Head of Research & Development (AI)

TL;DR

Head of Research & Development (AI): Leading long-term research initiatives focused on advancing intelligent decision systems and reasoning architectures with an accent on signal modeling, structured judgment, and computational reasoning. Focus on designing experimental frameworks, developing reusable logic models, and transforming abstract research concepts into scalable system capabilities.

Location: Must be based in the United States

What you will do

• Lead long-term research initiatives on intelligent decision systems and reasoning architectures.
• Identify emerging opportunities in AI, signal modeling, and computational reasoning to drive innovation.
• Design and validate experimental frameworks for decision intelligence and system architecture.
• Develop reusable methodologies and logic models for adoption across product and engineering teams.
• Establish experimentation standards, evaluation methodologies, and governance for research activities.
• Advise executive leadership on strategic technology directions and technical differentiation.

Requirements

• Extensive experience in research, AI systems design, or computational modeling.
• Strong expertise in systems thinking and the design of structured decision-making frameworks.
• Deep understanding of ML concepts, reasoning systems, and complex modeling techniques.
• Proven ability to scale abstract research into practical, reusable solutions.
• Experience leading innovation in ambiguous environments with a focus on long-term goals.
• Must be based in the United States.

Culture & Benefits

• Fully remote work environment.
• High-impact leadership role with direct influence on long-term technology strategy.
• Significant autonomy and ownership over research direction and innovation.
• Opportunity to work on cutting-edge AI, reasoning systems, and decision intelligence.
• Collaborative culture that values curiosity, experimentation, and continuous learning.
• Flexible working arrangements supporting productivity and work-life balance.

Hiring process

• AI-powered matching process for initial review against core requirements.
• Shortlisted candidates are shared with the hiring company for interviews and assessments.