This position may no longer be available
Posted . It may have been filled, expired, or closed.
This position may no longer be available
Posted . It may have been filled, expired, or closed.
Type
FULL TIME
Work Style
Remote
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
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!
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
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
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
If you are being referred for the role, please contact that person to apply on your behalf.
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.
Prepare for your Software Engineer, Growth Platform interview at Ramp.