，帮助公司找到他们的最佳实践方式。 帮助公司可预测地招聘员工，或利用高质量的人才，并以极具洞察力的方式进行招聘，这样的结合(我们认为我们会成功)。”
这种订阅模式对于潜在的经济衰退来说也是一个重要的对冲模式，招聘可能会放缓。 如果创业公司能够说服公司他们应该支付经常性费用是一条可行的渠道，它可能能够消化经济衰退的冲击和招聘的放缓，并证明在增加招聘和填补旧岗位等情况下是有用的。该公司还表示，已聘请约翰•凯利(John Kelly)担任营收副总裁。凯利此前曾在SAP、 Oracle和FindView等公司工作。
英语原文：That subscription model is also going to be an important one as a hedge against a potential downturn, where hiring might slow. If the startup is able to convince companies that it is a viable pipeline that they should be paying a recurring fee, it might be able to absorb the shock of a recession and a slowdown in hiring and prove useful in cases like incremental hiring and back-filling old roles. The company also said that it has hired John Kelly to be its vice president of revenue, who previously worked at companies like SAP, Oracle, and FindView.
竞争将会非常激烈，尤其是当这些公司能够收集越来越多的数据时。Recruit Holdings是包括Indeed和GlassDoor（该公司以12亿美元收购）的公司中的大型科学家公司，这可能会成为最大的障碍。帕特尔表示，与其他公司相比，Hired应该能够缩短找到候选人和招聘过程之间的时间间隔，这将是衡量公司成功与否的主要标准。
以上内容由AI翻译，仅供参考
原文链接：https://techcrunch.com/2018/06/2%20...%20iring/?guccounter=1
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