产品运营 | AI收入系统
Product Operations | AI Revenue Systems
Ramp正在构建财务团队的智能基础设施，嵌入到企业每笔支出的交易流程中。我们自动化处理超过2000亿美元的年支出在70,000多家公司中的流动：授权付款、标记风险、分类支出和结账。
这些问题具有高风险、数据密集且不容错误。
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构建的东西，而不是你在哪里学习的。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的中位数客户在第一年节省了5%的成本，并实现了16%的收入增长——远超没有使用Ramp的企业。我们认为每家有抱负的公司都值得拥有同样的工具。
如果你希望构建直接塑造公司如何移动和管理数十亿资金的系统，Ramp就是你的选择。
关于职位
大多数公司都有比他们能可靠执行更多的GTM想法。启动新的销售策略仍然需要手动定位、数周的培训、销售人员协调和混乱的衡量。经验只存在于人们的脑海中。当某件事有效或失效时，手册无法快速更新。
Ramp正在构建GTM运行的AI平台——一个从零开始的应用层，其中代理处理执行，手册编码机构知识，每次互动都会形成一个学习循环，使系统在每个周期中变得更智能。我们正处于代理在真实企业环境中能做什么的前沿，而这些问题尚未解决：可信赖的大规模后台执行、赢得信任的人机协作，以及将原始GTM信号转化为复合组织优势的反馈循环。
作为收入产品经理，你将负责使GTM平台正常运作的数据和执行层：将正确的客户分配给正确人员的评分和路由系统，推动整个组织智能的数据基础设施和获取，以及针对SDR、解决方案和渠道团队的代理。这是其他所有功能依赖的基础。因为你的用户就在隔壁，反馈是即时的，迭代周期很短。在这里，你会更快地培养出更敏锐的产品直觉——这种直觉只能通过发布产品、看到效果并不断重复才能获得。该职位与工程、数据科学、设计、财务和销售领导紧密合作
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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.
ABOUT THE ROLE
Most companies have more GTM ideas than they can reliably execute. Launching a new motion still requires manual targeting, weeks of enablement, seller coordination, and messy measurement. Learnings live in people's heads. When something works — or stops working — the playbook doesn't change fast enough.
Ramp is building the AI platform that GTM runs on — a ground-up application layer where agents handle execution, playbooks encode institutional knowledge, and every interaction feeds a learning loop that makes the system smarter each cycle. We're operating at the frontier of what agents can do in a real enterprise context, and the problems are unsolved: reliable background execution at scale, human-agent collaboration that earns trust, and feedback loops that turn raw GTM signal into a compounding organizational advantage.
As a PM for Revenue, you'll own the data and execution layer that makes the GTM platform work: the scoring and routing systems that get the right accounts to the right people, the data infrastructure and acquisitions that power intelligence across the org, and the agents for SDRs, Solutions, and channel teams. This is the foundation that everything else depends on. Because your users are down the hall, feedback is immediate and iteration cycles are short. You'll build sharper product instincts faster here than in most roles — the kind that only come from shipping, seeing what lands, and doing it again. This role partners closely with Engineering, Data Science, Design, Finance, and Sales leadership.
WHAT YOU’LL DO
- Build for GTM Teams. Own the agentic tooling and workflows for the GTM teams that are less served today — SDR prospecting and outreach, Solutions discovery and POV workflows, and channel partner execution. These motions are high-context and high-value, and largely greenfield.
Own the GTM data platform. Define the data contracts, schemas, and pipelines that make GTM intelligence possible. Own account scoring, routing, and assignment — the systems that determine which accounts get attention, from whom, and when. Drive net new data acquisitions that expand what our agents can reason over. Ensure the data feeding our AI tools is accurate and trustworthy enough to act on.
Serve every GTM motion, not just one. Resist the pull toward optimizing for a single team. Understand the distinct workflows and incentives across the GTM org and build systems flexible enough to serve all of them — while still being opinionated about what good looks like.
Instrument, iterate, and close the loop. Define what good looks like. Build eval frameworks, feedback systems, and dashboards that tell you whether the tools are driving real adoption and impact — and use that signal to make reps active participants in improving the system over time.
WHAT YOU’LL NEED
- 1–3 years of product experience, or 3 - 5 years of total experience in a role that built real judgment — banking, consulting, deployment strategy, agent product, GTM operator, or founder. The path matters less than what you built and what you learned.
- Deep hands-on experience building with AI: you've prototyped, shipped, and iterated on AI tools or agents — not just managed roadmaps about them. Technical fluency with modern AI coding harnesses (Cursor, Claude Code, Codex).
- Working knowledge of core LLM concepts (prompting, embeddings, retrieval, evals) and the judgment to translate these into reliable products where hallucinations have real consequences.
- Comfortable in SQL and confident reading data. You can pull your own analysis, spot what the numbers aren't telling you, and make decisions without waiting for a data team.
- Curious systems thinker who learns fast and defaults to building. You connect dots across AI, data, and GTM quickly, pick up new domains without needing to be an expert first, and don't wait for perfect requirements to ship.
- Comfort with 0-to-1 ambiguity. There is no established playbook here. You define the problems, prioritize ruthlessly, and build the foundation others will build on.
- Scrappy, opinionated, and low-ego. You take the work seriously and yourself less so. You fit in on a team that moves fast, debates hard, and genuinely enjoys building together.
NICE-TO-HAVES
- Broad GTM fluency and operational empathy for the field — you understand how GTM functions operate, what they need from tooling and data, and how to build products that earn trust in a skeptical org.
- Strong working knowledge of GTM data and systems: CRM data models, sales engagement tooling, pipeline data, and intent signals.
- Prior work in fintech, enterprise SaaS, or other domains where data quality is load-bearing.
- Proven ability to manage senior stakeholders — you can earn trust with VP- and SVP-level leaders, align them on tradeoffs, and keep work moving without escalating everything.
- Curiosity about externalizing internal AI work — turning what we build for our own GTM org into a product or market signal.
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