8+ years leading AI research teams at Fraunhofer, 3+ years personnel management experience, active contributor to ISO/IEC AI standards, holds EU patent for integrated AI quality control
Experienced tech entrepreneur (Machdyne founder) providing expertise in technical architectures until we have found a full-time CTO.
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Aleksander Daum Product Development
Stephanie Hofmann Product & Website Design
Androniki Mertsiotaki UX Research
Anna Leschanowsky Research Strategy & Data Governance
Beyza Artunç Tas Product Design
Our Values
Truth
We speak honestly, including uncomfortable truths when necessary. We take responsibility for our actions, acknowledge our limitations, and address issues promptly. We pursue truth with humility, recognizing our own shortcomings while being open-eyed about reality.
Love
We treat others with respect and generosity, even when delivering difficult messages. We assume good intentions, avoid blame, and genuinely want to do good for people. We love our meaningful work and demonstrate care through respectful treatment of everyone.
Clarity
We communicate with transparency and precision, working to repair misunderstandings and solve complex problems. We are direct in our communication while maintaining clear vision about both opportunities and limitations, eliminating confusion in our work and relationships.
Open Positions
Ailusive develops the next generation of regulatory compliant AI evaluation technologies. We’re building a B2B-platform ecosystem with reusable validation components that connects certification companies wanting to use state-of-the-art practices for testing with enterprises seeking certification of their AI systems.
Technical Co-Founder | Chief Technology Officer
Your Mission
As Technical Co-Founder, you will be our chief solution architect and lead the development of our platform ecosystem that serves both certification companies and enterprise AI deployers. You’ll transform cutting-edge research into production-ready, standards-compliant technology that can be deployed at scale across regulated industries.
Your Focus
Platform Architecture: Design modular, reusable validation components that can be assembled into standalone certification tools and integrated enterprise solutions
Technical Leadership: Build and lead engineering teams while establishing development processes for regulatory-compliant software
Product Engineering: Drive technical strategy from research prototypes to enterprise-grade SaaS platforms supporting both on-premise and cloud deployments
Standards Implementation: Translate AI Act and ISO/IEC requirements into robust, auditable technical architectures
Integration Strategy: Enable seamless integration of our quality control modules into diverse enterprise AI systems and workflows
What You Bring
5-8 years technical leadership in enterprise SaaS, preferably in AI/ML, compliance tech, or regulated industries
Platform architecture expertise: Experience building modular, multi-tenant systems serving diverse customer segments
Regulatory technology experience: Understanding of compliance requirements, audit trails, and enterprise security standards
Team building skills: Proven ability to recruit, lead, and scale engineering teams in startup environments
Entrepreneurial mindset: Comfortable with ambiguity and driving technical decisions in fast-moving markets
Bonus Points
Experience with evaluation frameworks, testing platforms, or certification systems
Background in standards implementation (ISO, IEC, or similar regulatory frameworks)
Knowledge of EU AI Act, GDPR, or other AI governance requirements
Previous CTO experience in B2B SaaS or enterprise compliance tools
Network in AI research, standards bodies, or regulated industry technology
What We Offer
Co-founder equity with range between 8%-15% (negotiable based on experience and timing), spin-off planned with investor capital in Q1 2026 – salary payments negotiable thereafter
Technical ownership: Define the architecture that will power the future of AI compliance across Europe and beyond
Mission-driven impact: Build technology that ensures AI systems meet the highest standards of safety and transparency
Research integration: Work directly with leading AI researchers and standards bodies to implement cutting-edge evaluation methods
Partnership with domain expert: Collaborate with a founder deeply embedded in AI regulation, standards, and compliance
Flexible working environment: Remote, hybrid, or on-site: we adapt to what works best for building great technology
