Chief Technology Officer positions focus on delivering results in their domain. This page aggregates open Chief Technology Officer roles and what employers typically expect.
**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Chief Technology Officer based in United States.** This executive role offers the opportunity to define and lead the technology vision of a rapidly scaling health technology organization. You will own the strategic direction of engineering, artificial intelligence, and platform innovation while driving measurable business impact. As a key member of the leadership team, you will shape an AI-first product ecosystem that improves access to essential services for diverse communities. You will combine deep technical expertise with strong business judgment to build scalable architectures, high-performing teams, and sustainable operating models. The role requires a visionary leader who can balance innovation, security, compliance, and operational excellence in a complex healthcare environment. You will have significant influence over technical strategy, organizational growth, and the future direction of a mission-driven platform. ### Accountabilities The Chief Technology Officer will be responsible for defining and executing the long-term technology strategy while leading engineering, AI, and infrastructure initiatives. This role requires a hands-on strategic leader who can build high-performing teams, establish scalable technical foundations, and ensure technology investments align with organizational goals. - Own the overall technology and AI strategy, creating a roadmap that supports business growth, product innovation, and operational excellence. - Lead the transition toward an AI-first technology ecosystem by integrating advanced AI capabilities, LLMs, and machine learning solutions into core products. - Oversee engineering excellence by building and mentoring a highly skilled technical organization focused on quality, speed, and execution. - Guide AI/ML architecture decisions, ensuring scalable, secure, and competitive solutions within a rapidly evolving technology landscape. - Manage engineering and AI budgets with a strong focus on capital efficiency, measurable ROI, and maximizing impact from technology investments. - Establish strong data governance, security, privacy, and compliance frameworks to protect sensitive information and support enterprise-scale operations. - Partner with executive leadership across business functions to align technical capabilities with growth strategies and customer needs. - Develop talent strategies, succession planning processes, and mentorship frameworks to reduce key-person dependencies and strengthen organizational resilience. - Provide leadership during technical transitions, ensuring continuity, knowledge transfer, and reliable delivery across engineering initiatives. - Define global technical strategies for distributed engineering teams, ensuring effective collaboration and scalable execution across regions. - Balance innovation with risk management by maintaining strong security, compliance, and operational standards while accelerating product development. ## **Requirements** The ideal candidate is a senior technology executive with extensive experience leading engineering organizations, scaling AI-driven products, and building secure, high-performing technology platforms. This leader should combine technical depth, strategic vision, operational discipline, and strong executive communication skills. - 12+ years of progressive engineering experience, including 5+ years in a CTO, VP of Engineering, or equivalent senior technology leadership role within a high-growth B2B SaaS environment. - Proven experience leading technical organizations through major growth phases, organizational transformations, and strategic inflection points. - Demonstrated success building and scaling AI/ML products, including experience with LLMs, AI agents, predictive models, and modern AI architectures. - Strong understanding of cloud architectures, APIs, microservices, data platfor…