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Software Engineer, Growth Platform

Ramp

Software Engineer, Growth Platform

Ramp

New York, NY (HQ)

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and bonus

Flexible PTO

Remote options

Development budget

Required Skills

Google Analytics

HubSpot

Salesforce

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

Growth engineering builds the systems and applications that power every growth channel at Ramp. As an engineer on this team, you’ll own foundational problems ranging from high volume data ingestion and interfaces to customer-facing applications and AI-powered workflows. You’ll partner closely with product, data, and design, and work directly with stakeholders across growth, sales, and finance. This role offers high ownership, broad technical scope, and the opportunity to directly shape Ramp’s growth engine and scale Ramp to its next millions of users.

Check out our Engineering Blog to learn more about our tech stack, mission, and values!

What You’ll Do

  • Build software that helps grow Ramp to its next millions of users

  • Build and scale internal platforms and applications (e.g. workflow orchestration, incentives, sales and marketing apps) that power growth across the company

  • Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data

  • Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation

  • Drive business outcomes through experiments and metric-driven software development

  • Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools

  • Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design

What You Need

  • Minimum of 3 years of experience in a software development role

  • Experience shipping fast, reliable applications using modern development tools and infrastructure

  • Comfort operating in a fast-paced, constantly evolving startup environment

  • Ability to improvise and develop creative solutions when standard approaches fall short; strong bias toward pragmatism in the face of uncertainty

  • Perpetual curiosity and a passion for continuously improving your craft

Nice**-to-Haves**

  • Startup experience as a technical co-founder or early engineer

  • Experience with the modern data stack (e.g. ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake)

  • Experience applying AI/LLMs in production environments

  • Strong perspective on the engineering development lifecycle (system design, documentation, testing, and long-term codebase health)

  • Experience building user-facing data or internal business applications

  • Familiarity with tools that power marketing and sales automation, personalization, and analytics

Benefits (for U.S.-based full-time employees)

  • 100% medical, dental & vision insurance coverage for you

  • Partially covered for your dependents

  • 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

  • Unlimited AI token usage

  • Pet insurance

  • Centralized home-office equipment ordering for all employees

  • Health and Wellness stipend

  • In-office perks: lunch, snacks, drinks, and more

  • Budget for intra-office travel

  • 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

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About Ramp

Ramp

Ramp

Series C

The 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

Junior/L3

Junior/L3 · Market Research Analyst

2 reports

$89,545

total / year

Base

$73,601

Stock

-

Bonus

-

$77,525

$91,757

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