Asks for

The ad says“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”
The ad says“Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure”
The ad says“A track record of owning production services, APIs, data models, and distributed or event-driven workflows”
The ad says“Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability”
The ad says“Experience building experimentation or attribution systems that connect interventions to customer and business outcomes”
The ad says“Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology”
The ad says“Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure”
The ad says“Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability”
The ad says“A track record of owning production services, APIs, data models, and distributed or event-driven workflows”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“A track record of owning production services, APIs, data models, and distributed or event-driven workflows”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure”
The ad says“Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems”
The ad says“Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability”
The ad says“Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure”
The ad says“Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions”
The ad says“5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language”
The ad says“Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability”
The ad says“Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability”

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
Monthly wellness stipend
Parental leave
Unlimited PTO
Pet Insurance
WFH stipend
Relocation support to move to NYC

Preferred experience

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