Head of AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI based in the United States. This executive role is responsible for defining and scaling an enterprise-wide AI strategy that transforms how technology, data, and machine learning create business value. You will lead the evolution of AI capabilities across customer experiences, internal operations, and product innovation. The position combines strategic leadership with hands-on technical expertise, requiring the ability to translate emerging AI opportunities into measurable outcomes. You will build and mentor a high-performing AI and Data Science organization while establishing governance, processes, and responsible AI practices. Working closely with executive leadership and cross-functional teams, you will identify high-impact opportunities and accelerate AI adoption across the organization. This is a unique opportunity to shape the future of predictive technologies within a fast-growing, innovation-driven environment. \n Accountabilities: The Head of AI will own the vision, execution, and operational maturity of AI initiatives, ensuring artificial intelligence capabilities deliver measurable customer, operational, and business impact. This role requires a balance of strategic planning, technical guidance, team leadership, and cross-functional influence. Define and execute an AI strategy, operating model, and roadmap aligned with long-term business objectives and emerging technology trends. Identify opportunities where AI can improve customer value, operational efficiency, competitive advantage, and revenue growth. Build, lead, and scale a multidisciplinary AI and Data Science organization, including machine learning engineers, AI engineers, and data scientists. Establish team structures, technical standards, performance goals, governance frameworks, and accountability models. Create processes for evaluating, prioritizing, and managing AI initiatives based on business impact, data requirements, and implementation feasibility. Develop responsible AI practices covering governance, model usage, data access, privacy, security, and ethical considerations. Guide the development and deployment of machine learning systems, AI agents, predictive models, and production-grade AI solutions. Ensure machine learning systems are reliable, measurable, monitored, and scalable in enterprise environments. Partner with Product, Engineering, Operations, Customer Success, Sales, Finance, and other teams to identify and deliver high-value AI applications. Communicate AI strategy, progress, investments, and outcomes clearly to executive stakeholders and leadership teams. Evaluate AI vendors, platforms, and technologies to determine when solutions should be built internally, purchased, or combined. Requirements: The ideal candidate is an experienced AI leader with strong technical depth, strategic vision, and the ability to connect advanced technology with business outcomes. They should be comfortable operating in a rapidly evolving environment and leading teams through organizational change. 10+ years of experience leading AI, machine learning, data science, software, or related technical teams. Proven experience developing technology strategies and delivering large-scale AI or data-driven initiatives. Strong understanding of modern AI and data science practices, including machine learning, large language models, agentic architectures, MLOps, and AI lifecycle management. Experience guiding production machine learning systems, model evaluation, governance, and operational reliability. Ability to translate complex technical concepts into clear business value for executives and non-technical stakeholders. Demonstrated success managing cross-functional teams and influencing senior leadership decisions. Strong judgment in connecting AI investments to customer outcomes, revenue opportunities, efficiency improvements, and risk reduction. Commitment to responsible AI principles, including privacy protection, bias mitigation, and regulatory awareness. Bachelor’s degree in computer science, artificial intelligence, data science, engineering, or a related field required; advanced degree preferred. Experience with industrial technology, predictive maintenance, manufacturing, IoT, sensor-driven products, or enterprise SaaS environments is a plus. Familiarity with cloud platforms, AWS, MLOps tooling, cloud data platforms, and enterprise integrations is desirable. Benefits: Competitive base salary range of approximately $244,000 - $282,000 USD, plus equity opportunities and additional compensation. Remote-first work environment with flexibility across locations in the United States. Flexible work schedule designed to support work-life balance. Comprehensive benefits package, including retirement plan contributions. Stock options and the opportunity to participate in company growth. Unlimited paid time off. Opportunity to make a significant impact by shaping the future of AI-driven technology. Collaboration with an experienced, innovative, and distributed team. Opportunities for professional growth while leading advanced AI initiatives. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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