Staff Product Engineer

Orbital; Greater London; Hybrid; GBP 100,000 - 180,000; Full time

Benefits offered by this job

Very competitive salary range plus (un

Equity options

Hybrid working (1-2 days in office)

25 days holiday + bank holidays

Lunch on Wednesdays / Deliveroo budget

Cycle-to-work scheme

Job summary

Orbital is building the AI platform that redefines real estate legal work. You'll lead the development of core product features, guiding small teams and directing AI coding agents to produce production-grade software.

You will work with TypeScript, React, PostgreSQL and Python, turning ideas into customer-facing features at speed, and relentlessly improving engineering practices with AI-assisted workflows.

Qualifications

• Demonstrated belief that AI reshapes industries and a drive to build at the frontier.
• Evidence of excellence in professional, academic, or personal domains.
• Willingness to work across product, design, and AI boundaries.
• Experience building modern agentic systems or complex ML products.
• History of working on products generating millions in ARR with high growth.
• Rapid career progression, e.g., moving from junior to senior level quickly.
• Ability to critique AI-generated output with high standards.

Responsibilities

• Lead the development of key product features from concept to production, setting the technical direction and architecture.
• Own projects end-to-end, guiding small teams of two to four engineers to deliver reliable production systems.
• Direct AI coding agents to generate, iterate and refine production-quality software.
• Work with a stack including TypeScript, React, PostgreSQL and Python, reviewing code from AI agents.
• Turn new ideas into customer-facing features rapidly, often within days.
• Continuously improve engineering practices with AI-assisted development and modern workflows.

Skills

AI mindset

Excellence

Generalist

Agentic systems

ARR track record

Rapid progression

Code review discipline

Tools

TypeScript

React

PostgreSQL

Python

Job description

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.

What You'll Be Doing

You’ll build the tools that fix how the world's largest asset class changes hands. We're moving property transactions away from manual document checks toward an automated AI solution that thinks like a real estate lawyer.

You won't just execute builds – you'll use your professional judgement to direct product development and shape the foundations of our next growth phase. The opportunity is real, and you'll have genuine influence over what we create.

• Lead the development of key product features from concept to production, setting the technical direction and architecture.




• Own projects end-to-end, guiding small teams of two to four engineers to deliver reliable production systems.




• Direct AI coding agents to generate, iterate and refine production-quality software.




• Work with a stack commonly including TypeScript, React, PostgreSQL and Python, reviewing and shaping code produced by AI agents.




• Rapidly turn new ideas into customer-facing features, often within days rather than months.




• Continuously improve engineering practices by adopting AI-assisted development and modern software workflows.

The Impact You'll Have

Your work will help professionals and individuals understand property transactions before they incur massive legal fees. By building for where models are going, you'll contribute to a system that handles over 1 trillion tokens and aims to accelerate legal work by 70%.

You're not just solving toy problems – you're fixing a £multi-billion global market that's currently stuck in archaic processes. Your technical decisions will directly determine how we scale from processing 200,000 transactions to transforming the entire industry.

What We're Looking For

• A deep conviction that AI will reshape industries and a desire to build at that frontier.




• Evidence of reaching a high level of excellence in a professional, academic, or personal domain.




• A generalist mindset with the willingness to work across product, design, and AI boundaries.




• Experience building modern agentic systems or reasoning through complex ML products.




• A track record of working on products generating £millions in ARR with high growth.




• Rapid career progression – such as moving from junior to senior level in under five years.




• The ability to critique AI-generated output with high standards and technical taste.

What We Offer

• Very competitive salary range plus equity options in a Series B startup.




• Hybrid working (1-2 days per week in our Farringdon office).




• 25 days holiday plus bank holidays and a personal development budget.




• Free lunch on Wednesdays and a Deliveroo budget for late nights in the office.




• A cycle-to-work scheme and flexible working hours.

Reasons We Might Not Be For You

• We don't have established machine learning infrastructure or a polished corporate playbook – so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating.




• The pace is intense and the standards are uncomfortably high – which won't suit someone looking for a predictable, low-intensity environment.




• We don't have a traditional career ladder or the brand recognition of a household name – so we're a better fit for those motivated by ownership rather than title or status.

Security is everyone’s responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on.

At Orbital, we’re committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don’t meet every single requirement, or if the right role isn’t listed yet, we’d still love to hear from you.

This hiring range is a reasonable estimate of the base pay range for this position at the time of posting

Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.

Everyone who works with Orbital goes through background screening before they start. It's part of how we keep Orbital secure, for the people who work here and for the client information we're trusted with.