GTM Lead

Arbiter Ai · Remote, US · FullTime

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Arbiter is the AI-powered care orchestration system that unites healthcare. We are launching our best-in-class patient facing Agentic platform to optimize patient outcomes, using a unique multi-modal approach. We optimize complex healthcare workflows that interface with patients using the latest Agentic AI approaches to optimize patient outcomes in smart ways, and combine it with a sophisticated platform to serve this Agentic layer at scale. We are looking for talented individuals to join our team and help us push the frontier of what’s possible with Agentic workflows + Healthcare.

Backed by one of the largest seed rounds in health tech history and operators who bring the expertise and distribution to scale nationally, we're building the connected infrastructure healthcare should have had all along.

Our Culture & Values

We are a high-performing group of engineers dedicated to delivering innovative, high-quality solutions to our clients and business partners. We believe in:

Responsibilities

As the GTM Lead, you'll operate across the full commercial stack: sourcing and closing enterprise deals with large provider organizations and payers, shaping how we talk about our product, and building the revenue operations machinery underneath it all. This is a builder role, not a strategy role. You'll be our first dedicated GTM hire, and no playbook exists yet.

Minimum Qualifications

Preferred Qualifications

This role can be remote or on-site, based in our New York City or Boca Raton offices, in a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.

 

Job Benefits

We offer a comprehensive and competitive benefits package designed to support your well-being and professional growth:

 

Pay Transparency

The annual base salary range for this position is $152,000-$200,000. Additional compensation offered: equity and performance bonus. Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.

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