Job Search Strategy
Why you shouldn’t apply to LinkedIn’s recommended jobs
LinkedIn recommends jobs by matching your profile and preferences to the posting, so the same picks reach everyone who looks like you on paper, usually on the same day. Use them to find companies, then apply through a door the feed didn’t hand to everyone else.
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Full episode transcript
It’s Wednesday morning, and LinkedIn’s email is already waiting. Eight top job picks… chosen for you. You Easy Apply to four of them before the coffee’s done. And by Friday, you couldn’t name two of those companies.
That’s what I want to talk about today. LinkedIn recommended jobs, and why you shouldn’t apply to them. At least… not the way they’re handed to you.
Here’s the short version. LinkedIn picks those jobs by matching your profile to the posting. Which means the same job goes to everyone whose profile looks like yours. Often in the same hour.
So a top job pick for you… is really a top pick for people like you.
Now here’s what the feed can’t see. Before a role goes up, there’s an intake meeting. The hiring manager tells the recruiter who they lost, which competitor they’d love to hire from, and what the budget really is. And whether someone internal is already in the running.
Then the posting gets written. Often starting from the last posting for the same title. It’s the public draft. The intake notes are the real one.
And the wish list comes out in code. Hit the ground running means you’ve done this exact job somewhere like here. Strong communicator means the last person wasn’t.
So the recommendation matched you to the posting. The recruiter is matching you to the meeting.
Here’s what to do instead. Keep the feed… but change its job. Read it for companies, not jobs. Write the names down, and close the tab.
Check the date and the applicant count before you click anything. Apply on the company’s own site when you can. That puts you in their database, which is where the recruiter searches next time, too.
Before you apply, guess what the hiring manager said in that meeting. Then put those exact words in the top third of your resume.
And stop clicking jobs you wouldn’t take. The feed learns from every click. One night of panic-clicking step-downs… and tomorrow’s picks are step-downs.
Then fix what the feed is reading. Update your Open to Work titles to where you’re going, not where you’ve been. Run your own search, posted in the past twenty-four hours, with an alert on. Write down where every application came from. And when there’s a name on the posting, send the first message yourself.
Here’s the part I’d want you to screenshot. A recommended job wasn’t picked for you. It was picked for everyone who looks like you.
Tonight, open your recommendations, copy the company names, and close the tab. Ten minutes… and it’s free. If you want help building the search around that list, the details are in the post. I’ll talk to you next time.
Angela Malagon · Career Strategist. 15+ years recruiting talent for companies such as Cisco, Google, and Wells Fargo, then job searched against the same systems.
It’s 7:10 on a Wednesday morning, and LinkedIn’s email is already waiting: eight top job picks, chosen for you. You Easy Apply to four of them before the coffee finishes. By Friday you couldn’t name two of those companies, and nobody at any of them could name you.
Here is the short answer on LinkedIn recommended jobs: they’re picked by matching your profile and preferences against the posting, which means the same job lands in front of everyone whose profile looks like yours, often in the same hour. A top job pick for you is really a top pick for people like you. Use the recommendations to find companies, then apply through a door the feed didn’t open for everyone else.
You can’t out-click this. Applying faster, or to more of them, just puts you in more of the biggest piles. What works is changing what the feed is for: a free research tool instead of a to-do list. Everything below costs nothing, and you can start on it before lunch.
What the recruiter knows that the recommendation doesn’t
Before a role goes up, there’s an intake meeting. The recruiter and the hiring manager sit down for half an hour, and the hiring manager says the things that never make it into the posting. Who they lost and why. Which competitor they’d love to hire from. What the budget really is, as opposed to what the title suggests. Whether someone internal is already interviewing.
Then the posting gets written, usually after the meeting, often starting from the last posting for the same title, sometimes by someone who wasn’t in the room. The posting is the public draft. The intake notes are the real one.
In those meetings, the wish list came out in code. Someone who can hit the ground running meant someone who has done this exact job at a company like ours. Strong communicator meant the last person wasn’t. Open on background meant open until the first resume from a different background showed up. None of that is on the page LinkedIn matched you to.
When I went into the pile, I searched for what came out of that meeting, in the words it came out in. Whatever label the platform had put on an applicant didn’t change my search. That’s why the exact words in the posting beat your synonyms, and why the words behind the posting matter even more.
The recommendation matched you to the posting. The recruiter is matching you to the meeting. And sometimes that meeting already produced a name, which is the line that forms before a role ever goes public.
Why recommended jobs put you in the biggest pile
LinkedIn says it builds these recommendations from the job preferences you set in Open to Work and from how well your profile matches a posting’s qualifications. Premium members get a version labeled jobs where you’d be a top applicant. It’s a match against your profile, and it runs for every member whose profile resembles yours.
