Business Big Tech Layoffs Megathread - Techbros... we got too cocky...

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Since my previous thread kinda-sorta turned into a soft megathread, and the tech layoffs will continue until morale improves, I think it's better to group them all together.

For those who want a QRD:


Just this week we've had these going on:

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But it's not just Big Tech, the vidya industry is also cleaning house bigly:

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All in all, rough seas ahead for the techbros.
 
They would, if they were allowed to hire based on perceived potential, test for intelligence and other attributes that indicates someone can be trained. But they're not allowed to do that, they're required to be legally blind to anything that isn't immediate merit to the job role. If they hire someone who doesn't have the credentials to do the work, with intent of training them, that's opening them to liability for discrimination towards people who applied and had better paper credentials.
There's also no way to stop bigger companies from just poaching your good employees once you've trained them up as modern corporations are full to the brim of the retarded idea that "we can't pay employees what they'd make at a competitor but we can hire new people at that rate".

You can try and fill out some dubious non-compete but those don't generally hold up anymore.
 
There's also no way to stop bigger companies from just poaching your good employees once you've trained them up as modern corporations are full to the brim of the retarded idea that "we can't pay employees what they'd make at a competitor but we can hire new people at that rate".
I genuinely do not grasp this concept and why its so utterly pervasive in the modern business world.
 
"This will break in this way and here is why you are stupid and how to not be stupid" and the number of people with this knowledge is decaying rapidly. most of the people who "just know" shit are 45+, and all the people under them don't understand shit about any of it. once the old tech heads who came up between 1980-2000 retire/die there's gonna be such a shitshow, and by that i mean either you are a tech expert and make real money or you are a vibe coding grunt who is paid as much as a desk clerk because you're hardly better than AI (Actually Indian).
I drink because my work will be passed onto a bunch of iPad kids who don't understand that a filesystem is more than the /home directory of the Apple files app programmed by the dirty, shit-flinging pajeets that don't understand anything outside of the /home directory but they were told to put everything there and not let the 'Files' app show anything else.

Basically, after this generation retires, the entire Internet is fucked and people like Josh will be the only people that understand what's actually going on.
 
WARN notifications are up for Amazon (see above):
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An article on the same: Amazon Layoffs - In My Own Words - 1.6.25
Text:
I am asked about my experience at or around Amazon’s ecosphere of products, channels, and culture routinely by friend, family and acquaintances. Not every day, but enough that it made me want to write about my time there and around the brand. I have spent only 13 months of my career at Amazon HQ, but since 2019 I have been either working on a channel that involves Amazon Retail and collaborating with them, competing against Amazon, or working for them. Here’s my take on the state of their brand.

When peering in, from the rain-soaked streets of Seattle to the clean corners of Bellevue, Amazon is portraying itself as clean, cutting edge, and ready to leap into the AI age with both feet— but without legs, in my opinion. They are everywhere, advertising how AWS’ metrics and insights can help your business home in on any strategy. Or in other words, you can count on Amazon to deliver incredible solutions that will give you the top line revenue that’s missing from your channel. Have you seen the AWS advertisements infesting every Sunday football game, and even during the World Series this fall. The ads show how AWS helps the sports teams you’re seeing on Sunday TV to be better at everything by providing more DATA! It’s a simple way of saying if you pay us, we’ll make you more money—guaranteed. Until, let’s say, the journey brings you to year 5 or 6 for said business channel. Things start to surface to the top: arbitrage, lost Buy Box, promotions not working as usual, new product launches not as successful, and loss of pricing control. Those weren’t even a problem when you first started the channel for your brand.


Slowly they trap you with new customers, easy marketing allocations, and cheap promotions. Eventually Amazon wants more, and now they are starting to provide high-level business strategies for your brand on how to succeed on any of their Amazon channels. But it isn’t just for this channel, no, they want to control every aspect of how you sell your brand and tell you how to do it on other e-commerce platforms, too. Here’s a little insight into why it’s happening.

When I departed Amazon after my last contract, the culture I left was fraught with anxiety. It was everywhere. Your co-workers live their lives in isolating silos with zero handholding, and only an online Wiki for directions on where to go. The environment bred distrust and reinforced mutually beneficial partnerships until one party was no longer benefiting—all determined by a level 8 you had no idea about, because there are thousands of them. By the end of my third contract, it started to become clear that Ego would decide if I had a job, not my skills or natural talent. They are at a turning point supposedly, culture-wise. But through the grapevine, what I see is a mixed bag, and it all depends on who your team is or what you work on. While this is somewhat the case for any organization, this rule is especially true when you work at Amazon.

