Ramp is a financial operations platform designed to save companies time and money. Our allinone solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with builtin intelligence to maximize the impact of every dollar and hour spent. More than 40,000 businesses, from familyowned farms to ecommerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastestgrowing corporate card and bill payment platform in America, and enables over $80 billion in purchases each year.
Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
Ramp has been named to Fast Company’s Most Innovative Companies list and LinkedIn’s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.
Build and integrate the components of Ramps Analytics Platform and Machine Learning Platform.
Collaborate with stakeholder teams on building and productionizing machine learning applications.
Build reliable, scalable, maintainable, and costefficient systems across the stack.
Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
Intuition around analytics and machine learning, and empathy for data science workflows.
Previous experience building online machine learning systems.
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
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