Senior Applied Scientist role at Ramp focusing on credit risk. The role involves designing, building, and optimizing machine learning models for credit decisioning and portfolio management. It requires full lifecycle ownership from data exploration to production deployment and monitoring, with a strong emphasis on applying ML, statistics, causal inference, and optimization to solve business problems. Collaboration with cross-functional teams and driving data-driven insights are key.

Ramp is seeking a Senior Tech and Product Communications Lead to own the narrative for AI-native builders and finance leaders. The role involves translating complex technical work (AI infrastructure, engineering velocity, product innovation) into understandable stories, building and running a launch engine, developing AI tools, and managing media and analyst relations. The ideal candidate has experience in tech and product comms at a high-growth or AI-native company, is fluent in AI, and moves fast. This is a builder role focused on shaping how Ramp's technical ambitions and AI-powered financial infrastructure are perceived.

Product Manager at Ramp, a fintech company, responsible for shaping the vision, strategy, and roadmap for AI-native products. The role involves leading engineering and design teams, driving end-to-end product execution, and staying current with AI research and industry trends to build user-facing products.

Backend Engineer role focused on building internal tooling and infrastructure for operations teams at Ramp, a fintech company. The role involves designing and developing full-stack applications, backend services, and integrations, with a specific emphasis on leveraging AI tooling to automate workflows, enhance productivity, and improve decision-making within these internal systems. The position requires strong software engineering experience, backend architecture knowledge, and demonstrated aptitude with AI technologies, particularly LLMs, to solve business problems.

Software Engineer, Core Product at Ramp, focusing on backend systems for spend controls, approval workflows, and card transactions. Integrates with Ramp's AI platform for automation and anomaly detection, handling billions in transactions. Requires strong backend experience and product sense.