Ramp is redesigning how businesses manage spend, and the backbone of that vision is clean, auditable, real-time accounting infrastructure. The Accounting Engineering team is building the systems that ensure every transaction and automation maps back to accurate financial statements. This role will help Ramp save customers time and money and support its transformation into the AI-powered finance platform of the future.
Requirements
- 3+ years of backend engineering experience, ideally in fintech, accounting tech, or transactional systems
- Experience designing and maintaining distributed systems with high data integrity requirements
- Strong understanding of system design, reliability engineering, and service observability
- Fluent in Python or a comparable modern backend language
- Background in compliance-heavy systems or regulated domains
- Familiarity with financial integrations (e.g. NetSuite, QuickBooks, Oracle)
- Interest in working with AI/ML teams on intelligent accounting features
Responsibilities
- Own backend services that power Ramp’s accounting platform, syncs, and rules engine.
- Build scalable, low-latency systems that process millions of transactions across card, bill pay, reimbursements, treasury, and more
- Extend our ledger infrastructure to support richer event tracing and automated reconciliation
- Lay the technical foundation for AI agents to suggest and enforce accounting categorizations
- Improve internal developer tooling and interfaces to make financial data more accessible and actionable
- Uphold the highest standards around correctness, observability, and auditability
Other
- Comfort working closely with accounting teams and product stakeholders to translate business needs into clean code
- Passion for building infrastructure that balances precision, performance, and extensibility
- A desire to move fast but hold the line on accuracy, especially when real dollars are involved
- Relocation support to NYC or SF (as needed)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
