AI Ops Engineer (GTM) - Mid Level

present of AI; New York (NY); On-site; USD 110,000 - 180,000; Full time

Job summary

Present of AI is seeking an internal builder who collaborates with sales, marketing, customer success, product and finance teams to automate workflows using AI agents and system integrations. The role requires hands-on coding in Python or TypeScript and SQL, and a track record of shipping real automations that users rely on.

Candidates should demonstrate experience connecting CRM and data tools, plus business sense for how pipeline is built.

Qualifications

• Proven ability to ship software or automations used in a business environment.
• Ability to write Python or TypeScript and SQL.
• Experience connecting a CRM, warehouse or finance tool and driving measurable impact.

Responsibilities

• Replace slow manual steps with AI agents, workflows and integrations.
• Design agents and retrieval flows for business processes.
• Assess and improve model outputs and ensure adoption by non-technical teams.

Skills

Python

TypeScript

SQL

CRM integration

Tools

HubSpot

Salesforce

Job description

This role is an internal builder who sits with sales, marketing, customer success, product and finance teams, learns how they work, and replaces slow manual steps with AI agents, workflows and system integrations. A strong candidate has shipped real software or automations that people actually used, can write Python or TypeScript and SQL, and has connected a CRM, warehouse or finance tool. They also bring commercial sense about how pipeline gets made and can decide what to build, buy or leave alone.

How it fits the AI era

The work itself is applying AI to a business: designing agents and retrieval flows, checking the quality of model outputs, and rebuilding processes so they keep working as tools change every few months. What stays human is listening to colleagues to find the problems worth solving, making the build or buy call with a clear case for return, and earning trust so non-technical teams adopt what gets built.

How it builds AI experience

Someone in this role would get deep hands-on practice putting LLM agents and evaluation habits into production inside a company that sells AI to real estate lawyers, with a short feedback loop from sales and customer teams. To build toward it, ship a small agent or automation on top of a CRM such as HubSpot or Salesforce, measure the time it saves, and write up how it was tested.

Worth showing

• LLM agents in production
• Python or TypeScript with SQL
• CRM and data integrations
• Measured impact of tools built
• Side projects and experiments

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.