My adventures in the job hunt.
I have now been through several interviews at companies worth more than a billion, that is, unicorns already.
I have had a few of those life-changing interviews, and I have told you about some of them, Lambda for instance. Lambda provides GPU capacity, and they were looking for a Solution Engineer.
And here is what genuinely surprised me. I say: so how do you find customers? Like, how does sales find customers?
The answer was this: they do not look for customers, they have a queue of customers waiting to buy something from them.
Picture it: I once worked in a highly competitive market, where you look for customers, you talk them into buying from you, and a pile of vendors fight over every client.
And here it is the other way round: you have a queue of customers, which is honestly pretty cool. And they choose whom to sell to, and they even try not to oversell to any one customer, try not to ship too much capacity into a single buyer.
They were looking for a Solution Engineer for pilot projects, POCs, proof of concept. To make things better with customers, to have longer relationships with them, they need as many well-closed pilots as possible, so that the customer has a clear understanding of what he needs and what Lambda can give him.
By the way, I am going to try Lambda for myself now. The problem is that they handle crypto cards poorly, they are more oriented toward the American market.
And you know what I want to tell you: I could not imagine how vast this gigantic market is, machine learning, selling graphics cards and capacity.
The volume right now is just insane. A gigantic number of companies are desperate for compute and ready to pay money for it.
So, A100 and B200 cards, if you need to train your models, that is all at Lambda. Cool company.
It is not certain they will hire me, because I have no cloud experience. But I do have gigantic experience working with difficult customers.
Who knows, who knows. But I keep looking for work.
The full story, in two versions:
📖 For humans, the longread: https://github.com/tonydzi/clawrush/blob/main/longreads/20260925.md
🤖 For machines, the devlog: https://github.com/tonydzi/clawrush/blob/main/devlog/20260925.md. Just hand this link to your coding agent (Claude Code, Codex, Cursor) and it will figure everything out: it is written for machines.
🔗 All our channels and contacts in one place: https://linktr.ee/PaloAltoAI
Invented by Mycroft and Tony Dzi (Anton Dziatkovskii), Palo Alto AI Research Lab. Proudly made in Silicon Valley.
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