Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-06-23 → 2026-09-20, SGT) · 0-2 yrs
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Who is posting

Grouped by UEN, Singapore's legal-entity number — two spellings of one employer are one row. Per-employer figures are withheld below 5 postings: one posting's applicant count is not a company's character, and a disclosure rate over three postings says nothing about its policy. "Applications/day" divides each posting's applicant count by how long it had been listed, then takes the median across the employer's postings.

EmployerTypePostingsOn board nowApplications/dayStates pay
RECRUIT EXPERT PTE. LTD.Other 254135 0.15 100.0% (254/254)
TALENTSIS PTE. LTD.Startup 223119 0.48 100.0% (223/223)
RECRUIT EXPRESS PTE LTDOther 13042 0.29 100.0% (130/130)
PERSOL SINGAPORE PTE. LTD.Other 10447 0.42 100.0% (104/104)
THE SUPREME HR ADVISORY PTE. LTD.Startup 9042 0.04 100.0% (90/90)
I-CONSULT TECH PTE. LTD.Consulting 8140 0.08 100.0% (81/81)
TIKTOK PTE. LTD.Local Tech 8128 0.50 100.0% (81/81)
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 7218 1.33 100.0% (72/72)
ANRADUS PTE. LTD.Other 718 0.00 100.0% (71/71)
BYTEDANCE PTE. LTD.Local Tech 7119 0.30 100.0% (71/71)
RECRUITPEDIA PTE. LTD.Other 5934 0.11 100.0% (59/59)
ITCAN PTE. LIMITEDLocal Tech 5823 0.29 100.0% (58/58)
EA RECRUITMENT PTE. LTD.Other 519 0.08 100.0% (51/51)
SCIENTEC CONSULTING PTE. LTD.Consulting 4114 1.19 100.0% (41/41)
MAESTRO HUMAN RESOURCE PTE. LTD.Other 3310 0.58 100.0% (33/33)
ABEAM CONSULTING (SINGAPORE) PTE. LTD.Consulting 286 0.19 100.0% (28/28)
RANDSTAD PTE. LIMITEDOther 2811 0.46 100.0% (28/28)
GMP TECHNOLOGIES (S) PTE LTDOther 2711 0.64 100.0% (27/27)
PEOPLE PROFILERS PTE. LTD.Other 2710 0.87 100.0% (27/27)
ZENITH INFOTECH (S) PTE LTD.Local Tech 276 0.47 100.0% (27/27)
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTDOther 2611 0.46 100.0% (26/26)
FLINTEX CONSULTING PTE. LTD.Consulting 256 0.46 100.0% (25/25)
COMBUILDER PTE LTDConsulting 2318 1.50 100.0% (23/23)
RN CARE PTE. LTD.Other 2217 0.29 100.0% (22/22)
INTUIT RECRUITMENT PTE. LTD.Other 214 0.16 100.0% (21/21)

By employer type

Other1903Consulting744Startup488Local Tech477Bank & FinTech70MNC38Government34

Type is derived from the company's SSIC industry code and headcount, not self-declared — read it as a bucket, not a badge.

2. How long postings stay up

31 days
Median, closed postings
2,221
Postings measured
1,536
Still up, not measured

This is how long closed postings stayed up — not how long a posting lasts. A posting still on the board has no end date, so it cannot be counted, and the ones that linger are exactly the ones missing. The figure therefore runs short, and the 1,536 still up are the size of what it cannot see. Resolution is one day: collection is a daily batch.

Listed forPostingsShare
<7 days00.0%
7-14 days1687.6%
15-30 days81436.7%
30-60 days123955.8%
60+ days00.0%

Postings worth a second look

Of 1,533 postings on the board, 0.0% have been listed over 60 days (0) and 23.6% have been reposted at least once (362). Signals, not verdicts — a genuinely hard-to-fill role looks the same from outside as a listing nobody intends to close.

3. How contested

Median applications and views per day, by discipline, over the trailing 90 days. Both counters are cumulative totals read at collection time, so they are divided by how long each posting had been listed — otherwise the figure measures how old a posting is rather than how contested. Withheld below 5 postings.

DisciplinePostingsApplications/dayViews/dayApply rate
AI-ML185 1.06 10.00 12.6%
Backend1452 0.38 6.50 9.0%
Data269 1.23 9.97 15.0%
Frontend33 0.54 7.31 9.9%
Fullstack143 0.44 6.92 9.1%
Mobile64 0.29 7.73 6.3%
Platform1168 0.44 6.08 10.5%
SRE7 0.50 6.00 9.6%
Security433 0.26 6.10 8.0%

These are snapshots, not trends. Each collection overwrites the view and application counters, so no history is kept — "applications this week" and "competition over time" are questions this system cannot answer, and nothing here should be read as movement.

Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.