Software Engineer, Backend, Growth

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 $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp.

What You’ll Do

• Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration.
• Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking.
• Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context.
• Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution.
• Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes.
• Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration.

What You Need

• 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language.
• A track record of owning production services, APIs, data models, and distributed or event-driven workflows.
• Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability.
• Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions.
• Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required.
• Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes.

Nice to Haves

• Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems.
• Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure.
• Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology.
• Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery.
• Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure.
• Experience building experimentation or attribution systems that connect interventions to customer and business outcomes.

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.