Revenue Operations Manager Sales

🇺🇸 New York, New York
$1K - $1K Annual
Posted 1 day ago
Expires July 11, 2026

🚀 We’re on a mission to make real estate transactions smarter, faster, and friction-free.

🏢 Real estate is the world’s largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence.

🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision.

💰 We’ve just raised a $60m Series B to accelerate our UK/US expansion.

🤝 We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster.

💡 Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.

ROLE OVERVIEW

You'll be one of two Revenue Operations Managers scaling our GTM engine. You'll own the shared core (HubSpot, reporting, stack, process) alongside your counterpart, and go deeper on sales operations, partnering directly with Sales leadership on compensation, territory, AE enablement, and forecasting.

This is the revenue generation seat in our RevOps function: you'll be measured on how predictably and efficiently Stage 1 pipeline converts to closed revenue.

We're looking for T-shaped generalists: you should be comfortable across the full GTM motion, but bring real depth in sales operations.

We're an AI company selling AI to law firms, and we expect the GTM engine to be just as AI-native as the product. This role is a key driver of that. We want someone who treats AI as a structural lever for how RevOps gets done...

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