About the job
Join us at Orbital as we redefine real estate transactions to be smarter, faster, and seamless.
As the largest asset class globally, real estate is still hindered by outdated legal processes that are slow and manual. Lawyers face the daunting task of meticulously reviewing lengthy documents while clients demand quicker, more transparent due diligence.
Enter Orbital Copilot, the AI-powered assistant tailored specifically for commercial real estate law. Built in collaboration with experienced real estate attorneys, it enhances complex due diligence processes by up to 70%, all while ensuring legal-grade accuracy.
With a recent funding boost of $60 million in Series B, we are poised for rapid expansion across the UK and US.
We are proud to be partnered with leading firms like Goodwin and BCLP, empowering legal teams to focus on their core competencies: exercising sharp legal judgment, providing exceptional client service, and closing deals efficiently.
At Orbital, you will be part of a team that is revolutionizing the real estate transaction landscape - moving fast, collaborating effectively, and empowering you to make a significant impact from day one.
As a Lead Software Engineer, you will develop innovative tools that transform how the world’s largest asset class is transacted. We’re shifting property transactions from tedious manual checks to an automated AI solution that mimics the thought processes of real estate lawyers.
You won’t just implement builds; you will leverage your expertise to guide product development and lay the groundwork for our next growth phase. The potential for influence and innovation is immense.
Key Responsibilities
Lead the development of critical product features from ideation to production, establishing the technical direction and architecture.
Oversee projects from start to finish, mentoring small teams of 2-4 engineers to ensure the delivery of reliable production systems.
Direct AI coding agents to create, iterate, and refine high-quality software.
Engage with a tech stack that includes TypeScript, React, PostgreSQL, and Python, reviewing and enhancing the code generated by AI agents.
Quickly transform new ideas into customer-facing features, ensuring alignment with user expectations and market demands.

