Jobs
Benefits & Perks
•Flexible PTO policy
•Annual team offsites
•Parental leave program
•Top Tier compensation with equity
•Health, dental, and vision coverage
Required Skills
Apache Spark
Airflow
Python
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 https://www.fastcompany.com/91038883/ramp-most-innovative-companies-2024 list and LinkedIn’s Top U.S. Startups https://www.linkedin.com/pulse/linkedin-top-startups-2024-50-us-companies-rise-linkedin-news-hxote/?trackingId=uBI29YlAOxikbTI7cdvG4g%3D%3D for more than 3 years, as well as the Forbes Cloud 100 https://www.forbes.com/sites/richardnieva/2024/08/06/ramp-cloud-100/, CNBC Disruptor 50 https://www.cnbc.com/2024/05/14/ramp-cnbc-disruptor-50.html, and TIME Magazine’s 100 Most Influential Companies https://time.com/collection/time100-companies-2023/6285147/ramp/.
ABOUT THE ROLE:
The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you.
WHAT YOU’LL DO:
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Ship full-stack AI projects end to end
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Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning
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Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp
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Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams
WHAT YOU NEED:
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Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure
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A track record of working on full-stack AI projects, particularly those involving production use cases of LLMs
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Experience building backend systems and infrastructure that can support AI-driven products
BENEFITS (FOR U.S.-BASED FULL-TIME EMPLOYEES)
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100% medical, dental & vision insurance coverage for you
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Partially covered for your dependents
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One Medical annual membership
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401k (including employer match on contributions made while employed by Ramp)
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Flexible PTO
-
Fertility HRA (up to $10,000 per year)
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Parental Leave
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Pet insurance
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Centralized home-office equipment ordering for all employees
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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.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
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About Ramp

Ramp
Series CThe corporate card that helps you spend less.
501-1,000
Employees
New York City
Headquarters
$8.1B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.5
Career
3.7
Management
3.5
70%
Recommend to a Friend
Pros
High total compensation packages
Strong equity/RSU offerings
Good career growth potential
Cons
Uncertain liquidity timeline for equity
Limited information about company culture
Unclear career advancement paths
Salary Ranges
348 data points
L4
Mid/L4
L4 · Data Scientist
0 reports
$160,800
total / year
Base
-
Stock
-
Bonus
-
$136,680
$184,920
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Interview
5
Onsite/Virtual Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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