Chief Technology Officer (only from AI Product companies)

15+ years of experience in software engineering, technology leadership, product development, or related fields.Demonstrated experience building and launching AI-powered products used in real-world production environments.Proven experience leading end-to-end product development, from initial concept and MVP to deployment, adoption, and subsequent scaling.Strong understanding of Generative AI, LLMs, machine learning, RAG, AI agents, model evaluation, and production AI architecture.Strong technical foundation in software architecture, backend development, APIs, databases, cloud platforms, and distributed systems.Proven experience managing and developing multidisciplinary technology teams, including engineers and AI/ML professionals.Demonstrated ability to hire talent, set performance expectations, mentor team members, and drive accountability.Experience making architecture and technology decisions in a startup, scale-up, or product-driven organization.Strong understanding of software development methodologies, DevOps, CI/CD, testing, and production operations.Excellent communication, stakeholder management, strategic planning, and problem-solving skills.Ability to balance hands-on technical contributions with team leadership and business strategy.

Preferred Qualifications

Previous experience as a CTO, VP of Engineering, Head of Engineering, Director of Technology, or equivalent leadership role.Experience in an early-stage or high-growth startup where the candidate helped build the technology function from the ground up.Experience commercializing AI products and scaling them to paying customers or enterprise deployments.Experience with MLOps, LLMOps, vector databases, model serving, AI evaluation frameworks, and AI observability.Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.Experience in B2B SaaS, enterprise AI, AI-enabled automation, or other software product businesses.Experience managing distributed or cross-functional teams.Understanding of product analytics, usage metrics, customer feedback loops, and AI product economics.Experience contributing to technology budgets, business planning, fundraising, or technical due diligence.