Chief Technology Officer & Co-Founder, Merantix

• This role is ideal for someone who thrives at the intersection of AI, real-world systems, and operational automation
• You are a highly motivated, entrepreneurial engineering leader with a strong background in AI/ML, computer vision, and building scalable software systems
• You love solving real-world problems and are excited about building an industry-defining deep-tech product from scratch
• MSc/PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field
• Strong expertise in computer vision, MLOps, and model deployment
• Experience designing and owning complex distributed systems and backend architectures
• 3+ years of experience in leading engineering teams or tech strategy (startup or high-growth preferred)
• Hands-on ability to build prototypes quickly and evolve them into production systems
• Strong understanding of data infrastructures, integrations, APIs, and real-time pipelines
• Excellent communication skills and eagerness to co-own product, obsess over customer processes, and business outcomes
• Entrepreneurial mindset: you enjoy ambiguity, move fast, and bias for action
• If you are passionate about using AI to transform physical operations at scale, this role is for you

Desirable

• As CTO & Co-Founder, you will build the technology strategy from 0 to 1 and lead the development of our computer-vision-driven yard automation platform.
• You will work directly with the CEO/founder to validate customer pain points, design the technical architecture, and build a world-class engineering organization
• This is a hands-on, entrepreneurial, high-ownership role for someone who wants to build deep-tech infrastructure for one of the largest industries in the world
• Design the core system architecture for a real-time yard intelligence platform (CV + IoT + data pipelines + backend services + integrations)
• Evaluate and implement computer vision pipelines: object detection, tracking, ID association, anomaly detection, and spatial reasoning
• Build reliable, scalable data infrastructure (event streams, geospatial models, digital twin layers)
• Develop and iterate models for tracking, recognition, mapping, and behavior prediction
• Set engineering best practices across CI/CD, testing, reliability, security, and data protection (GDPR)
• Build early prototypes that can operate in messy, real-world industrial environments
• Hire and lead a cross-disciplinary engineering team (CV, backend, platform, MLOps)
• Establish a culture of excellence, autonomy, pragmatism, and speed
• Partner with the CEO in customer discovery, PoCs, and design partner engagements
• Drive the technical roadmap and translate customer workflows into product capabilities
• Ensure system robustness and safety for mission-critical operations (yards never sleep)
• Communicate clearly with customers, partners, investors, and internal stakeholders