远程工作雷达

软件工程师,后端,增长

Software Engineer, Backend, Growth

开发工程市场运营未标注地域
公司Ramp
薪资$200,000 - $310,000
工作地点New York, NY (HQ)
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间2026-05-13
数据来源Ashby
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Ramp 正在构建金融团队的智能基础设施,嵌入企业每一笔支出的交易流程中。我们自动化了超过 2000 亿美元的年度支出在 7 万多家公司中的流动:授权付款、标记风险、分类支出并完成账务结算。

这些问题具有高风险、数据密集且不容出错。

我们招聘具有高度自主性和紧迫感的人才。我们更看重的是你所创造的成果而非你曾在哪里学习。在 Ramp,每个人都是从头到尾负责问题的建造者,并做出影响结果的重要决策。

Ramp 的平均客户在第一年节省了 5% 的开支并实现了 16% 的收入增长——远超没有使用 Ramp 的企业。我们认为每一家有抱负的公司都应享有同样的机会。

如果你希望构建直接塑造企业如何移动和管理数十亿美元的系统,Ramp 就是你的选择。

Ramp 正在打造一个原生 AI 平台,改变 Go-to-Market 和产品增长团队创建、发布和优化客户体验的方式。我们正在寻找一位以产品为导向的后端工程师,帮助构建支撑 Ramp 现代增长和营销的基础设施和服务。

这个团队的下一阶段是构建以营销为主导的产品:智能工具将策略转化为执行,自动化复杂的工作流程,并帮助团队在各个渠道中获得显著的杠杆效应。

该团队将在创意制作、生命周期营销、付费媒体、基于账户的营销、实验、激励措施和跨渠道协调等多个领域进行建设。例如包括 AI 驱动的系统,用于生成符合品牌规范的活动素材,自动化复杂的营销工作流程,协调受众和执行,并在邮件、销售外联、外部渠道和 Ramp 的产品中提供个性化体验。

这一使命的核心是 Ramp 的激励平台。我们正在构建共享基础设施,以安全地针对、授权、分发、兑换和衡量跨渠道和媒介的激励措施——包括与产品采用和增长目标相关的应用内体验。这需要将面向营销人员的工作流程与受控政策、预算控制、可靠的财务运营和闭环测量相结合。

你将在这个产品工程、AI、数据、营销和金融基础设施的交汇点工作。理想的候选人是一位以产品为导向的后端工程师,能够将模糊的需求转化为清晰的解决方案。

查看英文原文

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 $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

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. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. 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.

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.

BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)

- Flexible PTO

- Centralized home-office equipment ordering

- Health and wellness stipend

- Budget for intra-office travel

- Weekly coffee stipend

UNITED STATES

- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

- One Medical annual membership

- 401(k), including employer match on contributions made while employed by Ramp

- Fertility HRA (up to $10,000 per year)

- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

- Pet insurance

- In-office perks: lunch, snacks, drinks, and more

- Relocation expense coverage to NYC or SF (if needed)

CANADA

- Group medical, dental, and vision coverage through Sun Life

- Life, AD&D, and disability coverage

- Fertility drug coverage (up to $4,000 lifetime)

- Group Retirement Plan with employer match (RRSP + DPSP)

- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

- Employee Assistance Program and virtual care through Lumino Health

UNITED KINGDOM

- Private medical insurance through Freedom Elite

- Virtual GP and at-home care via eMed x Livi

- Workplace pension through Penfold, with salary sacrifice option

- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

REFERRAL INSTRUCTIONS

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

OTHER NOTICES

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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