Agentic Operator, Growth Marketing

Ramp•New York, NY

About The Position

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ 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. We're looking for an AI Agent Operator and Architect to join the team that designs, builds, and operates AI agents for our Marketing team. This isn't a role where you use AI to work faster, it's a role where you build AI that does the work and recursively learns. You're equal parts product thinker and engineer. You'll take marketing workflows - content production, lead enrichment, campaign ops, etc. - and break them down into agent architectures: skills, tools, evals, memory, and orchestration layers that run 24/7 and get better on their own. This role has real autonomy and requires real conviction. Our marketing team already deeply leverages AI. Your job is to be part of the team that takes us from "AI-assisted" to "agent-operated" - where fleets of agents execute work autonomously, around the clock, and improve without someone kicking things off.

Requirements

Can mock up an MVP and then go build the thing. You scope what matters, why, and then ship it yourself. PM brain, engineer hands.
Are extremely AI-pilled. You live in the frontier. You've read the papers, run the benchmarks, broken the models. You have strong opinions on tool-use vs. code-gen agents, when to use RAG vs. fine-tuning, and how to build evals that actually matter.
Think in systems and loops and not tasks and tickets. You want to design processes where agents trigger other agents, outputs become inputs, and the whole system compounds without someone pressing "run."
Have built and shipped agents in production and not something theoretical. Real systems that ran on their own, handled edge cases, and got better over time.
Are process-oriented in a way most "AI people" aren't. You know the difference between a cool demo and a reliable agent is evals, observability, structured outputs, error handling, and constant iteration on failure modes.
Experiment fast and cheap. You validate agent architectures with quick tests before sinking time into production builds. High failure rate is fine when your feedback loops are tight.
Are fluent across the modern AI stack without being religious about any of it.
Communicate clearly, own your work completely, and don't wait to be told what to build next.

Nice To Haves

Familiarity with marketing systems like HubSpot, Segment, Amplitude, Salesforce, similar GTM platforms, or a willingness to learn.
You've built multi-agent systems with orchestration layers and inter-agent communication.
You've shipped internal tools or platforms that other teams actually adopted and relied on.

Responsibilities

Build AI agents from scratch that autonomously run marketing workflows: content generation, campaign development and launches, paid channel optimization, creative testing, and more.
Break down workflows into the pieces agents actually need: skills, tools, evals, guardrails, memory, and feedback loops. You'll care a lot about getting this decomposition right.
Build evaluation frameworks that measure agent quality, catch regressions, and drive improvement without someone babysitting the system.
Design self-improving loops. Agents should monitor their own outputs, learn from outcomes, and get sharper over time. The bar: it works at 3am on a Sunday and is better by Monday.
Own everything from identifying which workflows to automate, to prototyping, to production deployment, to monitoring and iteration. You are the PM and the engineer.
Stay plugged into the cutting edge of agentic AI, new model capabilities, tool-use patterns, multi-agent orchestration, MCP, evals frameworks, and bring what you learn into production fast.
Build reusable agent infrastructure, internal tooling, and documentation so the rest of the marketing team can operate and trust what you've built.