招聘
福利待遇
•Parental Leave
•Healthcare
•Learning
•Flexible Hours
必备技能
Python
React
JavaScript
About Ramp
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.
About the Role
Over the past few years at Ramp, we've reimagined how businesses manage spend, and the backbone of that vision is Procure-to-Pay. The P2P team builds the systems that connect vendors, invoices, and payments into one seamless, automated flow. It's where billions of dollars move through our platform, and every line of code matters.
We're looking for a backend engineer who loves complex systems, obsesses over correctness, and wants to shape how money moves in modern finance software. You'll help design and scale the infrastructure that powers our payment rails, ensures auditability across products, and unlocks the next wave of AI-driven automation.
It's a chance to work on systems that actually move money, with a team that cares deeply about precision, reliability, and scale. The problems are tough, the stakes are high, and the impact is massive.
What You'll Do
- Design and build core P2P systems, from invoice ingestion and approval workflows to payment orchestration and reconciliation logic.
- Enable AI agents to classify, validate, and process invoices automatically, reducing manual review and accelerating financial close.
- Own backend services that process large volumes of financial events across Bill Pay, Procurement, and Treasury.
- Collaborate cross-functionally with Product, Finance, and Data to translate accounting and compliance policies into robust, testable code.
- Extend Ramp’s financial ledger to handle new transaction types, international payments, and automated audit trails.
- Drive technical excellence around reliability, observability, and data integrity in systems where correctness directly impacts financial reporting.
- Continuously improve developer tooling and internal APIs that make P2P data accessible across Ramp’s product ecosystem.
What You Need
- 3+ years of backend engineering experience, ideally in fintech, payments, or transactional systems.
- Proven experience designing and maintaining data-intensive distributed systems with strong consistency and auditability requirements.
- Deep knowledge of Python (or a comparable backend language) and SQL.
- Comfort building event-driven systems and scaling high-volume, low-latency architectures.
- Strong system design and debugging skills; you care about correctness as much as speed.
- Ability to work closely with finance, risk, and product stakeholders to translate business rules into software logic.
- Passion for building systems that are precise, reliable, and extensible as Ramp scales globally.
Nice to Have
- Experience with accounts payable, payments, or reconciliation systems.
- Familiarity with accounting or ERP integrations (e.g. Net Suite, Quick Books, Oracle).
- Background in compliance-heavy or regulated domains.
- Exposure to AI-driven automation or interest in working with AI/ML teams to build intelligent finance workflows.
- Desire to move quickly while maintaining an uncompromising standard for data accuracy and auditability.
Benefits (for U.S.-based full-time employees)
-
100% medical, dental & vision insurance coverage for you
-
Partially covered for your dependents
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One Medical annual membership
-
401k (including employer match on contributions made while employed by Ramp)
-
Flexible PTO
-
Fertility HRA (up to $10,000 per year)
-
Parental Leave
-
Pet insurance
-
Centralized home-office equipment ordering for all employees
-
Health and Wellness stipend
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In-office perks: lunch, snacks, drinks, and more
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Budget for intra-office travel
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Relocation support to NYC or SF (as needed)
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.
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关于Ramp

Ramp
Series CThe corporate card that helps you spend less.
501-1,000
员工数
New York City
总部位置
$8.1B
企业估值
评价
4.2
15条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.5
职业发展
3.7
管理层
3.5
70%
推荐给朋友
优点
High total compensation packages
Strong equity/RSU offerings
Good career growth potential
缺点
Uncertain liquidity timeline for equity
Limited information about company culture
Unclear career advancement paths
薪资范围
216个数据点
L4
Mid/L4
L4 · Product Designer
0份报告
$190,000
年薪总额
基本工资
-
股票
-
奖金
-
$161,500
$218,500
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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