Chief Technology Officer für Zürich gesucht
Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt
Job Kategorie: Sonstige Branchen Sonstige Tätigkeitsbereiche
Stellenangebot Basisdaten
- Arbeitsort:
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CH 8001 Zürich
- Umkreis:
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keine Angabe.
- Art der Arbeitsstelle:
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- Letze Aktualisierung:
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28.10.20252025-10-28
Stellenausschreibung: Chief Technology Officer
- Arbeitgeber bzw.
Arbeitsvermittler
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Omnia in Hamburg
- Branche
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Sonstige Branchen
- Kategorie
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Sonstige Tätigkeitsbereiche
- Stellenbeschreibung
- Intro 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.
Closing 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.
- Qualifikation
- Arbeitskräfte
- Verdienst:
- n.a.
- Bewerbung an
- Omnia
Am Strandkai 1
De 20457 Hamburg
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