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Design, build, and maintain components of Ramp's Analytics and Machine Learning platforms, creating tools that streamline data science, AI, and risk engineering workflows.
Strong Python skills, experience with workflow orchestrators (Airflow, Dagster, or Prefect), cloud infrastructure (AWS, GCP, or Azure), and SQL/warehouse technologies like Snowflake, Redshift, or BigQuery.
The platform powers Ramp’s ability to extract business value from massive, high‑stakes data, enabling faster model development and reliable, cost‑efficient ML applications that drive customer savings and revenue growth.
Engineers who thrive on end‑to‑end ownership, enjoy building scalable data infrastructure, and have a solid grasp of analytics/ML pipelines and cloud services.
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.
About the Role
The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.
What You’ll Do
What You Need
Nice to Haves
Benefits available to all full-time Ramp employees (Global)
United States
Canada
United Kingdom
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
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.
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