Software Engineer, Product Growth

Ramp Ramp · Fintech · New York, NY · Engineering

Software Engineer on the Core Growth team at Ramp, focusing on building and scaling the product platform that powers growth channels. The role involves automating customer success, sales, and marketing functions using AI assistance, driving business outcomes through metric-driven development, and owning the customer journey. This is a product-focused engineering role within the fintech domain, aiming to expand Ramp's serviceable market and accelerate growth.

What you'd actually do

  1. Build software to grow Ramp to its next millions of users
  2. Scale our customer success, sales, and marketing functions through automation and AI assistance
  3. Drive business outcomes through metric-driven software development
  4. Work in a dynamic engineering team with partners in product, data, and design
  5. Own the customer journey from discovering and applying to Ramp through onboarding, activating onto our product suite, and expanding usage over time

Skills

Required

  • Minimum of 3 years of experience in a software development role
  • Experience shipping fast, reliable applications using modern development tools and infrastructure
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Ability to improvise and develop creative solutions when common approaches fail. Strong value of pragmatism over idealism in times of uncertainty

Nice to have

  • Start up experience as a technical co/founder or early engineer
  • Experience with the modern data stack - including ETL tools like Fivetran, workflow orchestrators like Airflow, and data platforms like Snowflake
  • Experience with applying AI/LLMs in production use cases
  • Strong perspective on engineering development cycle (system design, documentation + testing, best practices for codebase development)
  • Understanding of the tools that power marketing/sales automation, personalization, and analytics

What the JD emphasized

  • AI assistance