job hunting
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Jobvite, the company that was once an early mover in leveraging social networks to help source job opportunities and find interesting candidates for openings, is today announcing two big moves to double down on its ambition to build a bigger platform for recruitment and applicant tracking.
The company has picked up an investment of over $200 million, and it will be using the money to acquire three smaller companies focusing on different aspects of the recruitment process: Talemetry (which specializes in recruitment marketing); RolePoint (for employee referrals and in-company moves); and Canvas (a text-based conversational bot to get the screening process started).
Jobvite is not disclosing its valuation with the funding, which is coming from private equity firm K1, but for a little guidance, in an interview, Dan Finnigan, Jobvite’s CEO, said it was a majority stake but nowhere near a full acquisition. (PitchBook’s last valuation of the company, of around $150 million, is very old, dating from September 2014; and it has never been confirmed by the company.)
The combined company will have 2,000+ customers that include Schneider Electric, Lenovo, Santander, PayPal, Genuine Parts, and Panasonic.
Finnigan says that Jobvite’s growth, and investor interest in backing that, is happening in tandem with two changes, one technological and another the evolution in how organizations handle human resources.
Several years ago, many companies — hoping to cut costs — merged together their personnel and recruitment operations, “and recruiting became an afterthought,” he said. That led to companies tacking on, as a kind of minimum viable solution, applicant tracking software but little or nothing else.
But more recently, the war for talent has escalated — not just because unemployment is low but because there are now multiple different opportunities and shortages of suitable people for specific, often emerging skills. In turn, businesses have started to realise “that recruiting is the backbone of every company, and that applicant tracking is just not enough,” he said.
At the same time, there have been evolutions in the technology. While a lot of recruitment software (and the recruitment process) has traditionally been quite fragmented, a move to cloud solutions has provided an avenue for consolidating the process and using one platform to manage it. (Google’s launch of Hire, which lets users manage job applicants using G Suite apps; LinkedIn’s recruitment platform; Zoho and SmartRecruiter are all prime examples of how cloud platforms are being used to build more complete sourcing and tracking services.)
Coupled with this is a rising use of technology like machine learning to remove some of the more mechanical aspects of a recruiter’s job to speed up processes.
Jobvite’s three acquisitions all play into both of these trends. Canvas, for example, uses a bot to source initial information about a candidate to start the screening process before human recruiters step in to take over.
Talemetry, meanwhile, taps into marketing tech to help identify where the most ideal candidates might be in order to better target job opportunities at them, in the form of ads or other kind of content.
Lastly, RolePoint will add a new feature to tap into referrals from existing employees, and to help manage in-company moves.
Finnigan likens the cloud-based platform approach that we’re seeing in the market to the impact Salesforce has had on the expanding concept of CRM. “We know that marketing and sales software have continued to evolve with new features like content marketing, and the same has happened in recruitment,” he said.
“We are excited to be investing in such an innovative set of technologies,” says Ron Cano, managing partner at K1 Investment Management, in a statement. “The talent acquisition industry is critical to our economy and ripe for disruption with outdated software still prevalent. K1’s investment will create the only true end-to-end talent acquisition platform and will provide our customers with accelerated growth in innovation of product features and services.”
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MeetFrank, aka a ‘secret’ recruitment app that uses machine learning plus a chatbot wrapper to take the strain out of passive job hunting and talent-to-vacancy matching, has closed a €1 million (~$1.1M) seed funding round to fuel market expansion in Europe.
Hummingbird VC, Karma VC, and Change Ventures are the investors.
The Estonian startup was only founded last September but says it has ~125,000 active users in its first markets: Estonia, Finland, Sweden, Latvia, Lithuania, plus its most recent market addition, Germany, an expansion this seed has financed.
Around 2,000 companies are using the app to try to attract talent. In Germany employers on board with MeetFrank include Daimler, Eon, Delivery Hero, SumUp, Blinkist, High Mobility and MyTaxi.
“The average company profile we have at the moment is a start-up/scale-up company that develops their product in-house,” says co-founder Kaarel Holm.
“At the moment we are mainly focused on technology-related companies — so positions you can find from average start-up or a scale-up,” he tells TechCrunch. “Around 50% of the position are engineering and other 50% is marketing, sales, customer support, legal, data science, product/project management etc.”
