Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ 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 RoleWe’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
What You’ll DoFull stack development, building models to consume, transform, and expose data to stakeholders and production systems
Drive a culture of experimental design, testing agenda, and best practices
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
Minimum of 4 years of industry experience as a Data Scientist
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 products and features at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Experience within the payments and financial technology space
Familiarity with B2B enterprise sales cycle metrics and processes
Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
• Flexible PTO
• Unlimited AI token usage
• 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 support to NYC or SF (as 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 InstructionsIf 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 Applicant Privacy Notice
Skills Required
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL and efficient query writing
- Familiarity with BI tools and experience with data insights distribution
- Track record of shipping high quality products at scale
- Ability to thrive in a fast-paced start-up environment
Ramp Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ramp and has not been reviewed or approved by Ramp.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is positioned as competitive or top-of-market in core technical roles, with strong base pay and total compensation ranges cited for engineers and product roles. Compensation is also framed as including meaningful equity alongside salary, making offers feel compelling versus many startup benchmarks.
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Healthcare Strength — Healthcare Strength: Healthcare coverage is described as comprehensive, often including medical, dental, and vision, with additional primary-care access via a One Medical membership. The package is portrayed as above-average on employer coverage for employees, increasing perceived value of the benefits bundle.
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Retirement Support — Retirement Support: A 401(k) with an employer match is consistently included as a core benefit. Immediate or meaningful matching is presented as a concrete financial benefit that goes beyond a basic plan offering.
Ramp Insights
What We Do
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022. Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, 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 was named Fast Company’s most innovative finance company in 2022.
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