---
title: 'Product Operations | AI Revenue Systems at Ramp'
canonical: 'https://feeny.ai/job/product-operations-ai-revenue-systems-ramp-new-york-20bxxk3eh0sm'
type: 'job'
last_seen: '2026-09-17'
---

# Product Operations | AI Revenue Systems at Ramp

- **Company:** [Ramp](https://feeny.ai/companies/ramp)
- **Location:** New York, NY
- **Compensation:** $128k–$180k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-17
- **Apply:** https://jobs.ashbyhq.com/ramp/4e9886c1-134b-4cc7-9bcf-eb56bd0ca71f

## Job description

## 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)

## About Ramp

## Company Overview
- **One-liner**: Ramp is an all-in-one AI finance platform that combines corporate cards, expense management, bill payments, vendor management, and accounting automation to help businesses save time and money.
- **Entity Type**: Private (Series-stage not explicitly disclosed in sources; highly funded with notable investors)
- **Headquarters**: New York, NY, USA
- **Founded**: 2019
- **Founders**: Eric Glyman and Karim (last name not provided in sources)

## Core Business
- **Primary industry**: Financial technology (Fintech) – spend management and corporate cards
- **Target customers**: B2B – serves over 70,000 companies ranging from family farms and pizza shops to e‑commerce giants and space startups (Shopify, etc.)
- **Mission statement**: “Setting finance free to build healthier businesses.” (from [about page](https://next.ramp.com/about-us))

## Products & Services
- **Ramp Corporate Cards** – Physical and virtual cards with spend controls, real‑time tracking, and 30+ currency support.
- **Expense Management** – Automated receipt matching, approval workflows, and policy enforcement.
- **Bill Payments** – Automated bill pay, vendor management, and payment scheduling.
- **Accounting Automation** – Sync with 200+ integrations (QuickBooks, Xero, NetSuite) to close books faster.
- **Ramp Banking** – Business checking and savings accounts (via partnerships).
- **Ramp AI Agents** – 24/7 intelligent agents that automate financial tasks, negotiate bills, and detect savings opportunities.

(All products listed on [ramp.com](https://ramp.com/) and [about page](https://next.ramp.com/about-us))

## Market Standing
- **Valuation**: Not publicly disclosed. Ramp raised additional funding in June 2025 (per CNBC) but the amount was not specified in provided sources.
- **Key Metric**: Total funding not stated; however, Ramp enables over **$35B in purchases annually** and claims to have saved customers **$12B+** (from [about page](https://next.ramp.com/about-us)).
- **Notable Investors/Partners**: Sequoia, Greylock, Khosla Ventures, Founders Fund, Stripe, Goldman Sachs, Coatue, Redpoint, plus 100+ angel investors (from [Glassdoor](https://www.glassdoor.com/Overview/Working-at-Ramp-EI_IE4211228.11,15.htm)).
- **Growth Signals**:
  - Growing “10x faster than the median publicly traded SaaS company” ([careers page](https://ramp.com/careers))
  - Named #1 Most Innovative Company in North America by Fast Company (2024/2025)
  - Listed on CNBC Disruptor 50, Forbes Cloud 100, TIME’s 100 Most Influential Companies
  - Headcount: 1,001–5,000 employees (Glassdoor); currently 103 open roles in the US plus London ([jobs.ashbyhq.com](https://jobs.ashbyhq.com/ramp))

## Competitive Advantages
- **All‑in‑one platform**: Cards, expenses, bills, accounting, and banking in a single system – reducing tool sprawl.
- **AI‑powered automation**: Built‑in AI agents that work 24/7 to find savings, automate approvals, and reconcile transactions.
- **Speed of delivery**: “A simple solution that ships is better than a perfect one stuck on the cutting floor” – culture of rapid iteration.
- **Customer obsession**: “We win when customers win” – every product decision is customer‑driven.
- **Integrations**: 200+ native integrations with existing business tools (Slack, QuickBooks, NetSuite, etc.).

## Strategic Focus
- **AI agent expansion**: Ramp is investing heavily in autonomous AI agents that handle end‑to‑end finance tasks (CEO Eric Glyman in CNBC June 2025).
- **Global spend management**: Supporting 30+ currencies, international reimbursements, and expanding international operations.
- **Platform depth**: Moving beyond spend management into banking and embedded financial services.
- **Rapid scaling**: Continuing to hire “builders” across engineering, sales, marketing, product, and data.

## Why Work Here
- **Culture**: “Proud meritocracy” where titles are secondary; marketers code, PMs rewrite copy, devs build their own agents. Emphasizes ownership, speed, and “caring a lot.”
- **Perks & benefits** (from [careers page](https://ramp.com/careers)):
  - Competitive salary + equity
  - Medical, dental, and vision insurance; One Medical Membership
  - 401(k) with employer match
  - Flexible PTO, parental leave
  - Monthly wellness stipend, WFH stipend, transit benefits
  - Relocation support to NYC
  - Pet insurance
  - Pizza Fridays, daily dinner
- **Work environment**: Hybrid – some roles are hybrid (e.g., London role listed as hybrid). Based in NYC with a “team‑first” office culture (dinner every night, pizza Fridays).
- **Glassdoor rating**: 4.1/5 (176 reviews), 75% would recommend, 97% approve of CEO Eric Glyman (from [Glassdoor](https://www.glassdoor.com/Overview/Working-at-Ramp-EI_IE4211228.11,15.htm)).
- **Engineering culture**: Heavy emphasis on building internal tools and agents; engineers work on “hard problems” with autonomy; “If you have talent and drive we will back you like the Medici family backed Michelangelo.”

## Sources
1. [Ramp Careers Page](https://ramp.com/careers)
2. [Ramp Homepage](https://ramp.com/)
3. [Ramp About Us](https://next.ramp.com/about-us)
4. [Ramp Jobs on Ashby](https://jobs.ashbyhq.com/ramp)
5. [Ramp Glassdoor Profile](https://www.glassdoor.com/Overview/Working-at-Ramp-EI_IE4211228.11,15.htm)

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