Similar to how OpenAI like to use the term "Member of Technical Staff" for Engineers, they like to use "Member of GTM Staff" for their sales team.
I am a sales recruiter, and I was curious what their actual GTM organization looked like. So I manually scraped through all 607 profiles on LinkedIn, ultimately finding 390 US based salespeople.
A few things that surprised me:
• 43% of the team are quota carrying AEs (much higher than the partnerships-first narrative most assume of AI labs)
• They're not hiring a lot of people from traditional B2B SaaS companies - Hubspot, Workday, ServiceNow, Oracle and SAP aren't even in their top 30 companies that they're hiring from. They're going for AWS, Google and Salesforce in a big way.
• They bought a CRO over in December and she's bought 4 additional leaders with her since then.
Methodology: two-pass vision pipeline on screenshotted profiles, function-classified into nine GTM buckets.
Limitations: Using LinkedIn data, so biased toward people who maintain active profiles (not usually a huge issue for sales but...).
Full report (free, no signup wall): yournextventure.co/open-ai-gtm-report
I don’t mind it. I drive a v8 Mercedes and love the sound etc... but at the same time, I’ve moved to NYC so the odds that I even keep a car aren’t particularly high.
I would be really interested in understanding the breakdown in F150's as sold by model number.
For a lot of truck owners, there's going to be some resistance because they love having a v8 engine etc. I don't see those people moving over quickly (although they might be swayed by the acceleration/speed). But if you're using one as a tradesperson, this seems like an absolute no-brainer. You're not driving enormous distances regularly and if you're able to run your entire job site for free, as well as have lower servicing costs... why wouldn't you?
The company valuation of BMW and VW isn’t the problem- it’s a problem for Tesla. There aren’t enough nerds in the world to justify it’s insane stock price.
This is also predicated on the idea that every part of Tesla's operations are substantially better than existing automakers.
Do people really believe that Tesla is literally run 10x better than Toyota, Volkswagen, Daimler, BMW or Honda? I don't think so.
Then there's the nightmare of trying to appeal to two wildly different consumer groups.
At the low end: does Tesla have a meaningful reliability advantage versus Honda and Toyota? From what I have seen, it appears not. This matters less when you're dealing with premium buyers, but will not work with the mass market. Fans will put up with hassle (I own an AMG... I'm more than aware of the extra expense I am constantly paying for - and that's a trade-off I'm happy to make in return for a powerful v8).
Secondly from a clout point of view: why would anyone buy a Tesla over a comparatively priced Audi, Porsche, Mercedes or BMW. The people who talk about their Model 3 with a burning passion aren't trading in a 911, or an E Class or a Q7. They're excited to upgrade from a 2015 Camry. Massive expectation gap.
Plus, all of these companies are valued far more realistically. Tesla being worth more than every other automaker or whatever gives them very little room to breathe. If Tesla is ever valued as the hardware manufacturer with relatively low margins (when compared to say a tech stock like Facebook or Salesforce).. is the day that we will see an enormous valuation haircut.
The problem with buying cashflow through ETF investment is you have to make so much money to get to any real level of cashflow.
Buying $30k of index funds will set you back ~$50k pre tax, which is 25% of our doctors income. If you subscribe to the 4% rule, you've "bought" a perpetual cashflow of $1200 annually.
To get a passive income of $200k annually, you need $5m in index funds which is going to take either ~30 years with compounding interest at 10% (assuming you are investing a continuous $30k after tax) every year.
Realistically, to make any sort of actual money (I'm defining this as $200k + annually in passive/semi-passive income), you need an ownership stake in a business or in another asset (likely property).
The vending machine example is stupid for a doctor to do, because it's the sort of opportunity that rewards someone with a lot of hustle and low opportunity cost - good luck competing with an entrepreneurial college student who has a lot more free time. Same thing with the website.
Phoning for anything is my favorite thing. Absolutely I want to talk to customer service. No I don’t want this automated (especially when I’m trying to get myself a slightly better deal). And I hate phone trees with a passion, just get me the operator now.
I’m saying those programmers should have secretaries to help them with all of the admin etc. They shouldn’t be booking their own flights, or making dinner reservations, or running expenses (or a lot of other manual work)
We've replaced secretaries with software, and now we have people making $150k+ a year busy working on things that they should be paying someone $40k a year to handle.
Yeah that's 100% the truth. You also have to assume that multiple things happen at the same time - what happens if you buy a house two weeks before you get laid off at work and that's swiftly followed by your wife finding out that she's pregnant. Suddenly having 6 months worth of cash in the bank gives you a TON of breathing room.
The more we specialize, the more life becomes fragile, and the smaller the gains become. A Formula One car is incredibly fast, but the amount of attention and money each car requires is orders of magnitude higher than say a Ferrari road car, which is comparatively simple to manage.
I mean it's "smart" and "efficient" but it's also fragile. The simplest way to manage your finances is to avoid debt wherever possible (especially consumer debt). Very hard to go into bankruptcy when you don't owe anyone anything!
The "smartest" way to manage your finances is to use credit cards that give you points and pay you back via a few hundred dollars worth of free flights a year. But there's a bunch of opportunity costs associated with pursuing that route, and a level of diligence that frankly most people do not have.
The best thing about debt is that it lets you move really really quickly - if you don't have $2k for that furniture set, you can just finance things and pay it off over 2 years. But that's the worst thing about debt as well - you now have a monthly obligation that's going to be a line item expense for the next 24 months. If you'd spent 12 months saving up for that furniture set and paid cash, the day you buy the goods is the day your financial obligations start and end.
I am not opposed to debt entirely, and think it can be a great strategic lever (I used a credit card to finance my initial move to America which has done wonders for my income and my career, far exceeding the interest costs that I paid). However I think for most consumer purposes it's less of a help and more of a hindrance. Take the new 84 month car loans. That's 7 years! That's a long time to assume that your life will have no material changes, or that nothing will go wrong.
I am a sales recruiter, and I was curious what their actual GTM organization looked like. So I manually scraped through all 607 profiles on LinkedIn, ultimately finding 390 US based salespeople.
A few things that surprised me:
• 43% of the team are quota carrying AEs (much higher than the partnerships-first narrative most assume of AI labs)
• They're not hiring a lot of people from traditional B2B SaaS companies - Hubspot, Workday, ServiceNow, Oracle and SAP aren't even in their top 30 companies that they're hiring from. They're going for AWS, Google and Salesforce in a big way.
• They bought a CRO over in December and she's bought 4 additional leaders with her since then.
Methodology: two-pass vision pipeline on screenshotted profiles, function-classified into nine GTM buckets. Limitations: Using LinkedIn data, so biased toward people who maintain active profiles (not usually a huge issue for sales but...).
Full report (free, no signup wall): yournextventure.co/open-ai-gtm-report