For engineers
Embeds with your customers and turns a model into shipped product. Here is what the role is, what it pays, and what is open now.
A forward-deployed engineer sits between your product and the people using it. They take a capable model and turn it into something a customer can rely on, working inside the customer’s problem rather than from a backlog.
The term came out of Palantir, where engineers were sent to live with the data and the users. With AI it matters more, because the gap between a demo that works once and a system a customer trusts is wide, and only closes when someone owns both ends.
In the US, total compensation for strong forward-deployed engineers usually lands around $170k to $240k, higher at frontier labs and with equity at startups. We do not post a role we would not take ourselves.
They embed with a customer, scope the real problem, and ship a working system on top of a model. They own the result, not just the code.
A solutions engineer mostly supports a sale. A forward-deployed engineer builds and ships the product inside the customer’s problem, and stays on the hook for whether it works.
In the US, total compensation for strong AI-native forward-deployed engineers usually lands between $170k and $240k, plus equity at startups.