We are seeking a visionary Chief Technology Officer to lead our mission of building a Large Behavioural Model (LBM) a breakthrough AI system that understands human cognition, emotion, and behaviour at unprecedented scale and depth.

As CTO , you will architect the technological foundation that powers the world's most comprehensive human behavioural dataset, transforming education while creating infrastructure that will define the next generation of human-aligned AI systems .

This is a rare opportunity to combine cutting-edge AI/ML research with meaningful social impact, working at the intersection of behavioural science, educational technology, and artificial intelligence.

Key Strategy & Vision

Research & Innovation

• Lead R&D initiatives in AI/ML, particularly focused on behavioural modelling and educational AI
• Research and implement cutting-edge approaches in psychometrics, adaptive testing, and learning analytics
• Develop novel algorithms for mapping the HASK Model (Health, Habit, Attitude, Skills, Knowledge) to measurable outcomes
• Stay current with academic research in cognitive science, educational psychology, and AI alignment
• Evaluate and integrate emerging technologies (NLP, computer vision, reinforcement learning) into the platform
• Establish partnerships with research institutions and contribute to the academic community

Team Leadership & Development

• Build, mentor, and lead high-performing engineering, data science, and product teams
• Foster a culture of innovation, technical excellence, and continuous learning
• Recruit top-tier talent in AI/ML, backend engineering, data engineering, and product development
• Establish engineering best practices, code quality standards, and development workflows
• Enable cross-functional collaboration between technology, product, and business teams
• Develop team members' technical and leadership capabilities

Business & Operations

• Manage technology budgets and optimize resource allocation for maximum ROI
• Track and analyze technology performance metrics and KPIs
• Ensure effective use of technology across all departments
• Participate in strategic management decisions and corporate governance
• Assess technological opportunities and risks for the business
• Balance innovation with practical business constraints and timelines

Required Qualifications Education :

• B.E./B.Tech/MCA in Computer Science, AI/ML, Engineering, or related technical field
• Advanced degree (M.S./Ph.D.) in Machine Learning, AI, or Computational Sciences preferred

Experience

• 8-15 years of progressive technology leadership experience
• Minimum 3-5 years in senior technology leadership roles (VP Engineering, CTO, or equivalent)
• Proven experience building and scaling AI/ML systems in production environments
• Background in EdTech, behavioural analytics, or data-intensive platforms strongly preferred
• Track record of leading teams through significant technical transformations
• Experience with startups or high-growth technology companies valued

Technical Expertise Core Technologies :

• Deep expertise in AI/ML, including model development, training, and deployment at scale
• Strong foundation in statistical modelling, psychometrics, and Item Response Theory (IRT)
• Advanced knowledge of data modelling, database design, and large-scale data architectures
• Proficiency in modern cloud platforms (AWS/GCP/Azure) and distributed systems
• Experience with recommendation systems, personalization algorithms, and adaptive systems

Specialized Knowledge

• Understanding of behavioural science, cognitive psychology, or educational psychology
• Experience with NLP, computer vision, or multimodal AI systems
• Knowledge of privacy-preserving ML, federated learning, or differential privacy is a plus
• Familiarity with learning analytics standards (xAPI, LTI, SCORM)

Leadership & Strategic Skills

• Exceptional strategic thinking and business acumen
• Proven ability to translate business goals into technical strategy and execution
• Outstanding communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Strong product sense and user-centric design thinking
• Experience presenting to boards, investors, and executive leadership
• Demonstrated ability to drive innovation while managing operational excellence

(ref:hirist.tech)