AI Ops Engineer (GTM)

present of AI; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Orbital is seeking a candidate to study how revenue teams work today and rebuild those processes with AI agents, workflows, and API integrations. The role emphasizes practical, shipable work over formal years of experience.

A strong candidate will show shipped AI automations, experience with CRM data, and the ability to prototype and test with real users. Fast learners and clear thinkers thrive as tools evolve.

Job description

This role sits with revenue teams to study how they work today, then rebuild those processes with AI agents, workflows and integrations. A strong candidate shows real things they have built, can code and work with APIs, and understands how sales pipeline gets created. Fast learning and clear thinking matter more than years of experience.

How it fits the AI era

The job is itself a product of the AI era: the company is rebuilding its go to market around AI rather than adding tools on top. Much of the manual connecting of systems and data can be automated, while judging what to build, testing with real users and understanding commercial priorities stay human. The work also has to keep working as models and tools change month to month.

How it builds AI experience

Building agents and workflows on LLM APIs for sales, marketing and customer success teams gives direct hands on AI operations experience. Working with CRM, marketing and finance data to create one trusted view of the customer builds data integration skill. Candidates can prepare by shipping small AI automations, for example around lease or document workflows, and showing them publicly.

Worth showing

• Shipped AI side projects
• LLM API and agent work
• API and CRM integration

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Orbital

Orbital develops artificial intelligence software that automates commercial real estate legal diligence, lease analysis, and property boundary visualization.