Ramp

Software Engineer, Growth Platform

Ramp5 months ago
Location

New York, NY (HQ)

Type

Full Time

Salary

USD 168,000 – 275,100

Level

Mid

Role

Full Stack Engineer

Posted

Sep 29, 2025

Full TimeMid

The role

Summary

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.

What you'll do

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

What we look for

Technical

Software Development ExperienceMinimum of 3 years of experience in a software development role
Modern Development ToolsExperience shipping fast, reliable applications using modern development tools and infrastructure
Data Stack KnowledgeFamiliarity with modern data stack including ETL tools like Fivetran, workflow orchestrators like Airflow, data platforms like Snowflake
AI/ML Production ExperienceExperience applying AI/LLMs in production environments

Education

Computer Science DegreeBachelor's degree in Computer Science, Engineering, or related technical field preferred
Technical BootcampCompletion of intensive coding bootcamp with focus on full-stack development

Experience

Startup EnvironmentComfort operating in a fast-paced, constantly evolving startup environment
Problem-Solving SkillsAbility to improvise and develop creative solutions when standard approaches fall short with strong bias toward pragmatism
Continuous LearningPerpetual curiosity and passion for continuously improving technical craft
Early-Stage ExperienceStartup experience as technical co-founder or early engineer preferred

Skills

Required skills

Full-Stack DevelopmentProficiency in both frontend and backend development with modern frameworks
Data EngineeringExperience with data pipelines, ETL processes, and large-scale data processing
System DesignAbility to design scalable systems and applications for high-volume usage
Problem SolvingStrong analytical and creative problem-solving skills in technical contexts
CollaborationExcellent communication and teamwork skills for cross-functional collaboration

Nice to have

AI/Machine LearningExperience implementing AI/LLM solutions in production environments
Modern Data StackFamiliarity with tools like Fivetran, Airflow, Snowflake for data operations
Growth EngineeringExperience building systems that drive user acquisition and business growth
Startup ExperienceBackground as technical co-founder or early engineer at startup companies
Marketing/Sales ToolsKnowledge of marketing automation, personalization, and analytics platforms
Development LifecycleStrong perspective on system design, documentation, testing, and codebase health

Compensation & benefits

Salary

USD 168,000 – 275,100 (annual)

Stock options

Available

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

Interview process

  1. 1
    Application Review — Initial screening of resume, portfolio, and application materials by recruiting team
  2. 2
    Recruiter Phone Screen — 30-minute conversation with recruiter to discuss background, interest, and role alignment
  3. 3
    Technical Phone Interview — 45-60 minute technical interview focusing on coding skills, system design, and problem-solving
  4. 4
    Take-Home Assignment — Practical coding challenge related to growth platform engineering and data processing
  5. 5
    Virtual Technical Panel — 2-hour technical panel with senior engineers covering system design, code review, and architectural discussions
  6. 6
    Cross-Functional Interview — 45-minute interview with product and data team members to assess collaboration skills
  7. 7
    Final Interview — 30-45 minute conversation with hiring manager and senior leadership about culture fit and career goals
  8. 8
    Reference Check — Verification of professional references and background check completion
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Ramp

Ramp

View all jobs

Make expense management easy with Ramp's spend management platform. Combine global corporate cards, travel, expenses and accounts payable to automate finance operations and improve efficiency.

New York City, New York, United StatesFounded 2019ramp.com

Tech Stack

Languages
PythonJavaScriptTypeScriptSQL
Frameworks
ReactNode.jsNext.js
Databases
PostgreSQLSnowflakeRedis
Tools
AirflowFivetranDockerKubernetesGit
Other
AI/LLMsAWSTerraformGraphQL
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