Growth Platform Engineer - AI-Driven Growth

ramp

New York, California (NY, MO)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Flexible PTO
Home-office equipment
Health stipend
Travel budget
Weekly coffee stipend
One Medical membership

Job summary

Ramp is hiring for Growth Engineering to own foundational problems, from high-volume data ingestion to AI-powered workflows. You will partner with product, data, and design, influencing growth across marketing, sales, and finance.

This is a high-ownership role with broad technical scope and impact on Ramp's growth engine and user scale. You'll work across internal platforms, external systems, and Ramp's data stack, applying AI/LLMs to real-world use cases while shipping customer-focused

Qualifications

  • Minimum 3 years in a software development role.
  • Experience shipping reliable applications using modern tools and infrastructure.
  • Thrives in a fast-paced startup environment.
  • Ability to improvise and develop pragmatic solutions.

Responsibilities

  • Build growth-focused software for Ramp's next millions of users.
  • Scale internal platforms and apps powering growth across the company.
  • Design data ingestion and activation pipelines across Ramp products and systems.
  • Apply AI/LLMs to automation, personalization, and growth signal derivation.
  • Drive outcomes through experiments and metric-driven development.
  • Prioritize build vs. buy with a pragmatic approach.

Skills

Software dev
AI/LLMs
Data pipelines
Cross-functional

Tools

Fivetran
Airflow
Snowflake

Job description

Ramp is hiring for Growth Engineering to own foundational problems, from high-volume data ingestion to AI-powered workflows. You will partner with product, data, and design, influencing growth across marketing, sales, and finance.

This is a high-ownership role with broad technical scope and impact on Ramp's growth engine and user scale. You'll work across internal platforms, external systems, and Ramp's data stack, applying AI/LLMs to real-world use cases while shipping customer-focused

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