Join Omnia as a Co-Founder & CTO to build the AI platform that will redefine enterprise human capital. We are an early-stage startup seeking a visionary leader (ETH/EPFL preferred) to architect our system and culture from scratch in return for significant founding equity.
Tasks
1. Strategic & Technical Leadership
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. Drive our competitive edge through continuous R&D into emerging technologies, tools, and methodologies.
- 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.
- Align Stakeholders: Serve as the key technical voice, translating complex concepts and roadmaps for executives, product managers, and external partners (research institutions, thought leaders).
2. Platform Architecture & Cloud Engineering
Design, build, and continuously refine Omnia’s cloud-native technical architecture (AWS/GCP/Azure), ensuring it is modular, secure, and highly scalable.
- Drive Technology Selection: Lead the selection and oversight of the entire technology stack, choosing optimal frameworks, tools, and infrastructure for rapid development and robust deployment.
- Implement DevOps Excellence: Architect and oversee a modern DevOps strategy, including automated CI/CD pipelines, real-time monitoring, and cost-optimised infrastructure management to guarantee reliability, performance, and availability.
- Unify the System: Lead the seamless integration of AI models, data pipelines, and APIs into a single, cohesive, and high-performance product.
3. AI/ML Engineering & MLOps
Guide the entire lifecycle of model development, from defining data strategies (sourcing, preprocessing, labelling) to building, testing, and deploying production-ready models.
- Champion MLOps Best Practices: Implement and enforce state-of-the-art MLOps practices, including CI/CD for machine learning, automated monitoring, model versioning, and retraining pipelines.
- Ensure Model Performance: Establish and own the frameworks for rigorous benchmarking, evaluation, and continuous monitoring of AI model performance, accuracy, and real-world business impact.
4. Security, Governance & Risk Management
Define and own the data compliance and governance framework, ensuring the platform adheres strictly to GDPR, HIPAA, applicable data regulations, and data ethics principles.
- Embed Security by Design: Embed robust security principles across the platform, including end-to-end encryption, identity and access management (IAM), and secure API development.
- Mitigate Risks Proactively: Identify and mitigate risks related to both AI usage (e.g., bias, fairness, explainability) and system performance (e.g., cybersecurity resilience, stability, downtime).
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. Your contribution as a key architect of our future will be directly and substantially rewarded.
- Mission-Driven Impact: Dedicate your expertise to one of the most significant challenges of our time. You will directly shape the future of enterprise human capital optimization, building technology from the ground up that makes a tangible difference in people's lives.
- Autonomy, Mastery & Growth: We offer the autonomy to build the platform, coupled with a flexible working schedule that respects your process. This role guarantees a steep learning curve and unparalleled opportunities for professional and personal development as we scale the company together.
- A High-Caliber, Collaborative Team: Join a small, brilliant team that values deep collaboration and radical candor. Your ideas will be challenged and respected in our shared pursuit of the best solutions.
- 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, opening doors to future opportunities and partnerships.
If you are a visionary technical leader ready to build a category-defining company from the ground up, we want to hear from you. This is a pivotal role that combines deep technical challenge with significant ownership and impact.