Ramp에서 AI 운영 전문가로서 내부 AI 에이전트와 워크플로우를 구축하여 전사적 생산성을 극대화할 인재를 찾습니다. 제품 운영 및 AI 실무 경험이 필수이며, 기술적 도구를 활용해 복잡한 운영 문제를 해결하는 역할을 수행합니다. AI 네이티브 문화를 확산시키고, 데이터 기반의 의사결정을 통해 사내외 AI 시스템의 성능을 고도화하는 것이 핵심입니다. 실무 중심의 문제 해결 능력과 높은 주도성을 가진 분을 환영합니다.
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.
As an AI Product Operator, you will help accelerate Ramp's goal of becoming the most productive company in the world through AI. You will boost not just AI usage across our business, but an AI-first mindset—so that every team develops a muscle for leveraging new AI capabilities instinctually, and is enabled to act on those instincts. This role sits at the intersection of internal transformation and external impact. The AI systems and workflows you build internally are increasingly becoming part of Ramp's external story—influencing how we talk to customers, how our AI agents engage with them in-product, and how we utilize our own operational learnings to save more time and money for customers. You'll work across disciplines as part vibe coder, part data expert, part product manager, and part business ops maven—co-developing the cutting edge of AI building technology for the Ramp team and using it to drive massive change at high velocity.
Ensure Ramp teams are set up to deploy AI tools and workflows at the fastest rate in the industry through enablement and development of internal AI products, agents, skills and tools.
Ensure non-engineering teams are set up to leverage our internal AI stack (Ramp Inspect, Ramp Glass / Claude Code, Ramp Skills, Notion, etc) through focused enablement, product improvements, and building individual success stories
Measure impact of internal products via (AI-built!) dashboards, QA checks, and iteratively improve them based on user feedback.
Seed an AI-native culture, coaching internal "AI champions" and embedding templates and practices into team norms.
Build feedback loops that make internal AI agent performance compound over time - making internal teams faster and higher quality at their work, and evolving external-facing systems that sharpen how Ramp engages with customers through AI.
Tackle foundational AI infrastructure challenges with our technical teams: AI data reliability, managing shared AI skills at scale, and solving the hard operational and technical problems underneath a truly AI-powered company.
Help package and tell Ramp's internal AI journey externally—through customer pitches, conferences, and content—as we find ways to deliver the benefits of what we've built to our customers.
2–5 years in product management, product ops, BizOps, strategy, technical program management, revenue operations, or similar.
Deep and demonstrated experience using AI to build, ship, and transform work in prior teams or projects.
Technical fluency with low-code/no-code and development copilot tools (Notion, Codex, Cursor, Claude Code, CoWork), SQL and BI tools, APIs, scripting, or integrations.
Operational empathy: able to partner with business teams to deeply understand challenges and deliver rapid solutions.
Strong communicator: you can write crisp docs (with AI!) and run persuasive, engaging internal training sessions that have lasting impact.
Comfort being steeped in customer and usage data—you make decisions based on what's actually happening, not just what teams report.
Self-starter with high ownership, comfortable with autonomy and ambiguity.
Familiarity with departmental workflows in operating teams—Sales, CX, Finance, Risk, HR, etc.
Prior experience in internal enablement or change management programs.
Curiosity about external applications of internal AI work: customer-facing AI agents, AI spend management, or commercializing operational learnings.
You prefer strategy briefings over hands-on delivery.
You lean toward AI research or building models rather than applied AI work.
You'd rather manage people than dive deep into building solutions and discovering new ways to drive edge through technology.
You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level.
Don't check every box? We'd still love to hear from you. Many exceptional candidates don't meet every requirement on paper — and some of the best hires far exceed them.
Here's a look at some of what's already in motion — and what you'd be stepping into:
Get Ramp AI Pilled - Our AI strategy for internal teams over the last year, from our CPO, Geoff Charles
Ramp Glass — our internal AI productivity suite, giving every Ramp employee a fully configured AI workspace on day one, wired into every tool they use via SSO with no setup friction
Ramp Research — a home-grown Snowflake research tool fully integrated into Glass, giving anyone at the company the ability to query and synthesize data without needing an engineer
Ramp Inspect — our home-built coding agent that has enabled 50% of all human-initiated PRs on the production codebase, shipping thousands of changes per month without writing a line of code from scratch
Ramp CLI — our newly released command line tool, now natively connected into Glass alongside our other internal products on day one
Dojo — a marketplace of shared AI skills, where employees package their best workflows into reusable building blocks that the whole company can leverage
Sensei — an AI guide built into Glass that surfaces the right skills to the right people based on their role and activity, solving the discoverability problem at scale
Ramp's AI Operating System — a talk from our Head of Operations and Internal AI on how we've kept things simple, coherent, and fast while scaling to 50,000+ customers
Flexible PTO
Unlimited AI token usage
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
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 support to NYC or SF (as needed)
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
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
If you are being referred for the role, please contact that person to apply on your behalf.
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 email addresses and will never ask for payment or sensitive personal information during the hiring process.
