SALARY INSIGHT
Where the Money Actually Is Right Now
By Ric @ Jobric · September 2026
You're not miserable. That's the trap.
You have a job. It's fine. The commute is fine, the team is fine, the pay was fine when you accepted it. And because it's all fine, the last time you checked what your role actually pays on the open market was probably the week you signed. Since then the market moved, and you didn't, and nobody sent you a memo.
That's the quiet cost of staying put. Not a bad decision. No decision at all.
So let me do the thing you don't have time to do on your lunch break. We pulled our own analysis of 166,793 job listings over the last 30 days and asked one question: where is the money actually landing right now. Real listings, real medians, our data. Not vibes, not a headline someone recycled from three years ago.
What's actually paying
Here's the top of the board by role family, using the median advertised salary from our listings:
Physician — around $245K
Medical Affairs — around $211K
Legal Counsel — around $187K
Machine Learning Engineering — around $160K
Product Manager — around $150K
A quick caveat I'll come back to: Physician sits on a small sample (79 listings), so treat it as a signal, not a settled fact. Product Manager, on the other hand, is built on 2,097 listings. That's a sturdy number. When 2,097 listings agree on roughly $150K, you can lean on it.
If you're in or near one of these families and your current number starts with a lower digit, that gap isn't your imagination. It's the difference between what you were worth when you signed and what the role clears today.
Titles get the attention. Skills carry the premium.
Here's the part most people miss, and it's the part that matters most if you're quietly looking rather than actively jumping.
The premium doesn't only live in the job title. It lives in specific skills, and you might already have one. Highest medians by skill, from the same pull:
Treasury — around $200K
Blockchain — around $195K
Product Strategy — around $182K
Machine Learning — around $160K (n=434, a solid sample)
Read that again as your own resume. A capability you use every Tuesday and think of as "just part of the job" may be worth materially more in a different seat than it is in yours. The market prices skills. Your current employer prices your history with them. Those are not the same math, and the difference tends to favor moving.
"Competitive salary" is doing a lot of work
Now the number that reframes the whole exercise.
In our data, only about 57% of listings state a salary at all. The other 43% say some version of "competitive salary" and leave the rest to your imagination.
Sit with what that does to you as a passive seeker. When you eventually do look, nearly half the market shows you no number. So you anchor on the one number you know cold: your current salary. Which means you walk into a negotiation using the exact figure the whole exercise was supposed to update. You're negotiating from the inside of the box you're trying to leave.
Naming it is the fix. "Competitive" is not a data point. It's a blank you're expected to fill in with a lowball, and most people oblige.
Read the sample before you read the number
Quick honesty break, because this is where trust is either earned or lost.
A median is only as good as the pile it came from. Physician at $245K rides on 79 listings. Robotics, which didn't make the headline board, sits on around 50. Small piles move a lot when one or two outlier listings land in them. I'd take those as direction, not gospel.
Product Manager at $150K on 2,097 listings, or Machine Learning at $160K on 434, is a different animal. Big samples are stubborn. They don't swing on one weird posting.
So the rule, for reading our data or anyone's: look at the count before you fall in love with the number. When the sample is thin, round hard and hold it loosely. When it's thick, you can plan around it. That skepticism isn't me hedging. It's the difference between intelligence and a rumor.
You shouldn't have to run this study yourself
Here's the honest turn. Everything above took real work to assemble, and you have a full-time job that isn't "market analyst for your own career." That's exactly the gap.
Salary insights in Jobric gives you the median and percentile numbers for your specific role, region, and experience level, so you're not extrapolating from a national headline that doesn't know where you live or what you do. And continuous matching keeps running in the background, scoring new roles as they post, so a better-paid opening surfaces without you carving out a second job's worth of evenings to go find it.
That's the whole pitch: the intelligence already exists, and the search can watch the market for you while you get on with your actual work. Seeker is free. Not a trial, a real plan. If all you ever do is check what your role pays now versus what you signed for, that's a worthwhile afternoon.
What the data doesn't tell you
Medians are a floor for the conversation, not a promise. A few things these numbers deliberately hide:
Region. A $150K median folds San Francisco and rural markets into one figure. Yours is above or below it, sometimes by a lot.
Level and company stage. "Product Manager" covers a first PM at a startup and a group PM at a public company. Same title, very different pay.
A listed range is not an offer. It's an opening position in a negotiation you haven't had yet.
Use the numbers to set your floor and to know when a conversation is worth having. Don't use them as a guarantee. The median tells you the fight is winnable. It doesn't win it for you.
Where this heads
Pay transparency is coming, unevenly and slowly. Until it fully arrives, 4 in 10 listings will keep hiding the number, and the people who do best are not the boldest. They're the ones who keep a live read on their own market value instead of a snapshot from the day they signed.
Loyalty is a fine thing. Overpaying for it out of your own salary is not. The cheapest hour you'll spend this quarter is the one where you find out what you're actually worth, then decide, on real numbers, whether staying is a choice or just inertia wearing a nice sweater.
The next update lands the week of September 15.
That's the update. Now go do something that isn't job searching.
Ric @ Jobric
Sources
Jobric Market Intelligence, 30-day analysis of 166,793 job listings: top-paying role families and median advertised salaries (Physician, Medical Affairs, Legal Counsel, Machine Learning Engineering, Product Manager); highest-median skills (Treasury, Blockchain, Product Strategy, Machine Learning); salary-transparency split (57.3% of listings state a salary, 42.7% do not); sample-size flags (Physician n=79, Robotics n=50, Product Manager n=2,097, Machine Learning n=434). Internal data, not externally sourced.







