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.
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 Finance teams (e.g. GTM Finance, StratFin) to develop financial insights and influence business decisions
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 3 years of industry experience in Data Science / Software Engineering / Finance
Strong AI proficiency as a lever to quickly adopt new skills and subject matter
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
Familiarity with financial metrics and processes (e.g. contribution profit, financial statements, monthly close) and / or B2B enterprise sales cycle metrics and processes
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
Strong intuition on business strategy and customer empathy (ROI, growth channels, sales cycles, customer incentives)
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Experience partnering with finance teams or 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 Applicant Privacy Notice
Skills Required
- Minimum of 3 years industry experience in Data Science, Software Engineering, or Finance
- Strong AI proficiency
- Track record of shipping high-quality products and features at scale
- Ability to thrive in a fast-paced, iterative startup environment
- Familiarity with financial metrics and processes (contribution profit, financial statements, monthly close) and/or B2B enterprise sales cycle metrics
- Strong knowledge of SQL and ability to write efficient queries (preferably Redshift, Snowflake, BigQuery)
- Experience with modern data stack (Fivetran, Snowflake, dbt, Looker, Hightouch)
- Familiarity with BI tools (Looker, Omni, Sigma, Hex) and distributing insights via dashboards/reports
- Experience partnering with finance teams or in payments/financial technology
- Strong analytics engineering perspective (data modeling, version control, documentation, testing)
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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