AI Ops Engineer (GTM)

Orbital•New York City, NY

About The Position

Orbital is rebuilding its go-to-market operations around AI. The AI Ops Engineer (GTM) will join the Revenue team as an internal forward deployed engineer, working directly with Sales, Marketing, Customer Success, Product, and Finance to understand existing processes, rethink them with AI, and build improved systems and workflows. The role will help connect teams through shared data and foundations, while adapting solutions as AI tools and models evolve. The position is intended for someone early in their career with exceptional ability. Orbital prioritizes learning speed and evidence of things built over years of experience or job titles. The role reports to the VP of RevOps and is based in New York, with a stated base salary range of $100,000–$120,000 plus equity and benefits. Orbital is an AI platform for real estate legal work, helping legal and real estate teams accelerate due diligence, drafting, negotiation, and deal coordination. The company reports having raised $75 million to date, including a $60 million Series B, and serving more than 5,000 real estate professionals.

Requirements

Strong academic background in a quantitative or technical subject, such as computer science, engineering, mathematics, physics, or economics, or equivalent evidence of exceptional ability.
Clear evidence of building things, such as side projects, tools, automations, a GitHub portfolio, a startup, hackathon projects, or work shipped on the job.
Hands-on experience building with AI, such as LLM APIs, agents, or AI coding tools.
Some coding ability, for example in Python, JavaScript, or SQL, and comfort working with APIs.
Exceptional problem-solving ability, including breaking down messy problems, learning quickly, and explaining thinking simply.
Commercial instincts, including understanding how pipeline is created, communicating with account executives and marketers, and prioritizing work that moves revenue.
Comfort with ambiguity and a strong sense of ownership in a lean, fast-moving team.
Follow Orbital security policies, complete regular awareness training, and handle sensitive data in line with ISO 27001 standards.
Complete background screening before starting.

Nice To Haves

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

Responsibilities

Embed with revenue teams to understand their work and identify where AI and automation could improve outcomes.
Build AI agents, workflows, and integrations to reduce manual work and help teams make better decisions.
Connect CRM, marketing, customer success, product, and finance data so teams can work from a trusted picture of the customer.
Try new approaches, test them quickly with users, and retain what works.
Ship in short cycles and demonstrate impact by measuring pipeline created, conversion lift, and time saved.
Build documented, maintainable solutions that can be adapted as models and tools change.
Share learnings and help colleagues make better use of AI.