Ramp is looking to solve complex data flow management, diverse data source ingestion, applying LLMs to unstructured information, and building scalable internal platforms to accelerate company growth.
Requirements
- Minimum of 3 years of experience in a software development role
- Experience shipping fast, reliable, real-time applications using modern development tools and infrastructure
- 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)
- Experience building user-facing data applications
- Understanding of the tools that power marketing/sales automation, personalization, and analytics
Responsibilities
- Build software to grow Ramp to its next millions of users
- Build data ingestion and activation pipelines between Ramp products, business systems, external systems, and third-party data
- Architect and implement internal platforms (e.g. experimentation, incentives) that power all growth channels at Ramp
- Leverage AI for unstructured data processing, data acquisition and normalization, and growth signal derivation
- Drive business goals through experiments and metric-driven software development
- Work in a dynamic engineering team with partners in product, data, and design
Other
- 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
- Perpetual curiosity and passion for honing your craft
- Start up experience as a technical co/founder or early engineer
- Relocation support to NYC or SF (as needed)
