R
Ramp

Software Engineer, Credit

New York, NY (HQ)OnsiteFull Time$189k–330k
StrategyOperationsEngineeringAI & DataSales
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At a glance
LocationNew York, NY (HQ)
Work styleOnsite
ContractFull Time
Compensation$189k–330k
SeniorityNot specified
DeadlineNot stated
The opportunity

About the role

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ 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.

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Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting remains available in Source & verification at the end.

Your work

What you'll do

  • Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio.
  • Envision and build the next generation of agents and tools that automate manual credit decisions and increase operational efficiency.
  • Develop high-volume, low-latency risk controls to support Ramp’s expansion into new products, customer segments, and geographies.
  • Design and build real-time decisioning systems spanning the entirety of a business's credit lifecycle on Ramp.
  • Partner closely with analysts, data scientists, and product to translate risk strategies into reliable software.
Conditions

Benefits & working conditions

  • Flexible PTO
  • Centralized home-office equipment ordering
  • Health and wellness stipend
  • Budget for intra-office travel
  • Weekly coffee stipend
The organization

About Ramp

Verified company intelligence · refreshed 1 hour ago

Aptiora has not added a narrative company profile without evidence. What follows is derived from the live opportunities currently observed for this organization.

140live roles currently tracked
7observed locations
3work modes observed
AITechnologyHealthFinanceEducationSustainabilityPublic ImpactEnergy
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