Profile
SHORTLIZT
Empowering job seekers to succeed in recruitment
🏢 SME
Last updated: 29 Oct 2024 |
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At Shortlizt, we empower job seekers to overcome the challenges of recruitment filtering software (ATS) and enhance their job search success by providing expert resume reformatting and LinkedIn profile optimization services. With a proven track record, we help individuals stand out to recruiters and...See more
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Details
Headquarter Singapore |
Countries of operation Singapore |
Year founded 2018 (6 years) |
Funding status Private |
Company type SME |
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Frequently Asked Questions (FAQ)
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.