Tech jobs market normalizing as July unemployment dips
ciodive.com
ciodive.com
> Finding the IT workers they need to meet hiring goals or complete projects is a struggle for more than two-thirds of executives
This should tell you everything you need to know about the market. Jobs are being added, but the quality of jobs has deteriorated. If 1000 people were laid off from Google and 1000 jobs opened up for contract roles in consultancies that pay below market wages, I would not call that normalizing.
Anecdotally, it is still very hard to find a reasonable paying job. I’m not talking Google/Facebook salaries, I’m talking engineering at Albertsons salaries.
There was a time I was annoyed at the canned rejection emails but I'll be damned if I even get a one word "no" these days.
Honestly, when I do several rounds and travel 2 hours to your stupid office, I’d hope I’d at least get a fucking yes/no.
* market research -- at a previous gig (F500 multi) our HR team would periodically put out fake listings to gauge the market, see what is available, and as part of the Taleo application, asked about salary range. I'd bet my hat that they're taking the "temperature" of developers to see what is out there and what they'll ask for. I filled out a couple of those job adverts for "generic VMware Admin" for HR.
* high volume -- lots of layoffs and everyone wants to be a remote STEM worker. no time for interaction, no reason to reply, and no shortage of punters.
Settling back to something more reasonable is now a pay cut.
The never ending war on labor rates continues.
Yes, I would like that to be true, but inflation historically can and does happen independently of wage growth.
Anyone from Blind can confirm that a tech job at Albertsons is going to be the peak of anyone's career.
[1] https://news.ycombinator.com/item?id=37111560
I guess we can ask again. HN readers, what's it like for you right now trying to find a job?
> My conclusion, so far, is unless you've got strong connections it's hard right now to find a job.
By including this take, you may have primed people to respond with a similar opinion.
But actually I think it might be almost impossible to eliminate the bias. You're very likely to hear back from people who are job searching. And job searching is an inherently stressful activity that breeds a negative state of mind. So you're very likely to hear back from people who think the situation is bad.
I've updated my question so it's more neutral. Thanks for the suggestion
Guy had three prior internships, and great GPA from a top school.
It was a really hard to advocate for his hire because we could get somebody with ten years of experience. And this is even with my policy of ignoring anybody from Google.
For director level staffing and people management Google guys were too abrasive, and didn't have their hands in the code - but that is a different story.
But anyways can wax poetically about why to avoid folks from Google for days...
Walmart, Nike, Ford, etc have just as many IT workers as before.
layoffs.fyi suggests 964 tech companies w/ layoffs ∙ 231349 employees laid off in 2023, and if you look at the actual site, a whole freakin lot of them are in different countries. additionally they don't make a distinction between DEI and STEM workers, just layoffs.
there may be 100k actual programmers -- IT staff, Product Managers, DEI, etc. -- but 50% of them are in India, London, Israel, or Croatia, and most of them were never going to interview for jobs outside of their country.
While volume of hiring may have been lower overall so far this year, median compensation has generally remained steady or increased in the first half of 2023 relative to the last half of 2022 for most roles. In particular, the median for software engineer compensation stayed the same, while roles such as software engineering management saw a 5% increase in overall pay.
Augmented reality was quite in-demand so far in 2023. AI engineers have also seen elevated compensation compared to their engineer counterparts, which we analyze on our post here: https://www.levels.fyi/blog/ai-engineer-compensation.html
In other words: 700k is 700k when realized, but there’s no particular guarantee that so-and-so many units of stock are worth that much; it depends on the market. Comparing TC as if 700k is guaranteed is misleading.
Didn't get up to $700k -- that's L7/Director territory (hard to reach) -- but it's definitely possible to get into the $300-400k range just by being a run of the mill engineer at big tech.
It was flat since March '23 and had a slight uptick in July
Take with a grain of salt of course given Chamath's public performance history.
Social media commentary has been trending towards outright hostility towards the rich and politicians, not just in the usual discourse hellholes like Reddit and Xitter, but even here (I have access to dashboards that model and weight discourse; technically proprietary though so I can’t divulge too much.)
Too many people with too much time on their hands, with little expectation of help from the system will foster sentiment it is time replace the system. I don’t disagree but think it should be handled intentionally, not waved off until last minute like we did with covid and climate change.
In the US there are only 1 million LEO but an order of magnitude more of people who stand to lose it all if austerity for the proles goes on too long.
The fact that so much capital is fleeing everywhere else into the US shows that the people at the top have gotten everything locked down here. Nothing major is really coming. The progressive left is effectively dead, the far right is gasping its last breath. Where is this rebellion going to come from?
It won’t be an organized revolution but single unknowable moment which triggers a bunch of people say “fuck this shit”.
Because you’re right; traditional political groups are fading away as people realize everybody is being boned.
The people in charge today have things locked up. Generational churn is an active process. New leadership may be intentionally worse or unintentionally inept.
It’s like trying to predict the next pandemic, not so much a market crash. Markets are social systems and can be sorted socially. Moments that trigger sudden social unrest are more like pandemics; less frequent, trying to predict them involves many more variables.