What I saw from a front-end perspective during my time there was the beginning of a total collapse, and a cycle of intense promotion is the only thing keeping the business afloat on the retail side. If I am recalling correctly, Amazon Prime days in the summer make up about 20-30 % of a vendor’s business for the fiscal year, and T-5—Thanksgiving through Cyber Monday—brings in 60 % of the total business for their retail side. They are solely dependent on two key drive times and have created their entire retail business around this model, which drives strategies for most of the year. But I found a better way of explaining it from James Gosling, a former AWS engineer, and I have heard similar accounts multiple times from people who worked on the back end.
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So, what’s my point? Amazon is failing. I think they promote a culture fraught with throwing away things after a few months. It’s classic anxiety. They panic when things don’t initially go right, try to correct course in a rushed and half-baked fashion, and get even more anxious when that doesn’t fix the issue. Every single person besides maybe a few managers had anxiety rippling through their voices. Some of this is due to the goal setting and performance management model they follow, of course, but I think there is also a more nuanced reason for the anxiety perpetuating the entire company: No one knows how a lot of the old tech works.

I have worked with many former Amazonians from the 00s and 2010s period who made Amazon into the powerhouse it is today. All that proprietary knowledge is now gone. When I was there, I ran into a lot of these types of questions, “What does this do?”, “How does this work?”, and “Where do we find this?” I think you get the point.

Another reason why there is anxiety everywhere is that the predators lurk on every corner now, and with that collaboration is dead. Yes, I think they have a culture problem that goes all the way to the top, and I don’t think they understand how much damage they have done by creating an environment that doesn’t value Collaboration. I think Amazon used good people, chewed them up and spit them out when the initial flavor was gone. And good people come in all shapes and sizes; some of us have been hardened by life or illnesses that make us numb and make us think we have to make certain choices. We are human at the end of the day, but I think they took advantage of our competitive nature, and drive, using it in ways that was very Lord-of-the-Flies-like. Instead of collaboration, it felt like you were meant to be in your silo until you’re called out to do gladiatorial battle. Fucking eh, is there something wrong with wanting to see your fellow teammates succeed? At Amazon, I guess there is. I hope people remember the VOX article from 2022 citing an internal memo on Amazon’s own internal issue with respect to churn.

“Leaked Amazon memo warns the company is running out of people to hire” (June 17, 2022). It reports internal Amazon research warning that, absent changes, the company would “deplete the available labor supply” for its U.S. warehouses by 2024. Vox

“Amazon could run out of workers in US in two years, internal memo suggests” (June 22, 2022), noting the risk of “churning through the available labor pool.”

So how do we package what’s happening at Amazon? Whatever you want to call it, at the surface level or in the deepest darkest parts, it’s a company built on taking advantage of others. Nowhere have I seen this culture more than at Amazon. Their entire environment has become a wasteland, and they are stumbling on top of each other as each person scrambles to get out before it’s too late. All the predators have burned out the ecosystem. Amazon needs AI to survive because it’s sitting in a house of cards, with everything balancing precariously inches away from the ledge.

I’m not good with endings, mostly blame my Midwest upbringing, but I’ll leave you with this final sociological observation from my time at Amazon.

They are in an overshoot-and-collapse situation, approaching a tipping point (a regime shift). When predators overexploit prey, the system can cross a critical threshold and flip into a degraded state. This is commonly described as an ecological collapse or a phase (regime) shift.

Thanks for reading,

Matthew
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Riley Rojas, one of the most prolific influencer thots posting "day in the life" shit on LinkedIn, has reportedly been laid off from Meta according to multiple reports on Blind.

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3 days ago:
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Starting 2 days ago:



Reddit post from 2 months ago:
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Ad hoc data has its place in production because the moment you start to talk to external APIs you are not in control of the schema.

Integrations with external services are a fairly common thing you want to do, and external services can give you excess data you might want to hold onto just in case you want to use it in the future, or they can break the schema without warning and you can store whatever they are sending to you now to parse into your desired schema later.
This is what postgres jsonb format is for. With proper indexing this is blazingly fast only loosely typed data. You dont need to move your entire product to a non relational db to accommodate api integration data.

