Performance Marketing Manager

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

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.

WHAT YOU'LL DO

• 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.

WHAT YOU NEED

• 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.

NICE-TO-HAVES

• B2B experience.

• Experience bringing an experimental channel into a scaled program.

• Familiarity with attribution, incrementality testing, randomized controlled tests (RCTs), MMM, and marketing measurement.

BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)

• Flexible PTO

• Centralized home-office equipment

Responsibilities

• Own performance on YouTube, ChatGPT, X, Rideshare, and Reddit by understanding conversion events, value signals, and lookalike audiences at a technical level.
• Identify, evaluate, and prioritize new performance marketing channels and acquisition opportunities.
• Build the path from experiment to evergreen program by proving incremental SQLs and pipeline impact, hitting LTV-to-CAC efficiency targets, and documenting a repeatable operating playbook.
• Own channels as they mature, deciding when a program stays with you or transitions to a dedicated owner to find new ones.
• Analyze performance across the full funnel to turn incomplete or noisy data into clear calls 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.
• Build AI agents, workflows, and tools that help the team test more ideas and operationalize channels faster.

Requirements

• 3+ years in a performance / quantitative marketing, growth, or comparable decision-science role owning numbers and shaping meaningful outcomes.
• Strong analytical judgment to define success metrics, diagnose and isolate performance issues, and make decisions with imperfect information.
• Enjoy designing experiments and translating results into a clear call on what to fund, scale, or kill.
• Built AI workflows, automations, or agents to improve marketing execution with good judgment about where AI accelerates work versus human review.
• Move projects from ambiguity to clear outcomes with limited direction and remain detail-oriented in campaign setup, tracking, and measurement.

Preferred Qualifications

• B2B experience.
• Experience bringing an experimental channel into a scaled program.
• Familiarity with attribution, incrementality testing, randomized controlled tests (RCTs), MMM, and marketing measurement.

• Flexible PTO
• Centralized home-office equipment