Software Engineer, Growth Platform

Full Stack Engineer · Mid · Full Time

New York, NY (HQ)USD 168k – 275k10mo ago
Apply for this role

Opens Ramp's application page

Role

What you'll do.

Ramp is seeking a Software Engineer for their Growth Platform team to build systems and applications that power every growth channel. This role involves developing high-volume data ingestion systems, customer-facing applications, and AI-powered workflows while partnering with product, data, and design teams. The position requires 3+ years of software development experience and offers the opportunity to directly shape Ramp's growth engine for scaling to millions of users.

Responsibilities

  • Growth Platform Development: Build software that helps grow Ramp to its next millions of users through scalable systems and applications
  • Internal Platform Engineering: Build and scale internal platforms and applications including workflow orchestration, incentives, sales and marketing apps that power growth across the company
  • Data Pipeline Architecture: Design and maintain data ingestion and activation pipelines across Ramp products, internal business systems, external systems, and third-party data
  • AI/ML Integration: Apply AI/LLMs to unstructured data processing, automation, personalization, and growth signal derivation
  • Metrics-Driven Development: Drive business outcomes through experiments and metric-driven software development approaches
  • Technical Decision Making: Make thoughtful prioritization and scoping decisions around when to build custom solutions vs. leverage third-party tools
  • Cross-Functional Collaboration: Work in a fast-moving, collaborative engineering team alongside partners in product, data, and design

Qualifications

What we look for.

Technical

  • Software Development Experience

    Minimum of 3 years of experience in a software development role

  • Modern Development Tools

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

  • Data Stack Knowledge

    Familiarity with modern data stack including ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake

  • AI/ML Production Experience

    Experience applying AI/LLMs in production environments

Education

  • Computer Science Degree

    Bachelor's degree in Computer Science, Engineering, or related technical field preferred

  • Technical Bootcamp

    Completion of intensive coding bootcamp with focus on full-stack development

Experience

  • Startup Environment

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

  • Problem-Solving Skills

    Ability to improvise and develop creative solutions when standard approaches fall short with strong bias toward pragmatism

  • Continuous Learning

    Perpetual curiosity and passion for continuously improving technical craft

  • Early-Stage Experience

    Startup experience as technical co-founder or early engineer preferred

Skills

Required

  • Full-Stack Development

    Proficiency in both frontend and backend development with modern frameworks

  • Data Engineering

    Experience with data pipelines, ETL processes, and large-scale data processing

  • System Design

    Ability to design scalable systems and applications for high-volume usage

  • Problem Solving

    Strong analytical and creative problem-solving skills in technical contexts

  • Collaboration

    Excellent communication and teamwork skills for cross-functional collaboration

Preferred

  • AI/Machine Learning

    Nice to have

    Experience implementing AI/LLM solutions in production environments

  • Modern Data Stack

    Nice to have

    Familiarity with tools like Fivetran, Airflow, Snowflake for data operations

  • Growth Engineering

    Nice to have

    Experience building systems that drive user acquisition and business growth

  • Startup Experience

    Nice to have

    Background as technical co-founder or early engineer at startup companies

  • Marketing/Sales Tools

    Nice to have

    Knowledge of marketing automation, personalization, and analytics platforms

  • Development Lifecycle

    Nice to have

    Strong perspective on system design, documentation, testing, and codebase health

Tech stack

Languages

PythonJavaScriptTypeScriptSQL

Frameworks

ReactNode.jsNext.js

Databases

PostgreSQLSnowflakeRedis

Tools

AirflowFivetranDockerKubernetesGit

Other

AI/LLMsAWSTerraformGraphQL

Compensation

Pay and benefits.

Base·USD 168,000 – 275,100

Equity·Stock options

Benefits

  • Health Insurance

    100% medical, dental & vision insurance coverage for employee, partially covered for dependents, plus One Medical annual membership

  • Retirement Benefits

    401k with employer match on contributions made while employed by Ramp

  • Time Off

    Flexible PTO policy allowing unlimited vacation time

  • Fertility Support

    Fertility HRA up to $10,000 per year for family planning expenses

  • Parental Leave

    Comprehensive parental leave policy for new parents

  • AI Tools

    Unlimited AI token usage for professional development and productivity

  • Pet Insurance

    Coverage for pet medical expenses

  • Home Office Setup

    Centralized home-office equipment ordering for all employees

  • Wellness Stipend

    Health and wellness stipend for fitness and wellbeing activities

  • Office Perks

    In-office perks including lunch, snacks, drinks, and more

  • Travel Budget

    Budget for intra-office travel between company locations

  • Relocation Support

    Relocation support to NYC or SF as needed

Process

Interview steps.

  1. 01

    Application Review

    Initial screening of resume, portfolio, and application materials by recruiting team

  2. 02

    Recruiter Phone Screen

    30-minute conversation with recruiter to discuss background, interest, and role alignment

  3. 03

    Technical Phone Interview

    45-60 minute technical interview focusing on coding skills, system design, and problem-solving

  4. 04

    Take-Home Assignment

    Practical coding challenge related to growth platform engineering and data processing

  5. 05

    Virtual Technical Panel

    2-hour technical panel with senior engineers covering system design, code review, and architectural discussions

  6. 06

    Cross-Functional Interview

    45-minute interview with product and data team members to assess collaboration skills

  7. 07

    Final Interview

    30-45 minute conversation with hiring manager and senior leadership about culture fit and career goals

  8. 08

    Reference Check

    Verification of professional references and background check completion

Full posting

Original listing.

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.

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

Redirects to Ramp's application page.

Other roles

More at Ramp.

View all 26 roles