Chief Technology Officer

We are seeking a high-impact

Chief Technology Officer

for an

April 2026

start to lead an elite "Strike Team" of vetted experts in scaling our core AI/ML initiatives and technical roadmap. This role is designed for a strategic architect who prioritizes high talent density and capital efficiency over traditional headcount volume, ensuring 100% execution certainty during a critical period of growth. You will own the integration of sophisticated AI models with robust backend architectures while implementing rigorous technical governance and documented feedback loops to drive a culture of extreme ownership and zero-downtime delivery.

AI Strategy \& Roadmap Ownership:

Serve as the primary architect for the technical and AI roadmap, pivoting the organization from tactical management to high-velocity, intelligence-driven delivery.

Engineering Excellence (The "Strike Team" Model):

Lead and mentor a consolidated team of elite, vetted experts, prioritizing high talent density over volume to ensure 100% certainty in AI and backend execution.

AI/ML Innovation \& Scaling:

Oversee the integration and scaling of core AI/ML initiatives, ensuring robust architectures that maintain a competitive edge in the health-tech ecosystem.

Capital Efficiency \& Budget Stewardship:

Manage and optimize the engineering and AI research budget, demonstrating a clear ROI by reducing coordination overhead and maximizing output per dollar.

Data Governance \& AI Ethics:

Establish and enforce rigorous IT and compliance standards, specifically focusing on data privacy for AI models, IAM protocols, and technical risk mitigation.

Cross-Functional Leadership:

Partner directly with Executive Leadership (Marketing, Operations, and BD) to align AI capabilities with aggressive organizational growth targets.

Talent Maturation \& Succession Planning:

Implement documented feedback loops and "Shadow Pipelines" to identify high-potential AI/ML talent and mitigate key-person dependency risks.

Organizational Stability:

Act as the stabilizing force during technical transitions, ensuring seamless knowledge transfer of complex AI systems and zero-downtime execution during lead-level rotations.