Chief Technology Officer
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Job Description
Co-Founder & CTO building the AI platform for redefining enterprise human capital. Leading innovation and culture development in an early-stage startup.
Responsibilities:
- Define and own the end-to-end AI strategic vision and technical roadmap, ensuring tight alignment with Omnia’s mission, business goals, and user needs.
- Drive Innovation: Translate business objectives into concrete, scalable, AI-powered platform capabilities.
- Build a World-Class Culture: Lead and mentor the engineering and AI/ML organisation, fostering a culture of excellence, innovation, continuous improvement, and knowledge sharing.
- Design, build, and continuously refine Omnia’s cloud-native technical architecture (AWS/GCP/Azure), ensuring it is modular, secure, and highly scalable.
- Lead the selection and oversight of the entire technology stack, choosing optimal frameworks, tools, and infrastructure for rapid development and robust deployment.
- Architect and oversee a modern DevOps strategy, including automated CI/CD pipelines, real-time monitoring, and cost-optimised infrastructure management.
- Guide the entire lifecycle of model development, from defining data strategies (sourcing, preprocessing, labelling) to building, testing, and deploying production-ready models.
- Implement and enforce state-of-the-art MLOps practices, including CI/CD for machine learning, automated monitoring, model versioning, and retraining pipelines.
- Define and own the data compliance and governance framework, ensuring the platform adheres strictly to GDPR, HIPAA, applicable data regulations, and data ethics principles.
Requirements:
- Demonstrated success defining AI/ML strategy and architecting complex, cloud-native systems from the ground up.
- A proven track record of translating high-level business goals into robust software architecture and scalable technical roadmaps.
- Experience designing and implementing bespoke machine learning frameworks that serve as the foundation for an intelligent, data-driven product.
- Expert-level command of a relevant tech stack for AI-driven applications (e.g., Python, Java, C++) and deep familiarity with major cloud platforms (AWS, GCP, Azure).
- Hands-on expertise in implementing modern MLOps pipelines for the continuous integration, delivery, monitoring, and retraining of machine learning models.
- Deep, practical knowledge of AI governance, performance evaluation frameworks, and risk mitigation strategies for production AI systems.
- Exceptional leadership and communication skills, with the ability to mentor a high-performing, cross-functional team and articulate a clear technical vision to all stakeholders.
- Proven experience leading technical teams in a fast-paced, agile startup or innovation-driven environment, with a relentless focus on execution and quality.
- A strategic mindset, with the ability to balance long-term technical debt, innovation, and immediate business priorities effectively.
- A firm grasp of Ethical AI principles and a deep understanding of data governance, security best practices, and compliance requirements, particularly in regulated environments (GDPR, HIPAA).
Benefits:
- Founding Equity & Ownership: As a Co-Founder, you will receive a significant equity stake, making you a true owner in our shared success.
- Mission-Driven Impact: Dedicate your expertise to one of the most significant challenges of our time.
- Autonomy, Mastery & Growth: We offer the autonomy to build the platform, coupled with a flexible working schedule that respects your process.
- A High-Caliber, Collaborative Team: Join a small, brilliant team that values deep collaboration and radical candor.
- Access to the Swiss Innovation Ecosystem: Based in the heart of Europe's deep tech and life sciences hub, you will build a powerful network within the Swiss and international entrepreneurship ecosystems.
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