If youre at the point a little side data is inefficient to do as a spare column or table this way youre at a serious scale and the correct choice is going to require some thought and consideration. Stats on big data? Parquet based lakehouse. Dealing with massive api input but not immediate reply? Listener that throws it on a queue for later processing. There is no one solution fits all once youve hit this point.

That said im fuckin done seeing assholes want full sql power in nosql or document store dbs and then wonder why they have massive problems. Youre almost certainly looking at a graph db if your relationships are too connected for a traditional rdbms.

Document store dbs are good for a few cases and i have yet to see one applied correctly outside the explicit cases they are designed for.
 
Every SINGLE person who did that day in the life bullshit should be laid off immediately
I'm genuinely surprised people are still making these.

Le$hore Young · @dayswithdak
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<3 - original sound - spzedupz
Typical day in the life living in Seattle and working in tech. Hope everyone is having an amazing day! #seattletiktok #dayinthelife #Tech #Lifestyle

Eleana Ortega · @eleanaortegaa
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Eleana Ortega - original sound - eleanaortegaa
day in the life of a full time software engineer and full time content creator ✨ #dayinthelife #softwareengineer #latinacontentcreator #technology #bostoninfluencer

@aprilotes
April · @aprilotes
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Peso Pluma & Tito Double P - LOS CUADROS
Spend a workday w me 🫶🏽 #ditl #amazon #girl
 
Riley Rojas, one of the most prolific influencer thots posting "day in the life" shit on LinkedIn, has reportedly been laid off from Meta according to multiple reports on Blind.

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Project manager just means professional nagger. A role that most women are able to excel in.

Edit: @Falcos_Commisar those are the only safe positions as the Jews want to keep their Jew Daycare positions open.
 
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Lmao the cope that Jeets are the top 20% of hires
30 Years in software development and I have never met a competent, let alone top 20% Indian.
Long before I knew about izzat I knew they were brown nosing bullshitter assholes whose entire personality changed the second they learned I was higher up than they thought
 
Yes but also no.
You do not do massive layoffs in just a single go. That will paralyze the organization.
You cut too deep and the organization just can no cope or adjust and everything falls apart.

What you do is you give low management some hope. They say cutting 30% is too deep, they can't do it. So you cut 10%. Everyone is happy. First line management think they dodged a bullet and saved a lot of people their jobs.

Then next quarter you tell them "see, I told you, you could do just fine with 10% less" and you cut another 10%.
Repeat next quarter and the one after that until you reach the goal.

For low end employees. Often with these layoffs there will be a voluntary program. If it exists, make sure you get picked in the first round of layoffs. If it doesn't, make sure you do something so you end up in the first round anyway, Offering cash bribe to your first line managet to ensure you are in round 1 if you need to.
The people doing the actual layoffs don't know you, don't care and will not read your performance reviews. You are just a line in an excel sheet. And you want to be one of the lines that are deleted.

First round will have a generous/great package. Second round an ok-ish package, third and later rounds will have the minimum that local law allows.
Make sure you are laid off in the first round.
 
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What you do is you give low management some hope. They say cutting 30% is too deep, they can't do it. So you cut 10%. Everyone is happy. First line management think they dodged a bullet and saved a lot of people their jobs.

Then next quarter you tell them "see, I told you, you could do just fine with 10% less" and you cut another 10%.
Repeat next quarter and the one after that until you reach the goal.

For low end employees. Often with these layoffs there will be a voluntary program. If it exists, make sure you get picked in the first round of layoffs. If it doesn't, make sure you do something so you end up in the first round anyway, Offering cash bribe to your first line managet to ensure you are in round 1 if you need to.
The people doing the actual layoffs don't know you, don't care and will not read your performance reviews. You are just a line in an excel sheet. And you want to be one of the lines that are deleted.

First round will have a generous/great package. Second round an ok-ish package, third and later rounds will have the minimum that local law allows.
Make sure you are laid off in the first round.
That sounded oddly specific. Tell us more...
:thinking:
 
From reddit today:
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March 18th for the next WARN date
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For low end employees. Often with these layoffs there will be a voluntary program. If it exists, make sure you get picked in the first round of layoffs. If it doesn't, make sure you do something so you end up in the first round anyway, Offering cash bribe to your first line managet to ensure you are in round 1 if you need to.
That bad, huh?
 
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