A founder once told me he’d budgeted $140K for a VP Sales hire in New York, because that’s what he paid his best salesperson in Tel Aviv, converted to dollars. He wasn’t in the market. He wasn’t close.

This happens constantly, and it’s not really a math problem. In Israel, comp conversations often carry a personal, almost intuitive quality, a sense of what feels fair, calibrated against what you already know. In the U.S., the market runs on structured, comparable data: level, stage, geography, function, each one moves the number in a specific, checkable direction. A founder who prices a role off instinct, even good instinct, from a different market, is negotiating from a number nobody on the other side of the table recognizes.

The cost isn’t abstract. A number that’s too low doesn’t just fail to close the hire, it sends a message: we don’t quite understand this market, or we don’t quite value this role. A strong candidate reads that immediately, and doesn’t usually say so, they just go quiet and take the other offer. A number that’s too high wastes budget on a role that didn’t need it, and sets an internal benchmark the next hire in the same function gets measured against.

The founders who get this right treat compensation the way they’d treat any other competitive research: not a feeling, a set of real inputs. What does this function actually cost at this company stage, in this city, at this seniority level. What’s the real range, not a single guessed number pulled from one LinkedIn comment or one candidate’s ask.

I built a free tool for exactly this, a U.S. Salary Benchmark Tool that pulls real market ranges by role, level, stage, and region, calibrated for Israeli-founded companies hiring their first U.S. team. It’s not a replacement for judgment. It’s the input judgment should actually be based on.

But the tool is the easy part. The harder shift is the one underneath it: treating U.S. compensation as a real, researchable market with its own rules, not a converted version of the market you already know.