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The role involves designing and building real-time risk decisioning systems for financial products, assessing fraud and credit risk while ensuring system correctness and scalability.

As a backend engineer on the Spend Management team at Ramp, you will design and build scalable backend systems for card transactions, approvals, and policy enforcement, while collaborating with cross-functional teams and improving transaction infrastructure.

Design and ship end-to-end customer-facing AI experiences, focusing on data-dense, BI-quality frontends (React/TypeScript) while owning APIs and backend design. Build interactive, real-time, agent-driven workflows, manage complex client-side state, and collaborate across the stack to deliver polished production-grade financial analytics and book-close tools.

The Associate in Strategic Finance will build and manage financial models, lead analyses, drive budgeting cycles, and communicate insights to stakeholders, enhancing accountability and strategic decision-making.

Build and run the Brand team's operating system: design processes, milestones, and tooling to produce creative at scale; remove cross-functional bottlenecks; protect creatives from organizational complexity; automate workflows (including AI) to speed delivery; partner with creative leads and scope incoming work across the company.

Own and optimize credit risk strategy (limits, payment speed, collections) using SQL/Python, AI tools, data analysis, prototyping tools/apps, and cross-functional execution with Product, Engineering, Data Science, and Operations.

Lead vision, strategy, and roadmap for Ramp's international payments products. Build cross-border payments, FX, partner integrations, and compliance/risk infrastructure. Launch new markets, collaborate with engineering, design, legal, and compliance, and apply AI/LLM prototyping to accelerate product development and scale global money movement capabilities.

Manage a book of ~60-70 Enterprise customers (500+ employees) to ensure retention, expansion, renewals, and adoption. Drive customer outcomes, run QBRs and touchpoints, coordinate cross-functional teams, surface product feedback, and use data to communicate value. Travel occasionally for on-sites and events.

Develop and maintain Ramp's Analytics and Machine Learning platforms, collaborating with teams to build scalable data solutions and tools for data scientists.

Manage onboarding for new Ramp customers, ensuring they benefit from the platform quickly and effectively through strategic implementation and project management.