Chief AI Officer

Key Responsibilities :

- Define and execute the overall AI and technology roadmap for Chronosphere

- Lead the end-to-end build-out of the ecosystem (technical platforms + academic frameworks)

- Act as the technical and academic head, driving innovation and learning outcomes

- Build, mentor, and lead high-performing engineering and data teams

- Ensure alignment of all technology initiatives with Macro Vision Academy's long-term vision

- Establish governance, processes, and best practices for scalable growth

Strategic & Leadership Responsibilities :

- Define and execute the overall AI and technology roadmap for Chronosphere

- Lead the end-to-end build-out of the ecosystem (technical platforms + academic frameworks)

- Act as the technical and academic head, driving innovation and learning outcomes

- Build, mentor, and lead high-performing engineering and data teams

- Ensure alignment of all technology initiatives with Macro Vision Academy's long-term vision

- Establish governance, processes, and best practices for scalable growth

Technical & Product Development :

- Oversee development of AI/ML, Data Science, and automation-driven products and platforms

- Drive architecture and system design decisions ensuring scalability, reliability, and security

- Guide teams on modern tech stacks, cloud platforms, and AI frameworks

- Evaluate and adopt emerging technologies to enhance product capabilities

- Collaborate with stakeholders to translate ideas into market-ready, high-impact solutions

Required Skills & Experience :

- 10-15 years of experience in technology leadership / engineering / AI product development

- Strong expertise in AI/ML, Data Science, and modern software architectures

- Proven experience building and scaling technology platforms or products (0-1 or 1-scale)

- Experience leading cross-functional teams (engineering, data, product)

- Strong understanding of cloud ecosystems (AWS / Azure / GCP)

- Ability to balance strategic vision with hands-on technical direction

- Excellent leadership, mentoring, and stakeholder management skills

Preferred Qualifications :

- Background in EdTech / AI platforms / learning ecosystems

- Experience in building academic + product-driven environments

- Entrepreneurial mindset with exposure to startup or innovation-led environments