Eric Glyman on why Ramp chose New York, hiring for slope over intercept, and teaching money to think

Summary

Eric Glyman, co-founder and CEO of Ramp, makes the case that New York was never a compromise — it was a competitive advantage.

When Ramp finished Y Combinator, several YC partners thought moving back east was a mistake. Glyman disagreed, and his co-founder Kareem was already gone. The tactical argument proved out quickly: New York in the early Ramp years had only a handful of fast-growing venture-backed startups at the seed and Series A stage, so Ramp could recruit well above its weight class. Meanwhile, large engineering employers — AWS, Stripe, MongoDB, Datadog — were expanding their New York offices, seeding a deeper technical talent pool. Glyman draws a cultural distinction too: San Francisco celebrates the earnest hacker; New York celebrates the earnest builder. The Valley of 2015–2020, in his telling, had become mercenary — average employee tenure around 12 months, engineers cycling through four companies in four years to assemble a personal options portfolio. That isn't a generational run, and Ramp was explicitly trying to build one.

Slope over intercept

Ramp's hiring philosophy is deliberately weighted toward trajectory over experience. The average employee age is in the 20s. Glyman's framework is simple: some experienced hires have plateaued — they've "seen this movie before" — while a 19- or 20-year-old with high raw ability and a steep learning curve can, within a year, outperform candidates who would have cost far more to recruit with a Ramp logo already on their CV. Ramp gives these people more responsibility than they'd get elsewhere, waits, and ends up with a team more talented than the company could have afforded to hire the conventional way. The standard investor advice — find someone who's been a VP before — underestimates how much that approach discounts raw talent.

Teaching money to think

Ramp's current campaign tagline, "teaching money to think," is the AI-era evolution of its original positioning: "time is money, save both." Glyman frames the underlying value prop as deliberately timeless, borrowing the Bezos framing of asking what won't change in ten years rather than what will. His answer: companies will always want to spend fewer dollars and fewer hours. AI, in Ramp's product logic, is the mechanism that enforces spend policy before money leaves, tags and categorizes it when it does, and then redirects more dollars to productive uses the following month. "Thinking money" is shorthand for applying intelligence to that outcome — leaner companies — rather than a stand-alone AI feature. The positioning is meant to avoid the trap of competing on raw AI capability, which Glyman compares to a video model that is state-of-the-art for four weeks and then isn't.

On valuation, the conversation references Ramp surpassing a $22 billion market cap milestone, overtaking what had been cited as the value of a paper receipt incumbent — a benchmark the hosts had tracked since they began working with the company.