There is an Economist, Ramp Economics Lab vacancy at Ramp, and the role is based in New York or California. The position is full-time and hybrid, with some days on site and some from home. Ramp lists pay of $140,000 to $190,000 a year.
The description below comes from Ramp's own job posting.
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.
Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index tracks the AI economy through actual business spend data. Our research is regularly cited by the Financial Times, The Wall Street Journal, Bloomberg, The Economist, The New York Times, CNBC, Reuters, Axios, JPMorgan analyst reports, and our favorite independent substacks. You will work with Ara Kharazian , lead economist.
We’re hiring an economics-minded data scientist to own and expand this work: own Ramp AI Index, add new metrics tracking token spend and ROI of AI, extend our research internationally, and publish rigorous but accessible analysis for policymakers, researchers, businesses, the press, and the public.
You’ll also build a new customer-facing economics function from the ground up: developing Ramp’s economic outlook, meeting with customers and prospects, presenting to CFOs and finance teams, and translating our data into practical recommendations for business planning, budgeting, and AI strategy.
This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on.
Minimum of 5 years of industry experience as a Data Scientist or Economist
Strong perspectives on the economics of AI, economic policy, new media, and writing
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Active reader of the news in economics, business, and AI trends
An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data ourselves and could use some help)
At some point in the recent past, you have been described as “a breath of fresh air.” You will meet with customers and prospects and present data. It’s very important you don’t come off as dry or overly academic
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
Experience within the payments and financial technology space
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
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.
Ramp advertises $140,000 to $190,000 a year for this role.
It is hybrid. You would work partly from home and partly from the office in New York or California.
The posting mentions at least 5 years of relevant experience and skills such as SQL, dbt, Snowflake and BigQuery. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Ramp's own application form, so your CV goes directly to their hiring team.
Ramp published the role on August 31, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Ramp careers page (jobs.ashbyhq.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Ramp publishes its open roles on its own careers board. This page collects the Ramp jobs that are live right now. Each listing links to Ramp's application form, and we remove a listing once the employer closes it.
Industry: Finance & Banking
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