Software Engineer (Onboarding)

• The Onboarding team owns the product flows and platform that powers all new customer account creation at Ramp. This includes Ramp’s application decisioning system that interfaces with our fraud, compliance, and credit underwriting models
• As an engineer here, you’ll own workstreams that expand Ramp’s total serviceable market and improve the end-to-end customer onboarding experience
• You’ll partner with product, data, and design, and work directly with stakeholders across sales, marketing, risk strategy, operations, and finance to accelerate Ramp’s growth. This role offers the opportunity to have an outsized impact on Ramp’s overall growth trajectory
• Build software to grow Ramp to its next millions of users
• Scale the output of our application decisioning ops team through automation and AI assistance
• Drive business outcomes through metric-driven software development
• Own the customer journey from discovering and applying to Ramp through getting approved for and onboarding to the product

Benefits

• Comprehensive medical, dental, and vision insurance
• One Medical Membership
• 401(k) including an employer match
• Monthly wellness stipend
• Parental leave
• Unlimited PTO
• Pet Insurance
• WFH stipend
• Relocation support to move to NYC

Preferred experience

• Perpetual curiosity and passion for honing your craft
• Ability to improvise and develop creative solutions when common approaches fail. Strong value of pragmatism over idealism in times of uncertainty
• Experience shipping fast, reliable applications using modern development tools and infrastructure
• Minimum of 2 years of experience in a software development role
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
• Experience with Python (Flask), SQL, and modern observability tooling
• Experience with applying AI/LLMs in production use cases
• Fintech or payments experience (credit underwriting, risk, compliance)
• Exposure to AI- or rule-based automation systems