Head of Technology

Head Of Technology

Do you want to be part of the core team that is building the next one-of-a-kind tech companies that can potentially change your career's trajectory?! We are striving to build the future of AI for consumer enterprises, and our founders need your help as we are growing. Come join us and leave your mark!

Our founders are looking for a highly ambitious and highly technical Head of Technology to lead the strategy, development, and integration of AI systems across all layers of the AI stack. This senior executive role requires deep technical expertise in both AI/ML and full-stack development, combined with strong leadership, strategic vision, and business acumen. They are familiar with startup environments and bridge the gap between technical teams and business stakeholders to drive innovation and deliver robust, scalable, and ethical AI-powered products.

Responsibilities

• Hands-on Technical Implementation, Architecting, and Oversight
• Design and implement end-to-end systems: Guide and implement the AI-Native platform of Verneek, as well as its solution suite, fullstack: from backend infrastructure to data ingestion, model training and inference, to front-end interfaces and applications.
• Architect scalable solutions: Ensure the development of robust, scalable, secure, and maintainable full-stack systems that can deploy and run AI models in production at scale.
• Evaluate and select technology: Assess and recommend the use of appropriate AI frameworks (e.g., PyTorch, TensorFlow), cloud platforms (e.g., AWS, Azure), and other tools and vendors.
• Enforce best practices: Drive and enforce coding standards, technical architecture patterns (e.g., microservices), and quality control mechanisms.
• Strategic Leadership and Overall Vision
• Define and execute the technology strategy: Set the vision, roadmap, and strategic priorities for how Verneek's fullstack technologies will create business value, improve products, and drive operational efficiency.
• Align with business objectives: Collaborate with senior leadership and product teams to translate business needs into technical specifications and viable AI solutions.
• Team Leadership and Management
• Manage projects: Oversee project planning, resource allocation, and budget management to ensure successful, on-time, and high-quality delivery.
• Build and mentor teams: Recruit, develop, and manage high-performing teams of Software/AI/ML engineers, full-stack developers, and MLOps specialists, and beyond.
• Foster a culture of innovation while delivering quickly: Encourage experimentation, continuous learning, and adaptability to emerging technologies and trends.