Overview
Chief Technology Officer Jobs in United States at Confidential Company
Title: Chief Technology Officer
Company: Confidential Company
Location: United States
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.