137 matches
Staff Software Engineer, Data Platform
4 days agoAirwallex🇺🇸Seattle, WA
$200k–260kHybridFull-timeDatabricks - Spark
Senior Backend Engineer, Agentic AI
4 days agoAirwallex🇺🇸San Francisco, CA
$150k–245kHybridFull-timePython - FastAPI
Data scientist on Ramp's data team building models that consume, transform, and expose data to stakeholders and production systems. Works with GTM Finance and StratFin teams and with data engineering on data capture and transformation. Requires 3+ years in data science, software engineering, or finance and strong SQL (Redshift, Snowflake, BigQuery).
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Compensation: $137,120 - $297,330
