经济学家，Ramp经济实验室
Economist, Ramp Economics Lab
Ramp 正在构建金融团队的智能基础设施，嵌入企业每一笔支出的交易流程中。我们自动化处理超过 2000 亿美元的年支出，在 70,000 多家企业中流动：授权支付、标记风险、分类支出并完成账务结算。
这些问题高风险、数据密集且不容错误。
我们招聘具有高度自主性和紧迫感的人才。我们更看重你所具备的潜力而非过往经历。在 Ramp，每个人都是从头到尾负责问题的建造者，并做出影响结果的重要决策。
Ramp 的平均客户在第一年节省了 5% 的开支，并实现了 16% 的收入增长——远超没有使用 Ramp 的企业。我们相信每家有抱负的企业都应享有同样的优势。
如果你希望构建直接影响企业如何移动和管理数十亿美元的系统，Ramp 就是你的选择。
关于该职位
Ramp 经济学实验室是了解企业如何支出和采用人工智能的首选资源。基于 Ramp 超过 2000 亿美元的业务支出数据集，我们的旗舰产品 Ramp AI 指数 https://ramp.com/data/ai-index 通过实际的业务支出数据追踪人工智能经济。我们的研究经常被《金融时报》、《华尔街日报》、彭博社、《经济学人》、《纽约时报》、CNBC、路透社、Axios、摩根大通分析师报告以及我们最喜欢的独立 Substack 帖子引用。你将与首席经济学家 Ara Kharazian 合作。
我们正在招聘一位具有经济学思维的数据科学家来主导并扩展这项工作：主导 Ramp AI 指数，增加新的指标来追踪代币支出和人工智能投资回报率，将我们的研究拓展至国际范围，并为政策制定者、研究人员、企业、媒体和公众发布严谨但易于理解的分析。
你还将从零开始建立一个新的面向客户的经济学功能：开发 Ramp 的经济展望，与客户和潜在客户会面，向首席财务官和财务团队进行展示，并将我们的数据转化为对企业规划、预算和人工智能战略的实用建议。
该职位结合了经济判断力、应用数据科学、公共写作、数据可视化和高管沟通能力。你应该能够从一个重要问题出发，得出可信的分析、清晰的视觉呈现或论点，并提供企业领导者可以采取行动的建议。
你需要具备：
- 至少 5 年作为数据科学家或经济学家的行业经验
- 对人工智能经济学有深入见解
查看英文原文
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 $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.
ABOUT THE ROLE
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 https://ramp.com/data/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.
WHAT YOU NEED
- 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 http://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
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Experience within the payments and financial technology space
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 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)
CANADA
- 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
UNITED KINGDOM
- 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
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 http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice