Head of Artificial Intelligence

Lead of AI

Location:

Department:

Reports to:

About the Role

(based in Ireland)

As the Lead of AI, you will be responsible for guiding both the strategic direction and hands-on execution of the company’s AI initiatives. The title and scope will be adapted to match your experience and level of impact.

Key Responsibilities

Strategic Leadership

• Define the overarching AI and data science vision, roadmap, and priorities in close collaboration with the executive team.
• Drive decisions related to methodology, infrastructure, model governance, and team direction.
• Mentor and scale the data science function while establishing technical standards and best practices.
• Assess emerging AI technologies and identify initiatives that provide maximum business value.

Execution & Delivery

• Lead the end-to-end design, development, and deployment of AI and machine learning models.
• Work with large, diverse, and complex datasets across multiple industries and data sources.
• Convert complex data into actionable insights and integrate AI-driven capabilities into the product.
• Partner closely with engineering, product, and domain experts to ensure alignment between technical solutions and business objectives.

What We’re Looking For

Core Skills & Experience

• 5+ years of hands-on experience in Data Science, Machine Learning, or Applied Statistics.
• Deep expertise in machine learning, AI methodologies, and statistical modeling.
• Strong proficiency with modern ML frameworks such as Python, PyTorch, and TensorFlow.
• Experience deploying models to production and managing end-to-end ML pipelines.
• Ability to balance strategic decision-making with hands-on technical execution.
• Strong communication skills, particularly in explaining AI concepts and trade-offs to both technical and non-technical audiences.

Leadership & Startup Mindset

• Strategic thinker capable of setting AI direction while actively contributing to high-priority deliverables.
• Comfortable working in fast-paced, ambiguous startup environments.
• Skilled at prioritizing initiatives that optimize product and business outcomes.
• Entrepreneurial mindset with the ability to operate effectively in resource-constrained settings and adapt quickly to change.

Nice-to-Have Experience

• Prior experience working in an early-stage startup or dynamic team environment.
• Familiarity with ESG, sustainability, or supply chain data.
• Experience integrating data from enterprise systems such as ERP or PLM tools.
• Knowledge of carbon accounting frameworks or environmental data management.

Why Join

• Competitive compensation based on impact and leadership.
• Opportunity to define and shape the AI/data science culture within a high-growth, mission-driven startup.
• Lead and grow a small AI/data science team while influencing product and strategic direction.
• Work on meaningful challenges that contribute to reducing global supply chain emissions.
• Flexible, remote-friendly work environment