If you have a list of 20 to 50 employers you'd like to work for, the highest-leverage thing you can do is monitor their careers pages directly. Here is every practical method, ranked by effort, freshness, and how well it actually works in 2026.
If you have a list of 20-50 employers you'd genuinely like to work for, the highest-leverage thing you can do in your job search is watch their careers pages directly. Everything else - LinkedIn, Indeed, niche boards, recruiter outreach - is downstream of the canonical source. The role goes live on the company's own ATS first, then the rest of the world finds out about it.
The gap between "live on the ATS" and "indexed by LinkedIn" runs a median of 1.5-3 days, with a long tail to a week or more (we measured it). For most knowledge-work roles, that gap is the difference between applicant #15 and applicant #150.
Monitoring one careers page is trivial. Monitoring thirty of them daily by hand is not. The methods below are sorted by how well they scale - and how much of your life they consume.
Effort: 10 to 15 minutes per day. Freshness: same day. Coverage: 100 percent.
The lowest-tech approach. Bookmark each careers page in a dedicated browser folder. Right-click the folder and choose "Open all bookmarks" (Chrome, Firefox, Edge, Safari all support this). Scan each tab for new roles. Close tabs as you go.
Works well for 10 to 20 employers. Becomes unsustainable above 30, because the cognitive load of remembering which roles are new across that many pages overwhelms most people inside two weeks. The visible churn rate matters: a careers page with 5 roles that's been the same for a month is easy to skim; a careers page with 200 roles that updates weekly is exhausting.
When this works: small target list (under 20), routine-disciplined applicant, employers with stable visible role counts.
Effort: 30 minutes to set up. Freshness: near-real-time. Coverage: partial (only some ATSes expose feeds).
A handful of ATSes still publish RSS or Atom feeds of their public job postings. Greenhouse and Lever historically did; many have deprecated this. The remaining option is to use a service that converts a careers page into an RSS feed (Feedly's web-monitoring features, FetchRSS, RSS.app).
An RSS reader (Feedly, NetNewsWire, Reeder, Inoreader) becomes your single inbox for all monitored careers pages. New jobs appear as new feed items.
When this works: you already use an RSS reader, you're comfortable setting up converters, and your target employers happen to use ATSes that play well with RSS.
Where this falls down: coverage is uneven. Workday in particular rarely exposes anything useful for RSS-based monitoring without paid feeds.
Effort: 5 minutes per employer. Freshness: variable, often 24 to 72 hours. Coverage: partial (only employers that offer it).
Some company careers pages offer a "join our talent network" or "create a job alert" sign-up that emails you when new roles in a selected category are posted. Workday's Talent Community, Greenhouse's job alerts where enabled, Phenom-powered career sites that include this feature.
This is genuinely useful for employers that offer it. The downside is the freshness varies wildly: some employers send same-day emails; others batch weekly. There's also a real risk that the employer's system tags new roles inconsistently, so a role you'd care about doesn't trigger an alert because it was filed under "engineering" rather than "data engineering".
When this works: employer offers same-day alerts, you trust the category tagging, you don't mind giving your email address to every employer on your list (which puts you on their marketing pipeline).
Effort: 1 to 2 minutes per employer to set up. Freshness: typically 6 to 24 hours, depending on check frequency. Coverage: any page that's HTML.
Tools like Visualping, Distill, Wachete, ChangeDetection.io let you point at any URL and get an email when the page changes. Distill in particular has a free browser extension and a paid cloud option.
The advantage is universal coverage: as long as the careers page renders in a browser, the monitor can watch it. The disadvantage is two-fold. First, the alerts are noisy: any HTML change (a new "featured employee" widget, a CSS class change, a slight reordering) triggers an email. Second, single-page-app careers pages that load content asynchronously (most Workday and Phenom sites) often don't trigger monitors correctly, because the initial HTML doesn't contain the role listings.
When this works: employer's careers page is server-rendered HTML, you're willing to tune noise filters, you have under 10 to 20 employers to monitor (free tiers cap there).
Effort: 4 to 20 hours of one-off engineering. Freshness: as frequent as you schedule. Coverage: whatever you build.
If you're technical, you can write a Python script that fetches each careers page on a cron schedule and emails you a diff. The basic ingredients are HTTP requests, an HTML parser, and (for JavaScript-heavy career sites) a headless browser library. Our piece on JSON-LD JobPosting covers how to extract structured role data from most modern careers pages cleanly.
The tradeoff is straightforward: you trade engineering time for full control. Maintenance is the hidden cost. Companies redesign their careers pages every 12 to 24 months, and each redesign breaks your selectors. You'll end up spending an hour every few months patching things, sometimes longer when an employer switches ATS entirely.
When this works: you're a software engineer, you enjoy this kind of thing, you have under 50 employers and don't expect to scale further.
Effort: 5 minutes to sign up and configure. Freshness: same day. Coverage: whatever the service supports.
This is the category FirstPost sits in. The model: a service that monitors every major ATS (Workday, Greenhouse, Lever, Ashby, Phenom, iCIMS, SmartRecruiters, SuccessFactors, and a long tail of custom systems) on your behalf, and emails you matching roles based on your filter criteria.
The advantage over rolling your own is that maintenance is somebody else's problem: when an employer redesigns their careers page or switches ATS, the service handles it, not you. The advantage over aggregators is that the service reads the canonical source directly, so there's no aggregator delay.
When this works: larger target lists (30+), longer-term job search, or when you'd rather pay a small monthly fee than maintain monitoring yourself. Try FirstPost free.
| Method | Effort | Freshness | Scales to |
|---|---|---|---|
| Manual bookmarks | 10-15 min/day | Same day | ~20 employers |
| RSS feeds | 30 min setup | Real-time | Limited by ATS |
| ATS email alerts | 5 min/employer | Variable | ~30 employers |
| Page-change monitors | 2 min/employer | 6-24 hours | 10-20 (free), more with paid |
| Roll your own monitor | 4-20 hours one-off | As scheduled | Anything you build |
| ATS monitoring services (e.g. FirstPost) | 5 min setup | Same day | Hundreds |
Spend 60 minutes building your target list - 20-50 employers you'd genuinely like to work for. Don't filter by "ideal" yet, filter by "would have a real conversation with". You can sort later. Then pick the matching method from the table above: under 20 employers and you're disciplined, manual bookmarks are fine; 30+ and you want it off your plate, use an ATS monitoring service. Run whichever you pick for two weeks before tweaking. The discipline matters more than the tool choice, and most people who change tools weekly are dodging the discipline question.
What you're really choosing between is "how much of my time goes into the monitoring loop". Manual bookmarks: 15 minutes a day, forever. Rolling your own: a one-off engineering bill plus a maintenance tax. A service like FirstPost: 5 minutes of setup, then it's somebody else's problem. Pick whichever pain you find more bearable - all of them beat the alternative, which is finding out about the role four days late on LinkedIn and applying as applicant #120.