Remember when manual LinkedIn job monitoring was the only way to keep tabs with jobs on the platform? Those days are gone. With the help of a built-in LinkedIn tool, you can now automate the monitoring process. Moreover, incorporating AI-enhanced data manipulation tools into the process saves more time.

So, how do you use the AI tools alongside the inbuilt LinkedIn tool to monitor jobs on LinkedIn optimally?

1.   Define Your Job Monitoring Objectives

Are you looking to shift careers? Perhaps you want to move up the ranks. Maybe you desire to hold a specific position in a beloved company. Essentially, what’s driving you to monitor jobs on LinkedIn?

Committing to the reason you want to monitor a specific job on LinkedIn serves as a motivating factor.

With that reason in mind, proceed to identify your ideal job criteria. A job criterion includes the industry you want to work in, the title of the job, and:

  • Experience level: Are you looking for an internship, entry-level, associate, director, mid-senior, or executive-level position?
  • Job type: Do you want to work part-time, full-time, or be a contractor?
  • Location: Where are you currently situated? Do you seek a remote, on-site, or hybrid position?
  • Company size: Take into consideration the organizational environment in which you’d love to grow your career. Do you want to join a large corporation, a mid-sized company, or a startup?
  • Job function: Based on your job title, what type of work do you enjoy? For example, if you are a marketer, do you love writing, strategizing, editing, or what else do you enjoy?

In essence, understanding why you want to monitor jobs on LinkedIn grants you clarity and direction. You get to know and understand what data cues to watch.

2.   Get LinkedIn Datasets, Analyze the Data, and Set up Job Alerts

After defining the job criteria, the next step is collecting data points in line with your answers from step one. Working with specific data points increases the chances of landing suitable job opportunities. It also reduces the time taken to find them.

For example, if you are a Digital marketer, you can work with data points including:

  • Job title: Digital marketer
  • Experience level: Entry level
  • Job type: remote
  • Location: UK, remote/hybrid
  • Company size: Startup
  • Job function: SEO content writing

There are various ways of collecting full data of LinkedIn jobs to extract such a well-defined dataset. One is to set up a data scraping script to do the job for you.

Alternatively, you can entrust a LinkedIn dataset provider to do the heavy lifting for you. The providers give you access to updated and relevant LinkedIn datasets, including profile, company, and job datasets.

After getting the datasets, use AI-powered data manipulation tools like Excel from Microsoft to automate the monitoring process. Through conditional formatting, you can have Excel send you reminders or notifications. This means you can define what data cue you want to monitor and set alerts.

In addition to automating the job monitoring process with Excel or any other alternative data manipulation tool, you can set up LinkedIn’s built-in tool to monitor jobs on your behalf.

Setting up job alerts on LinkedIn

Navigate to your profile page and click the “Open to” button. This leads you to a page to define the job title, job type, location, start date, employment type, and who you’d like to view that you are open to a specific job position. Then, click save.

Now, LinkedIn will start sending job alerts to your email daily or weekly.

To manage your job alerts, click the jobs icon (the briefcase icon). This leads you to the jobs page. Then click on “Preferences” on the left section of the page. You’ll land on a page that allows you to manage your job alerts. Here, you can change the notification frequency or notification type. You can also delete the job alert.

While on the same job alerts management page, you can toggle the “Top job picks for you” slide button. Doing so allows LinkedIn to send you recommended jobs based on your LinkedIn activity and profile.

3.   Update Your LinkedIn Profile

To enhance the quality of job alerts, you should update your LinkedIn profile to highlight your skills, experience, and more. While updating these sections, use long-tail keywords to help LinkedIn determine what jobs align with your expertise.

Follow relevant influencers and companies. Check out the profiles of the companies and influencers you’re interested in working or engaging with. Then, follow them to help LinkedIn’s algorithm understand your interests.

You should also start posting content on LinkedIn and commenting on other people’s posts. LinkedIn’s algorithm can review your content and comments to determine what to recommend, increasing your chances of getting tailored job alerts.

4.   Be proactive and consistent

Tweak the automated job monitoring system to capture highly relevant job opportunities. To do so, try a combination of different data points. Take various sets of long-tail keywords on test runs and see how each trial turns out.

Remember, the quality of the data you are monitoring matters a lot. So, look into the data points defining fake job postings.

LinkedIn makes an effort to filter out fake job postings through various tactics, such as implementing AI image detectors to identify fake profiles. However, there are phony job listings that get through. Therefore, before applying to fill a role, be on the lookout for these signs of LinkedIn job scams:

  • Unexpected payment requests: Scammers may request upfront payment, promising to get you the job without going through the application and onboarding process.
  • Suspicious emails: Check if all the emails you receive from a recruiter come from their official company account.
  • Links to fake company websites: Some scammers might create a fake company website page to lure you into giving them personal information. Always counter-check the legitimacy of a link before clicking it. 
  • Request for personal information: Do not share critical information like your Social Security Number or bank details before conducting thorough research and background checks.
  • Too-good-to-be-true offers and salaries: If the salary offer is way beyond what the role qualification might demand, tread carefully.

Closing Words

There you have it! This is the best way to monitor jobs on LinkedIn. The sooner you automate your LinkedIn job monitoring process, the more time you save sending relevant job applications. Remember, you can always use alternative AI-powered data manipulation tools other than Excel.

Further Reading:

Check out this blog on how to impress your interviewer and get hired quickly.

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