Jobstreet by SEEK redefines the way talent and employers connect following the transformation of its employment platform in the Philippines.
The completely new platform now uses its parent company SEEK’s world-class artificial intelligence (AI) technology to offer better job matches, new experiences and deeper insights for both Filipino talent and employers. SEEK is an Australian Securities Exchange listed company (ASX: SEK) with a portfolio of online employment marketplaces operating across Asia Pacific and Latin America.
The transformation of the Jobstreet platform stems from SEEK’s A$180 million investment across the last three years to unify its three online employment marketplaces in APAC, namely SEEK (in Australia and New Zealand), Jobstreet (in the Philippines, Indonesia, Malaysia and Singapore), and JobsDB (in Hong Kong and Thailand). It aims to enable the company to accelerate growth and unlock a larger opportunity across the APAC region.
The Philippines is the launch market for SEEK’s multimillion dollar unification program, which will conclude in early 2024. At the program’s completion, Filipino talent and employers can have access to more job opportunities and a larger talent pool respectively across SEEK’s entire APAC region.
“Over the last 20 years, Jobstreet has been helping millions of people in the Philippines improve their working lives, guided by our vision of ‘a job for every Filipino’. In recent years, we’re seeing an increasing disconnect between the availability of jobs and talent due to the rise in skills mismatch and the ever-evolving job market.
As the country’s leading online employment marketplace, we are constantly improving our platform to meet the needs of our Filipino talent and employers, and it’s now time to say hello to the new Jobstreet by SEEK.
We are excited to be delivering even better job and talent matching with the transformation of our platform that is powered by SEEK’s innovative AI technology,” says Dannah Majarocon, Managing Director, Jobstreet by SEEK (Philippines).
New Features and Capabilities for Better Job and Talent Recommendations
The new Jobstreet by SEEK platform employs AI models to assess talent suitability, shortlist applications, and provide personalised recommendations by processing data from various sources, including the talent’s resumes, the job ad descriptions, and the employer’s past behaviors.
With that, talent will now see a ‘Top Applicant Badge’ if they are a strong applicant for the position, which increases the chance of them applying for the role, and ultimately creating better matches as their experience and skills align with the job requirements.
This also benefits employers who would receive a more qualified and relevant list of applications for the job vacancies that they publish.
To make the talent-hunting process more efficient for employers, they can also choose to include AI-recommended screening questions for their job posts, as part of the job application process. This way, the most suitable talent can be easily identified based on their responses to the questions.
The AI-powered platform also introduces a new feature – the predictive approachability signal, which is designed to assist in matching talent with potential employers more effectively. By using state-of-the-art predictive technology, Jobstreet by SEEK is able to anticipate talent that may be approachable to discuss a new job opportunity, even before the vacancy has been advertised.
Whether or not a talent is marked as approachable to employers depends on a range of factors, some of which include how active the talent is on Jobstreet by SEEK and what information they have in their profile. This feature is particularly helpful for employers who want to headhunt for the right person to fill their role.
Besides that, Filipino talent can now decide on their profile visibility on the new platform, signaling to employers that they are open to job opportunities even if they are not actively applying for jobs. This makes it easier for employers to proactively contact talent with opportunities, if applicable.
