Ramp
Open positions (9)
Machine Learning Engineer
Ramp
Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.
$200k - $330k
Applied Scientist Intern
Ramp
Ramp is seeking an Applied Scientist Intern to join their team and contribute to solving critical business problems through machine learning. As an intern, you will be a fully integrated member, owning a project from inception to completion. You will collaborate with engineers, product managers, and business stakeholders to translate complex business needs into scalable, ML-driven solutions. This role offers the opportunity to apply ML in a practical setting, ship code, and create tangible value for Ramp and its customers, focusing on areas like credit, fraud, growth, or the core product.
AI Solutions Engineer
Ramp
Ramp is seeking a highly motivated AI Solutions Engineer to be one of the first technical sellers for its new AI business. This role is responsible for translating complex AI products into closed revenue, selling a portfolio of AI-powered applications, agents, and infrastructure. You will guide customers through evaluation and purchase, demonstrating clear business value and managing opportunities from discovery to close. This is a quota-carrying, product-focused technical sales role that requires comfort in both technical and executive conversations, moving between discussions on model routing and APIs to ROI and operational impact. As an early member of the AI business team, you will significantly influence product positioning, sales strategy, and the customer experience, helping to build the foundational playbook for the broader team.
$217k - $298k
Software Engineer, Forward Deployed AI Solutions
Ramp
As a software engineer on the AI Solutions team, you will co-lead customer engagements, taking ownership of technical discovery, solution design, prototyping, implementation, and production readiness. This is a client-facing role where you will work directly with customers and end users to move projects from initial discovery through implementation, launch, and ongoing production usage. You will translate customer goals into system requirements, design solution architectures, and ensure deployed workflows are reliable and adopted by customer teams.
$189k - $330k
Software Engineer, Developer API
Ramp
Ramp is building the smart infrastructure for finance teams, automating how businesses spend money. We are seeking a Software Engineer for our Developer API team, which builds the programmatic surfaces that allow developers and AI agents to interact with Ramp's financial infrastructure. This role is ideal for someone who thinks agent-first, has strong opinions on developer experience, and wants to define how software interacts with financial systems at scale. You will be instrumental in making it easy for engineers to ship new capabilities across all Ramp surfaces.
$168k - $330k
Applied AI Engineer, Fullstack
Ramp
Ramp is seeking an Applied AI Engineer with a full-stack focus to join their Financial Intelligence team. This role is frontend-leaning, emphasizing interaction design and data-dense user experiences, but also requires comfort with API design. You will own customer-facing AI experiences, from the React UI to the underlying APIs and data contracts. The position involves building high-quality interfaces for agentic analysis, FP&A, and book-close workflows, managing complex client-side state, and partnering on backend design to ensure the full stack serves the product effectively. You will utilize the latest coding models and agentic workflows as a core part of your daily work.
$204k - $352k
Software Engineer, Backend, Growth
Ramp
Ramp is seeking a product-minded backend engineer to join their Growth team, focusing on building the AI-native infrastructure for finance teams. This role will be instrumental in developing systems that automate and enhance customer-facing experiences for Go-to-Market and Product Growth teams. You will work on marketing-led products, including AI-powered systems for campaign asset creation, workflow automation, and personalized customer experiences across various channels. A key focus will be on building Ramp's incentives platform, ensuring safe targeting, authorization, distribution, and measurement of incentives, while combining marketer-friendly workflows with robust financial controls and closed-loop measurement. This position offers the opportunity to work at the intersection of product engineering, AI, data, marketing, and financial infrastructure, translating ambiguous workflows into durable systems.
$200k - $310k
Software Engineer, Engineering Platform
Ramp
Ramp is building the smart infrastructure for finance teams, automating how businesses manage spend. We are looking for individuals with high agency and urgency who are passionate about building systems that directly shape how companies move and manage billions. The Engineering Platform team is crucial in enabling over 300 Ramp engineers to move faster and more effectively. This role involves working across the full software development lifecycle, including local development, CI/CD, testing, service frameworks, reliability, architecture, performance, and maintenance. A key aspect of this role is the integration of agentic development, building systems that allow engineers and AI agents to collaborate efficiently within large codebases.
$247k - $340k
Applied AI Engineer
Ramp
The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction, internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you.
$204k - $352k