Explainable Artificial Intelligence is an approach to building AI systems that can provide clear explanations for their decisions and actions. It aims to increase transparency and trust in AI by enabling humans to understand how AI algorithms arrive at their choices. This is especially important in healthcare, where AI systems are increasingly used to support business decisions.
We are HealthWorksAI™; our mission is to develop and implement cutting-edge XAI solutions for designing health insurance products, specifically for Medicare Advantage. We aim to create cost-effective healthcare plans tailored to individual needs, ensuring optimal patient care at affordable prices. By identifying and mitigating bias in plan design, we are committed to promoting fairness and inclusivity, ultimately empowering insurers to make informed decisions that elevate the quality of care and benefit all stakeholders.
HealthWorksAI is a healthcare SaaS company focused on solving one of the most complex and financially critical challenges facing Medicare Advantage health plans: provider network performance, access, and compliance.
Our AI-driven platform helps MA organizations:
We sell into enterprise Medicare Advantage, Medicaid and ACA organizations, working directly with network strategy, operations, and business line leaders.
If you thrive in complex, consultative sales cycles where credibility, domain expertise, and value articulation matter, HealthWorksAI offers a meaningful opportunity to build category leadership.
We are hiring an Enterprise Sales Executive to lead new logo acquisition within the government sponsored health plan space with a focus on network performance solutions.
This role is ideal for a seller who:
The position offers some BDR support, however you will own the full sales cycle from prospecting to close, working closely with product leadership, Chief Growth Officer, and Chief Strategy Officer.
Lead deep discovery focused on:
Quantify ROI and business impact tied to:
If you are an experienced healthcare SaaS seller who:
We’d love to talk!