Hook

Their other posts in the index, biggest breakout first.
One of the hottest jobs in tech right now is the forward deployed engineer. Postings hit more than 5,000 in a single month up over 700%. You have OpenAI paying up to $500,000 in total comp for senior ones and Databricks, Adobe and Salesforce all launching FDE programs in the last year. So what actually is a forward deployed engineer? And why is everyone suddenly so desperate for them. The role was technically invented back in Palantir in 2011. On this idea that instead of keeping your best engineers at headquarters shipping product, you send them into the customer's building. And they sit with customers, they learn how messy real world workflows actually work and build integrations on site and then bring everything they learned back to the core product team. Right now, we're seeing so many job posts for this role because of AI in production. As you know, there are a lot of AI pilots that don't really show any impact. Sometimes it's not even a technology problem. It's a problem of failure of integration. A normal software engineer is able to build systems, but they rarely interface one to one with customers. And then you have consultants who are able to do the analysis and problem identification, but they often just give you a deck and tell you what to build. So FDE sits in the middle of all this with engineering, product and sales all at once. In practice, this means you basically become the client's technical team and you build directly on their data and systems. You decide what to build and integrate and the hardest part of the job isn't really the tech. It's actually the messy parts around people, mapping how an org runs, how teams will use it, getting the data that people will trust. And for what it's worth on all of this. This is partially also a rebrand as we've had solution engineers in this industry forever. FDE is just sort of a hotter title rebrand. My personal take though is that this role will keep rising as software engineers shift from writing code to steering it. And honestly, it's a pretty great training ground for founders because you have to learn how to go from zero to one, you have to stay constantly at AI's frontier, learn to win customers trust and navigate all the work politics, which is basically the full founder skill set. Especially in a world where increasingly the model becomes a commodity, then the point of differentiation is in integration and deployment. So the people who know how to sit with customers and ship are increasingly going to be some of the most valuable hires.