GTM AI Engineer

Zenity•New York, NY

About The Position

Zenity is seeking a GTM AI Engineer to join their team. This role involves building AI-powered tools and systems to enhance the efficiency of Sales, Marketing, Field Engineering, and Partner functions. The ideal candidate will own AI projects from conception to production, working across various teams to identify opportunities for automation and AI workflows. This position requires translating business processes into technical specifications, defining new processes and tools, and deploying AI applications using cloud infrastructure. It is a hands-on role focused on shipping useful, production-ready solutions.

Requirements

Have built and deployed AI-powered applications or workflows in a real environment, beyond a demo.
Hands-on experience with tools like Workato, HubSpot, Zapier, Claude Code, Vercel, AWS, or similar.
Led internal projects with multiple stakeholders and can describe how you handled competing priorities or shifting requirements mid-project.
Conducted user interviews or gathered requirements directly from end users and used that input to define what to build.
Understand how to structure data and context for AI systems so outputs are consistent and reliable in production.
Strong analytical skills and are comfortable using data to track performance and inform decisions.
Highly motivated and take real ownership.
Think long term and put the business and customers first.
Move fast and hold a high bar for your own work at the same time.
Comfortable with ambiguity.
Are a builder. Take genuine satisfaction in shipping things that are useful and that people actually use.

Responsibilities

Own AI projects end to end, from the first conversation about a problem through to something that runs in production and gets used every day.
Work across GTM, ops, product, and strategy to identify where automation and AI workflows can remove friction and increase throughput.
Translate messy, half-documented internal processes into scoped specs and working systems, gathering requirements directly from the people doing the work.
Define new processes and tools to solve problems the business has not had to solve before.
Deploy AI applications using cloud infrastructure and integrate them into the GTM stack.
Work hand in hand with the hiring manager and GTM leadership to prioritize a large pipeline of AI projects and bring a point of view on what to build next and why.
Serve as a connector across teams, keeping complex initiatives on track and making sure execution matches intent.