Chief Technology Officer

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 platforms, and large-scale software systems across environments such as AWS or GCP.
• Experience recruiting, developing, and retaining high-performing engineering teams with a focus on talent density and operational effectiveness.
• Proven ability to manage technology budgets, optimize resources, and demonstrate measurable business impact from engineering investments.
• Expertise establishing security, compliance, and governance frameworks, including experience with HIPAA, SOC 2, HITRUST, IAM practices, and technical risk management.
• Experience implementing operational processes such as feedback loops, succession planning, reliability practices, and scalable delivery frameworks.
• Strong executive presence with the ability to influence business leaders and collaborate effectively across marketing, operations, partnerships, and executive teams.
• Excellent communication skills with the ability to translate complex technical concepts into clear business outcomes.
• Preferred: Experience in healthcare technology, including EHR integrations, FHIR standards, and payer/provider ecosystems.
• Preferred: Experience managing globally distributed engineering teams, including international teams and remote collaboration models.
• Preferred: Familiarity with MLOps, model governance, data engineering practices, and technologies such as GCP, MongoDB, PostgreSQL, Node.js, and modern AI/ML frameworks.

Benefits

• Competitive executive compensation package.
• Opportunity to lead technology strategy at a mission-driven health technology organization.
• Fully remote work environment with flexibility across the United States.
• Significant ownership and influence over AI innovation, engineering culture, and platform evolution.
• Opportunity to build and scale high-performing technical teams.
• Ability to work on technology that creates meaningful social and healthcare impact.
• Collaborative environment with direct partnership across executive leadership.
• Exposure to cutting-edge AI, cloud infrastructure, and data-driven healthcare solutions.