Senior Revenue Operations Manager

About Us: Spreedly is the world's leading Open Payments Platform. Founded in 2007 and headquartered in Durham, NC, the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway, processor, or fraud tool through a single API. The platform is vendor-agnostic by design, meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.   The core business problem Spreedly solves is real and costly: global merchants face a fragmented payments ecosystem, where every new market, payment method, or fraud tool typically requires a separate, time-consuming integration. Spreedly eliminates that complexity, enabling companies to route transactions intelligently, secure cardholder data, prevent fraud, and expand into new markets without heavy engineering overhead. About the Role:   We're hiring a Senior Revenue Operations Manager to own operations across the full customer lifecycle: the funnel, systems, numbers, deals, and post-sale motion. You'll report directly to the Senior Director of Revenue Operations as the senior individual contributor on a small team, setting the standard for how the work gets done. Be clear-eyed about one thing: this is a hands-on role. There's a real backlog, and for the first stretch you'll be in the work — building the reports, running the deal desk, fixing the data — while automating it as you go. The leverage compounds, but it doesn't start on day one. The substance of the job is core revenue operations: sales operations, GTM strategy and planning, deal desk, forecasting, incentive compensation, data management, and analytics. It also extends beyond the close: you'll be the operational partner to Account Management, Implementation, Customer Success, and Customer Support, which means renewals and amendments, onboarding milestones, health and adoption signals, and the handoffs between those teams all fall within your scope. Payments makes it more complex than most: our revenue moves with our customers' transaction volume, so getting the numbers right means understanding how the business actually works. What's different is the leverage. We're building a RevOps function where AI carries more of the repeatable work, and this role sits at the center of that. You should already be using AI in your day-to-day work and be able to show us what you've built with it — not a certification, but real examples. You don't need to be an ML engineer, and we'll invest in deepening those skills. What we can't teach on the job is the operational foundation underneath it: knowing what a defensible forecast looks like, where a funnel definition breaks down, what a comp plan can't get wrong. That judgment is what makes automation trustworthy, and it's why this role needs both. If you have the RevOps fundamentals and you're already building with AI, we'd like to talk.   This role is open to candidates based in Latin America (excluding Brazil)