AI Ops Engineer (GTM) - Junior

A bit about us:

🏢 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.

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. This role is for someone early in their career with exceptional raw ability: we care far more about how fast you learn and what you've built than about years of experience or job titles.

What you'll do 🎯

• Embed with revenue teams to understand how they work, and spot where AI and automation could change the outcome
• Build AI agents, workflows and integrations that remove manual work and help teams make better decisions
• Connect our systems (CRM, marketing, CS, product and finance data) so teams work from one trusted picture of the customer
• Try new approaches, 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

What you'll bring 💡

• A strong academic background in a quantitative or technical subject (for example computer science, engineering, maths, physics or economics), or equivalent evidence of exceptional ability
• Clear evidence that you build: side projects, tools, automations, a GitHub, a startup, hackathons, or things you've shipped at work
• Hands-on experience building with AI, such as LLM APIs, agents or AI coding tools
• Some coding ability (for example Python, JavaScript or SQL) and comfort working with APIs
• Exceptional problem-solving: you break messy problems down, learn new things quickly and explain your thinking simply
• Commercial instincts. You understand how pipeline is created, speak the language of AEs and marketers, and prioritise what moves revenue
• Comfort with ambiguity and a strong sense of ownership in a lean, fast-moving team

Nice to have

• Time in a customer-facing, sales or consulting role
• Experience with a CRM (HubSpot or Salesforce) or automation tools such as n8n, Zapier or Make
• Experience at an early-stage or fast-growing startup

Salary: $100,000 – $120,000 + equity + benefits (New York)

💰 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.