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Ramp
New York City, NY, USA
Source: Ramp careers · View original posting
From Ramp's posting. “We” and “our” refer to the employer.
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
You'll be the architect of our endpoint security posture across the full fleet — macOS, Windows, and BYOD mobile devices. You'll build secure-by-default controls with Terraform and GitOps, harden endpoints at scale, and automate the full device lifecycle so nothing depends on a human remembering to click the right button. You'll partner with IT, SecOps, and engineering teams to sharpen our telemetry and detections, mentor other engineers, and raise the bar on what "low-friction security" actually means.
Everything you ship will be auditable, measurable, and built for the long run.
We're also thinking seriously about how corporate security evolves in an agentic world — where AI agents act on behalf of employees and traditional identity and endpoint assumptions break down. You'll help us shape that answer.
Nice-to-Haves
Have shipped real work with open source endpoint and device management tooling
Have built automated, progressive rollout systems based on fleet telemetry.
Have managed a mixed fleet — macOS, Windows, and mobile — with real depth on at least one platform
Have put AI to work on real operational problems, not just prototyped
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