Ramp
Performance Marketing Manager
- Jenis pekerjaan
- Penuh waktu
- Cara kerja
- Hibrida
- Lokasi
- New York, NY (HQ)
- Dipublikasikan
- 15 Sep 2026
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
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 $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.