Jobs
Benefits & Perks
•Parental leave program
•Health, dental, and vision coverage
•Flexible PTO policy
•Top Tier compensation with equity
Required Skills
Python
TensorFlow
Airflow
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:
As a Staff Software Engineer on our AI DevX team, you'll architect and own the developer tooling and infrastructure that enables hundreds of engineers to build software faster with AI. You'll act as both a technical owner and a multiplier: shipping platforms that accelerate agent-driven engineering, while shaping best practices that scale across the organization.
You will be expected to take ownership of critical AI DevX systems while also influencing Ramp's broader AI strategy and engineering culture. Our ideal candidate combines deep software engineering expertise with a passion for AI, an obsession with developer productivity, strong collaborative instincts, and proven experience shipping and maintaining tools that developers rely on daily.
WHAT YOU'LL DO:
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Stay at the forefront of the AI development ecosystem. Deeply understand model capabilities, evaluate emerging tools critically, and make informed decisions about when and how to adopt new technologies
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Drive proficiency with the most effective AI coding tools and practices across the engineering organization
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Build platforms that help our devs offload more work to AI and empower AI to perform better when doing Ramp dev work
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Gather developer feedback, identify friction points, and iterate on solutions that improve developer velocity
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Grow AI vendor partnerships and serve as the advocate for Ramp’s engineers
WHAT YOU'LL NEED:
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Typically 8+ years of professional software engineering experience
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Deep backend engineering expertise spanning infrastructure, services, and data systems
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Python proficiency; Strong Bash/Unix fundamentals
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You thrive in your terminal, instinctively crafting reusable tools as you work
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Obsessed with productivity, automation, and optimization
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Prior experience working in a fast-paced startup environment
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Strong AI fluency and AI coding tool proficiency
NICE TO HAVES:
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Active power user of AI coding agents
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Proven track record shipping and maintaining developer tools
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Demonstrated experience building AI-powered systems
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Experience leading technical teams and owning technical roadmaps
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Forward-deployed engineering or public speaking/writing experience
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Background in AI/ML; Able to read and understand AI research papers
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Expertise in: Data Engineering, Frontend Engineering, Docker, Terraform
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
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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
Mid/L4
Mid/L4 · Cybersecurity Analyst
0 reports
$290,700
total / year
Base
-
Stock
-
Bonus
-
$247,095
$334,305
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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