Then the same picks go out by email and notification. In early 2025, LinkedIn put application volume on its platform at roughly 9,000 a minute. Point a recommendation engine at that much volume and it does exactly what it was built to do: it sends people who look alike toward the same postings.
Picture two laid-off marketing managers, both made up. The first works the feed: forty Easy Applies over two weeks, every one of them a top pick. The second opens the same feed, pulls out twelve companies, applies to five of them on their own career sites, and sends a short note to the recruiter on three. She sent an eighth of the applications. She’s also the only one of the two with a name attached to anything.
It’s unfair that forty sincere applications can count for less than five. It’s still arithmetic, and the line you stand in is one of the few things in this process you get to pick.
What to do with LinkedIn recommended jobs instead
Keep the feed. Change its job. It stops telling you where to apply and starts telling you who’s hiring.
- Read the picks for companies, not jobs. Once a week, scroll the recommendations and write down every company worth a look. Then close the tab without applying to anything.
- Check the date and the count first. Every posting shows when it went up and roughly how many people have applied. A pick that’s a few days old with a big number on it has already been sent to most of the people it was ever going to reach.
- Apply on the company’s own site. If the role is on their careers page, apply there. That puts you in their applicant database, which is where the recruiter searches when the next role opens, too.
- Write to the intake meeting. Before you apply, guess what the hiring manager said. Read the team’s recent posts, the company news, and whatever the posting repeats. Put those exact nouns in the top third of your resume.
- Stop clicking jobs you wouldn’t take. The feed learns from what you open, save, and apply to. One night of panic-clicking step-downs, and tomorrow’s picks are step-downs.
- Replace the picks with your own search. Exact title, your location, posted in the past 24 hours, alert switched on. You wrote that query, so it reflects where you’re going instead of where you’ve been.
- Log the source of every application. Feed, career site, referral, recruiter. In three weeks you’ll know which one actually answers.
- Send the first message yourself. When a posting names a recruiter or hiring manager, write to them within a day of applying: two or three sentences, specific to the role. Waiting to be found is the other half of the feed trap.
Before and after: one week with LinkedIn’s picks
This candidate is made up. The pattern is not.
Before
Monday: 9 Easy Applies from Top job picks for you.
Tuesday: 7 more from the morning email.
Wednesday: 6 from jobs where I’d be a top applicant.
Thursday: 3, all step-downs, around 1 a.m.Friday: 25 applications, no names, no replies, and a feed that now recommends step-downs.
After
Monday: 20 minutes in the feed. Wrote down 7 companies. Applied to nothing.
Tuesday: 3 of the 7 had the role on their own careers page. Applied there.
Wednesday: Found the recruiter on 2 of them and sent a short note.
Thursday: Set 2 alerts for my exact title, posted in the past 24 hours.Friday: 5 applications, 2 of them with a person on the other end who has read my name.
Same person, same feed, same week. The first week produced a number. The second produced people who know who she is.
The settings that decide what LinkedIn recommends
The recommendations aren’t random, and they aren’t fixed. They’re built from a few inputs you control, and after a layoff, most of those inputs still describe the job you lost.
- Open to Work job titles. LinkedIn uses these to build the preference-based picks, and it refreshes them as soon as you edit. List the titles you’re targeting now, not the one on your last badge.
- Your headline and most recent title. The profile match reads these. If your headline still names your old role, expect the feed to keep serving your old role, or the one a step below it.
- What you click and save. Your activity tells the feed what you’ll accept. Treat every click as a vote.
- The recommendation emails. Turn them down or off, and let your own saved searches send the alerts instead.
- The top applicant filter. If you pay for Premium, read it as one signal of overlap with your profile. It wasn’t in the intake meeting, so it can’t tell you who the recruiter will call.
The part I’d want you to screenshot
You don’t control how LinkedIn ranks postings, who else gets the same email, or whether a name came out of the intake meeting before the role went up. You control what the feed learns from you and which door you walk through. If you’d rather have proof than my word, track where your replies actually come from for three weeks and let the numbers settle it.
The mechanism is simple: the feed matches you to a posting, and it matches everyone like you to the same posting. Tonight, open your recommendations, copy the company names into a list, and close the tab. That’s ten minutes, and it’s free.
A recommended job wasn’t picked for you. It was picked for everyone who looks like you. Take the company it showed you, and go in through a door it didn’t show anyone else.
If you want a search that doesn’t run on the feed
Getting off the feed is easy to say and strange to do, because the feed is the one part of a search that always feels like progress.
That’s Job Search Strategy, $400. I research your target market first, then we spend 60 minutes choosing the companies your search should aim at and the way into each one, and you leave with a 30-day plan. It replaces the morning email with a list you picked on purpose.
Send the contact form and you’ll get a personal reply from me within 48 hours. Not a bot, not a template. If you’d rather work through it yourself first, the Job Search Library is free, and the Job Search Tracker is where you log the source of every application, so in three weeks you can see whether the feed ever wrote back.
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