Product Engineer
Job description
About the role
This role builds AI-powered products for commercial real estate law. The team accelerates due diligence and transforms transaction workflows. You influence technical and product direction in a fast-growing legal operations context.
Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.
Key facts
What you'll do
Meaningful features are owned end to end, contributing to Orbital's next phase of growth.
Frontier models are integrated into real production workflows to push the boundaries of AI in legal operations.
Technical decisions and product direction are shaped to solve customer problems in commercial real estate law.
Requirements
You are about building products that transform real-world workflows in legal operations.
You are excited by the potential of AI and actively find ways to it in production systems.
You have experience building modern web applications using React, TypeScript, and Next.js.
You collaborate effectively with product, engineering, and domain experts in a professional services context.
You experiment, learn, and iterate rapidly in a fast-paced delivery environment.
Practical notes
This role operates under ISO 27001 standards, requiring adherence to security policies, regular awareness training, and careful handling of sensitive data. The position is hybrid with flexibility in working hours and location. Typical interview steps
Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.
Good to know
AI assists engineers by automating routine legal document review in commercial real estate.
The role uses modern web stacks such as React, TypeScript, and Next.js.
Security and compliance are organization-wide priorities aligned with ISO 27001.
The team operates in real estate transaction workflows, targeting faster and more transparent due diligence.
a product engineering role focused on building and extending core production systems.
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.
Career growth
Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.
About the company
🏢 🚀 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.