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At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it.
Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year.
Ramp’s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, 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.
Ramp Economics Lab is a think tank by Ramp. We use aggregated, anonymized data from more than 50,000 businesses on Ramp’s platform to produce public-facing research and analysis about AI, business spend, and the economy. This role will report to Ramp’s economist, Ara Kharazian.
Our work is used by CEOs and CFOs of Fortune 500 companies, frequently cited in the media and analyst reports, and followed by policymakers and the public by offering a data-driven perspective on business activity in the United States.
In this role, you will use a combination of Ramp data, government data, and third-party datasets to build forecasts of common economic indicators, like inflation, unemployment, total retail sales, and manufacturing activity.
You’ll apply common econometric methods (regression analysis, time-series models, nowcasting) to produce research-quality analysis and forecasts fit for publication.
Currently enrolled in a Master’s degree or PhD program in Economics or Public Policy.
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries.
Daily readership of business news, including traditional media (Wall Street Journal, Financial Times) and new media (blogs and substack newsletters).
Succinct writing.
Previous experience using public and private data to build a forecasting model.
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support to NYC or SF (as needed)
Pet insurance
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.
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