Software Engineer (Backend, Growth)

• 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
• The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage
• The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration
• Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product
• A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals
• This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement
• You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure
• You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end
• 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

Benefits

• Comprehensive medical, dental, and vision insurance
• One Medical Membership
• 401(k) including an employer match
• Parental leave
• Monthly wellness stipend
• Unlimited PTO
• Relocation support to move to NYC
• WFH stipend
• Pet Insurance

• The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems
• 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language
• Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability
• A track record of owning production services, APIs, data models, and distributed or event-driven workflows
• 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
• Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions
• 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