He names TransferWise, Taxify, Testlio, Smartly and High-Mobility as other early customers.
Here’s how MeetFrank works on the talent side: The person downloads the app and goes through a relatively quick onboarding chat with ‘Frank’ (the emoji-loving chatbot) where they are asked to specify their skills and experience — choosing from pre-set lists, rather than needing to type — plus to state their current job title and salary.
So while MeetFrank’s target is passive job seekers, these people do still need to actively download the app and input some data.
Hence the chatbot having a strong emoji + GIF game to convince talent that a little upfront effort will go a long way…

The bot also asks what would convince them to switch jobs — offering options to choose from such as a higher salary, more flexible or remote working, relocation, a startup culture and so on.
The anonymous aspect comes in because there’s no requirement for users to provide their real name or any other identifying personal information in order to get matches with potential positions.
Talent is therefore assessed on its merits, at least at this stage of the job hunt.
And while people are asked up front to specify their current salary, which you might think puts them at a potential disadvantage during any pay negotiations, Holm says the aim of MeetFrank’s platform is also to encourage greater openness from employers and steer away from traditional pay negotiation situations.
“We use salary as one datapoint for matching and we try to make sure that offers we make to the user are match their preferences. In lot of cases the salary is the main deal breaker and we would like to present the information as early as possible,” he explains. “Companies on the other side of the marketplace disclose their salary for the users as well — in that case we can avoid the negotiating disadvantage.”
“The policy of MeetFrank platform is that companies have to be extremely open about the position they are trying to fill — this also includes the salary information,” he adds.
Employers are not at all anonymous on the platform. On the contrary, they have to write detailed job advertisements — including levels of pay for advertised roles.
And a pay range will be disclosed to applicants that the app deems potentially suitable — i.e. after its matching process — by displaying a percentage of how much more they could earn above their current salary.
So employers need to be comfortable showing their hand to people who may just be curious what’s out there.

For employers, MeetFrank takes over the ad placement process — using its machine learning to algorithmically match potential candidates to positions. So its proposition is automatic pre-selection across “thousands” of potential job applicants.
And also the possibility of reaching talent which might otherwise not realize that company is hiring. Or think about working for a certain brand.
The app is mainly focused on a “passive talent pool” — aka “currently or recently employed talent that is open for offers”, as Holm puts it. So it’s certainly cherrypicking easier types of jobs to match and fill.
“Entry level jobs is bit out of reach for us at the moment but we will launch a beta project with couple of universities in the autumn this year,” he adds when we ask if the app is open to matching people who don’t currently have a job or are looking for a first job.
Holm says MeetFrank is currently showing 50% MRR growth. It’s already out of the pre-revenue phase — so is charging employers to advertise (the service remains free for the talent side).
The main monetization model is a daily subscription, with employers being charged on a pay-as-you-go basis. Holm says the price per day for employers is €9, and MeetFrank lets them cancel at any time — with no minimum time commitment required to sign up.
“We believe that the new-aged classifieds will only monetize on that kind of on-demand model and should only pay when they find us useful. This also lowers the barrier of entry to most of the start-ups and allows them to vet the market and get visibility with low budgets,” he adds.
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LinkedIn, the Microsoft-owned social network for the working world with some 500 million members, has made a large business out of recruitment — with some 11 million job listings on the site at any given time, and the recruitment market providing the company with its largest source of revenue. Now it is taking another step ahead in building out that business with a new product:… Read More
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While at LinkedIn, Steve Goodman and his co-founders spent a lot of their time trying to help companies dig up the best possible candidates from those that exist around the Web — but might not have applied.
But after candidates have applied, their resumes are sitting in a database somewhere on a company’s servers. And they continue to sit there, likely untouched or only lightly… Read More
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Because managing a large pool of job applicants can be cumbersome, SmartRecruiters thinks its software has the right tools to keep you organized in your candidate search. The team counts clients like Square, Atlassian and Equinox gyms, who use SmartRecruiters to manage job postings and communicate about prospective employees. Now SmartRecruiters is arming itself with a $30 million funding… Read More
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LinkedIn, a social network focused around the working world with nearly 400 million members, is well known for how it uses algorithms to suggest potential business connections and jobs based on your profile. Now, it’s injecting more data analytics into another part of its platform: job listings.
Today LinkedIn is taking the wraps off a new version of its Jobs section, where —… Read More
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