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. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence.
That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision.
We’ve just raised a $60m Series B to accelerate our UK/US expansion.
We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster.
Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.
Role Overview
You'll be one of two Revenue Operations Managers scaling our GTM engine. You'll own the shared core (HubSpot, reporting, stack, process) alongside your counterpart, and go deeper on marketing operations, owning the lead lifecycle, attribution, campaign ops, BDR ops and the martech stack that powers demand generation.
This is the pipeline generation seat in our RevOps function: you'll be measured on how predictably and efficiently demand converts into Stage 1 opportunities.
We're looking for T-shaped generalists: you should be comfortable across the full GTM motion, but bring real depth in marketing operations.
We're an AI company selling AI to law firms, and we expect the GTM engine to be just as AI-native as the product. This role is a key driver of that. We want someone who treats AI as a structural lever for how RevOps gets done, not a side project.
This role is ideal for someone who has run marketing ops at a B2B SaaS company, knows how to make a funnel measurable and a handoff clean, and wants to keep that depth while staying connected to the full GTM picture.
What You'll Own
GTM Systems & HubSpot Administration
Own and optimize the full GTM tech stack (HubSpot, Apollo, Jiminny, Clay, Nook, and others)
Design, build, and maintain HubSpot workflows, automation, and routing logic
Proactively resolve system issues, inefficiencies, and data gaps
Identify, select, and onboard new AI-powered GTM tools as the company scales
Reporting & Analytics
Deliver accurate, consistent reporting across pipeline, funnel, bookings, conversion, and GTM performance
Partner with stakeholders to define metrics, KPIs, and reporting requirements
Translate data into actionable insights for Sales, Marketing, and Leadership
Data Hygiene & Process Design
Maintain HubSpot as a clean, reliable source of truth across GTM teams
Design scalable processes that grow with the business
Drive operational excellence across the revenue org
AI in the RevOps Function
Make RevOps itself AI-native: rework data hygiene, reporting, and internal research workflows so the function operates at a higher leverage
Partner with Sales, Marketing, and CS leadership to make their teams more AI-fluent, not just more AI-equipped
Lead Lifecycle & Routing
Own lead routing rules, lead scoring, and the lead-to-account model in HubSpot
Define and maintain MQL criteria and the MQL SQL handoff with Sales
Build and optimize lead enrichment, deduplication, and assignment workflows
Campaign Operations
Partner with Demand Gen on campaign setup, tracking, and measurement
Manage UTM standards, source tracking, and campaign attribution
Operationalize nurture programs, lifecycle emails, and event follow-up
Funnel Analytics & Attribution
Build and own funnel reporting end-to-end: traffic lead MQL SQL opportunity closed-won
Deliver attribution analysis to inform marketing investment decisions
Partner with Marketing leadership to define KPIs and channel performance metrics
AI in Marketing Ops
Redesign the day-to-day workflows that BDR’s/marketers run, embedding AI where it changes how the work gets done
Deploy and tune AI-powered enrichment, intent, and scoring tools so the top of funnel is sharper, not just bigger
Use AI to make MQL routing, deduplication, and lead-to-account matching faster and more accurate
Partner with Demand Gen and Content on AI-assisted campaign ops: targeting, personalization, nurture optimization
Evaluate AI for funnel analytics and attribution where it materially beats existing reporting
5+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, or Business Operations at a B2B SaaS company
Comfortable operating across Sales, Marketing and Customer Success, willing to learn the side you're less deep in
HubSpot is trusted as a clean, reliable source of truth for Marketing
Marketing leadership has clear, accurate funnel and attribution reporting
Leads are routed quickly and consistently, and the MQL SQL handoff is smooth
Marketing investment decisions are informed by reliable, well-instrumented data
The martech stack scales smoothly as demand-gen programs grow
Competitive salary range
US:$150,000-$165,000
UK:£90,000-£110,000
Equity options in a fast-growing startup
25 days holiday plus bank holidays
Flexible working hours and location
Personal development budget and learning opportunities
Free lunch on Wednesdays and Deliveroo budget for late nights
Cycle-to-work scheme
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.
