Orbital is the AI platform for real estate legal work.

Real estate shapes the world around us: our homes, our workplaces and our cultural landmarks. It’s the infrastructure that powers everyday life and is the world's largest asset class. Yet behind every single deal, real estate and legal teams work hard to navigate decades-old complexity; manually connecting documents, hidden obligations, geo-spatial context, and multiple parties into a path forward. We connect the legal and physical record, so that path is clearer than ever before. Our mission is to make real estate transactions faster, clearer, and less manual.

Here, you'll be part of changing how the deals behind the largest asset class get transacted, and will help shape the future of real estate.

A bit about us

🚀 We’re building at the forefront of AI technology, without losing the deeply human expertise our clients depend on.

🏢 Orbital is built with former practising real estate lawyers and 250+ years of combined legal expertise. We're purpose-built for the complexity of real estate: accelerating due diligence, drafting and negotiation, and deal coordination with legal-grade precision.

💰 We've just raised a $60m Series B, led by Brighton Park Capital, to accelerate our global expansion – $75m raised to date.

🤝 We're trusted by 5,000+ real estate professionals, spanning UK Magic Circle and US Am Law 100 firms, to household names like M&S. Leading firms like BCLP, Orrick, Goodwin, Womble Bond Dickinson and Clifford Chance rely on Orbital to remove the busywork, freeing legal and real estate teams to focus on sharp judgment, standout client service, and closing deals faster.

💡 Working at Orbital means joining a bold, ambitious team, with the trust to take ownership and make a real impact from day one.

The Role

We're rebuilding Orbital's go-to-market around AI. Not by adding another tool to the stack, but by rethinking how we find, win and grow customers from first principles.

As an AI Ops Engineer (GTM) on our Revenue team, you'll sit with the people doing the work across Sales, Marketing, Customer Success, Product and Finance. You'll question how we work today, reimagine it from first principles with AI, and build what replaces it. You're essentially an internal forward deployed engineer. Over time, you'll help join up the whole business so every team works off the same data and foundations.

The technology is changing every month. We want someone who finds new and unusual ways of doing things, and builds them so they keep working as the tools change.

You'll report to the VP of RevOps. You'll bring a track record of building systems people rely on, and the judgement to decide what to build, what to buy and what to leave alone. We care about what you've built and what it moved, not your job titles.

What you'll do 🎯

Work alongside teams across the business to understand how they work today, and spot where AI could change the outcome entirely

Reinvent processes rather than patch them: design and build AI agents, workflows and integrations that change how teams find, win and grow customers

Connect our systems (CRM, marketing, CS, product and finance data) so every team works from one trusted picture of the customer

Bring your own ideas, test them quickly with real users, and keep what works

Ship in short cycles and prove impact. Build the measures that show pipeline created, conversion lift and time saved

Build things to last: documented, maintainable and easy to adapt as models and tools change

Share what you learn and help colleagues get more out of AI

Shape the technical foundations for an AI-forward GTM: how our data, systems and agents fit together across teams

Make the build, buy or leave-as-is call on new opportunities, and make the case with the expected return

Set the standards for how we build, including reliability, documentation, data handling and evaluation of AI outputs

What you'll bring 💡

A track record of building and shipping software, automations or integrations that people used, with the results to show for it