What Are Ghost Jobs? Four Signals to Check in 60 Seconds (2026)

Adrian George
Adrian GeorgeFounder & Engineer, ApplyArcFounder of ApplyArc. Software engineer building the AI Career Coach, anti-AI resume guard pipeline, and Kanban tracker that ships to production daily.
Updated
9 min read
The Short Answer· Updated June 2026

Some "open" roles were never real. Knowing the tells saves you hours of wasted applications.

Ghost jobs are listings posted with no immediate intent to hire, sometimes to build talent pools or test the market. Resume Builder's 2026 survey found that around 40% of hiring managers had posted at least one. Check posting age, the company careers page, a named contact and the salary band. ApplyArc lets you track which jobs actually reply, free, no card.

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The short version

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Resume Builder's 2026 survey found that around 40% of hiring managers had posted at least one ghost job. Use this manual four-signal triage: posting age, named recruiter, company careers page and salary band. No AI verdict, just checks you can verify.
Table of contents

The short version

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A "ghost job" is a job posting that is live online but is not actually being hired for. The hiring team may have paused, filled the role internally, or posted it to build a future talent pool. Resume Builder's 2026 survey found that around 40% of hiring managers had posted at least one ghost job. This guide gives you four signals to verify before you invest in a tailored application.

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What a ghost job actually is

A ghost job is a publicly listed role that is not, in any practical sense, open. There are five shapes it takes in 2026:

1. The internal-hire decoy. The company has already promoted someone or made an internal offer, but their HR policy or government compliance rule requires them to publicly advertise the role anyway. Common in NHS, Civil Service, US federal contractors, and most UK public sector employers.

2. The pipeline harvester. A staffing agency or in-house TA team posts a generic role to collect CVs for a pipeline that does not have a real opening this quarter. The CVs get tagged in their ATS and revisited if a need ever materialises.

3. The paused requisition. A real role that got opened, then frozen mid-process due to a hiring pause, restructure, or budget cut. The posting was never taken down because removing it would tip off the market that something is wrong.

4. The aspirational listing. Common in scaleups. Founders post the role they want to fill if their next round closes. If it does not close, the role evaporates.

5. The data-collection listing. Rare but documented. The role exists only to mine the labour market: who applies, what salary they want, what skills are common. The "company" is sometimes a shell or a research firm.

I want to be clear: the existence of ghost jobs is not a moral failing of recruiters. Some are an accident of process. The damage is on the candidate side: you can spend hours tailoring a CV and writing a cover letter for a role that was never going to hire you.

How common is this, with sources

Source, Date, Finding data table
SourceDateFinding
Forbes / Resume Builder2026Around 40% of hiring managers admit to posting at least one ghost job
Resume Builder surveyJanuary 202639% of hiring managers say their organisation posts roles to "build a talent pipeline" with no immediate intent to hire
Industry reporting2026Public requisitions often stay live well past the date a hire is actually made

The studies do not agree on a single percentage, partly because they define "ghost job" differently. Treat an old posting as a signal to verify, not proof that the role is fake.

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Four signals you can check

These are editorial checks you can run against public information. None is an automated ApplyArc score, and no single signal proves that a listing is fake.

Signal 1: Posting age

A role that has been live more than 30 days on LinkedIn, Indeed, or the company careers page is a yellow flag. More than 60 days is a red flag.

The mechanism: a posting can remain public after its status changes. The older it is, the more important it becomes to verify it against the company's own careers page.

How to check yourself: look at the "posted X days ago" line on LinkedIn. If it says "30+ days ago" the platform has stopped counting. That is your signal.

Signal 2: Named recruiter or hiring manager

A named contact ("Hiring Manager: Priya Khan" or "Recruiter: Sam Owens") gives you a person who can verify whether the role is active. An anonymous "Talent Acquisition Team" listing does not.

The mechanism: a named person gives you a verification path before you spend time tailoring.

How to check yourself: search "[company name] [role title]" on LinkedIn and look for an in-house recruiter or HR partner who recently posted or shared it. No matching share is one signal to investigate, not proof.

Signal 3: Presence on the company's own careers page

If the role is on a job board but not on the company's official careers site, verify it before applying.

The mechanism: the company's own careers site is the closest public source for whether its requisition is still open. A third-party board can carry an aggregator copy or stale repost.

How to check yourself: Google "[company name] careers [role title]" and verify the role appears on the official /careers or /jobs page hosted on the company's own domain. If not, downgrade the listing.

Signal 4: Salary band specified

A stated salary band is evidence that someone has budgeted the role. Its absence does not prove a listing is fake, but it gives you one more thing to verify.

The mechanism: a real hire needs an agreed budget. A published range is one visible sign that the budget exists.

How to check yourself: scroll the listing for any salary, range, "£" or "$" or "competitive (up to £X)" mention. Absence is a yellow flag, especially in California or the UK NHS / Civil Service estate.

A 60-second triage you can run before applying

  1. Posting age: open the listing. If 30+ days old, score 1. If 60+ days, score 2.
  2. Named recruiter: search LinkedIn for the role + company. No named share in 14 days, score 1.
  3. Careers page check: Google "[company] careers". Role missing, score 1.
  4. Salary band: no number, score 1 (or 2 in a pay-transparency jurisdiction).

A total score of 3+ is a prompt to verify the role with a named person before investing in a tailored application. It is not a verdict.

This is not a perfect filter. Real roles can score 3 and ghost roles can score 0. The triage tells you where to verify before tailoring.

Still reading? Your resume might be the problem.

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How to use this with ApplyArc

Use ApplyArc to track the jobs you decide are worth pursuing, the date you applied and whether the employer replied. Keep the four checks above in your notes when a listing needs verification.

If you are deep in a job search, start tracking every application and compare the sources that actually reply. Your own response data is more useful than a universal ghost-job score.

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What ApplyArc is NOT doing

I want to flag two things this post is not claiming:

  • We are not claiming an AI model decides ghost-job status. The four signals above are deterministic and human-auditable. AI in the loop here would add false confidence and brittleness.
  • We are not naming specific companies as ghost-job offenders. The studies above name some, but the data is noisy enough that public accusations would be irresponsible. The pattern is structural, not personal.

Sources

  • Forbes coverage of ghost job listings (2026).
  • Resume Builder, "39% Of Hiring Managers Admit To Posting Ghost Jobs" (January 2026).
  • Industry reporting on requisition lifecycles and ghost-job prevalence (2026).
  • The four-signal triage above is editorial guidance, not an automated verdict.

Last reviewed: June 2026 by the ApplyArc team.

#Ghost Jobs#Job Search#Hiring#Recruiting#ATS
Adrian George

Adrian George

Founder & Engineer, ApplyArc

Adrian builds and ships ApplyArc end-to-end. He writes about the engineering behind the product, the guards that catch AI tells, the eval harness, and the rewrites that keep cost and latency down.

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