Performance Marketing Manager, Ramp

• 3+ years in a performance / quantitative marketing, growth, or comparable decision-science role, where you’ve owned numbers and shaped meaningful outcomes
• Strong analytical judgment. You can define success metrics, diagnose and isolate performance issues, and make decisions with imperfect information
• You enjoy designing experiments and translating results into a clear call on what to fund, scale, or kill
• You've built AI workflows, automations, or agents to improve marketing execution and you have good judgment about where AI accelerates the work and where human review is necessary
• You move projects from ambiguity to a clear outcome with limited direction and you're detail-oriented in campaign setup, tracking, and measurement

Desirable

• Ramp is looking for a Performance Marketing Manager to own paid acquisition on YouTube, ChatGPT, X, Rideshare, and Reddit, and to find new incremental channels. You'll take early experiments and turn them into measurable programs and build the operating model that makes successful channels part of Ramp's evergreen performance marketing mix
• This is a high-autonomy role. You will evaluate channel opportunities, design tests, launch campaigns, and analyze full-funnel performance. You'll work with Growth, Creative, Data, Finance, and other cross-functional partners to move quickly while maintaining a high bar for measurement & efficiency
• You’ll use AI as a practical part of the job: building systems that speed up research, campaign creation, performance analysis, and day-to-day channel operations
• Own performance on YouTube, ChatGPT, X, Rideshare, and Reddit. Understand how conversion events, value signals, and lookalike audiences work at a technical level and use that to make channels more efficient over time
• Identify, evaluate, and prioritize new performance marketing channels and acquisition opportunities
• Build the path from experiment to evergreen program: prove incremental SQLs and pipeline impact, hit LTV-to-CAC efficiency targets, and document a repeatable operating playbook
• Own channels as they mature. Decide when a program stays with you and when it transitions to a dedicated owner so you can keep finding new ones
• Analyze performance across the full funnel. Turn incomplete or noisy data into a clear call on what to scale, improve, pause, or stop
• Partner with data and engineering to improve tracking, attribution, and reporting, and with Creative on messaging, format, and ad concepts across surfaces, audiences, and channels
• Build AI agents, workflows, and tools that help the team test more ideas and operationalize channels faster