<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong><p>CO-FOUNDER &amp; CHIEF TECHNOLOGY OFFICER - KANVAZ AI (AI-NATIVE B2B CAUSAL DECISION INTELLIGENCE PLATFORM)</p></strong><p><br/></p><p>Kanvaz AI is building the Causal Decision Operating System for global enterprise and industrial infrastructure. We bridge a critical structural divide in multinational businesses: the gap between physical operational realities (manufacturing, logistics, supply chain) and immediate financial ledger impact. By mathematically unifying core ERP financial engines (e.g., ACDOCA, MATDOC) with execution layers (WMS, TMS, MES), we eliminate the manual alignment loops and "Internal consensus taxes" that slow down fast-moving industry.</p><p><br/></p><p>Our architecture is engineered for operational sovereignty. We bypass generic deep learning models and public API wrappers in favor of rigorous, deterministic mathematical structures, running efficiently under strict physical and computational constraints. Securely executing automated corrections with zero data egress, we translate unexpected physical disruptions straight into actionable financial decisions.</p><p><br/></p><p>This is a foundational, co-founder role for a seasoned CTO. Supported by specialized deep-tech venture knowledge, we are currently in advanced validation with enterprise partners to deploy our first wave of industrial pilots in H2 2026. We are seeking a CTO to own the platform architecture, establish the core engineering tracks, and scale a world-class R&amp;D tech organization capable of deployment inside complex industrial environments.</p><strong><p><br/></p><p><br/></p><p>———————-</p><p>WHY THIS IS A HIGH-CONVICTION INFLECTION POINT</p><p><br/></p><p>Near-Term Industrial Trials: With active validation pipelines converting for H2 2026 enterprise pilot deployments, you will immediately drive product-market fit across some of the largest supply and logistics networks in t</p>he world.<p><br/></p><p><strong>Foundational Equity &amp; Platform Ownership</strong>: Take on a significant co-founder equity position, securing a major stake positioned for high-margin global scale.</p><p><br/></p><p><strong>Blank-Canvas Architecture</strong>: Build the core platform from the ground up with zero legacy engineering debt. You have total autonomy to define the developer experience (DevEx) and select the optimal tooling to scale industrial enterprise software.</p><strong><p><br/></p><p><br/></p><p>———————-</p><p>THE TECH YOU WILL ARCHITECT</p></strong><p><br/></p><p>We reject short-term tech trends like wrapper applications, flat predictive models, and conversational UI shortcuts. Our moat is built on a closed-loop cyber-physical orchestration system:</p><p><br/></p><p><strong>Cross-System Neuro-Symbolic Graph Networks</strong>: Unifying core ERP ledgers (ACDOCA, MATDOC) with real-time industrial execution layers (TMS, WMS, MES) via Relational Graph Convolutional Networks (R-GCNs) and event brokers.</p><p><br/></p><p><strong>Zero-Trust Sovereign Compute</strong>: Cloud-agnostic deployment using containerized appliances (Helm / native Kyma runtimes) inside the client’s Virtual Private Cloud (VPC), ensuring sensitive financial and operational margins never exit client custody.</p><p><br/></p><p><strong>Deterministic Causal Inference</strong>: Sandboxes operating on neuro-symbolic logic. Utilizing Directed Acyclic Graphs (DAGs) and structural equation modeling to isolate cost drivers and protect key metrics like Perfect Order Rate (POR) and Cash-to-Cash (C2C) cycles.</p><p><br/></p><p><strong>System of Record for Human Intent</strong>: Capturing cognitive planner adjustments using Inverse Reinforcement Learning (IRL) to turn unmapped operational exceptions into automated code parameters.</p><strong><p><br/></p><p><br/></p><p>———————-</p><p>YOUR PROFILE: PRAGMATIC LEADER JOINING A SEASONED DOMAIN TEAM</p></strong><p><br/></p><p>You will partner with a seasoned executive team possessing deep domain expertise across global operations and enterprise finance. We need a highly pragmatic technical leader who combines very best mathematical and programming foundations with systemic vision:</p><p><br/></p><p><strong>Unified Technical Leadership</strong>: Ability to bridge low-level physical data telemetry (industrial edge) with high-level enterprise software frameworks and real-time streaming architectures.</p><p><br/></p><p><strong>Pragmatic 0-to-1 Execution:</strong> A hands-on systems engineer ready to write foundational MVP code alongside early engineering hires, valuing clean, resilient architecture over rapid, brittle prototyping.</p><p><br/></p><p><strong>Engineering Culture &amp; Scaling:</strong> A track record of mentoring high-performing teams as CTO, enforcing strict CI/CD pipelines, optimizing development velocity, and establishing a culture of technical craftsmanship.</p><p><br/></p><p><strong>Strategic Communications:</strong> The capability to translate deep mathematical and structural choices into clear business-value narratives for industrial LPs, enterprise executives, and institutional investors.</p><strong><p><br/></p><p><br/></p><p>———————-</p><p>IDEAL BACKGROUND, EXPERIENCE &amp; DOMAIN KNOWLEDGE</p></strong><p><br/></p><p>To successfully execute this architectural vision, we anticipate the incoming CTO will possess the following profile:</p><p><br/></p><p><strong>Educational Foundations</strong></p><p>Advanced Quantitative Degree: A Ph.D. or Master’s degree in Computer Science, Applied Mathematics, Operations Research, Control Theory, or a highly quantitative physical engineering discipline. We value candidates with deep academic or applied foundations in deterministic modeling, algorithm design, and graph theory.</p><p><br/></p><p><strong>Deep Technical &amp; Architectural Domain Knowledge</strong></p><p>Neuro-Symbolic &amp; Causal AI: Practical, hands-on experience with Causal Inference frameworks (e.g., structural causal models, DAGs, do-calculus) and neuro-symbolic architectures. You understand how to combine neural network embeddings with deterministic symbolic logic.</p><p><br/></p><p><strong>Enterprise ERP &amp; Systems Topology</strong>: Deep familiarity with enterprise operational data structures. Ideally, you understand the database schemas of major ERPs (such as SAP HANA table architectures like ACDOCA/MATDOC) and industrial middleware layers (TMS, WMS, MES, SCADA).</p><p><br/></p><p><strong>Distributed Systems &amp; Zero-Trust Infrastructure:</strong> Expert-level knowledge of designing cloud-agnostic, containerized on-premise appliances. You understand Kubernetes, Helm, Kyma, secure data-egress constraints, and VPC architectures inside highly regulated corporate networks.</p><p><br/></p><p><strong>Polyglot Systems Engineering:</strong> High proficiency in high-performance languages (e.g., Rust, Go, C++, or optimized Python) and modern streaming architectures (e.g., Kafka, Redpanda) capable of managing massive, sub-second telemetry streams.</p><p><br/></p><strong><p>Proven Operator Experience</p><p>0-to-1 Deep-Tech Track Record: Experience as a CTO, Principal Architect, or Founding Engineer within an enterprise SaaS, deep-tech, or industrial technology venture. You must have led a product from pre-revenue MVP to scaled pr</p>oduction.<p><br/></p><p><strong>VPC &amp; On-Prem Deployment Experience:</strong> A proven history of shipping enterprise software directly into highly restricted, secure, or air-gapped corporate environments (e.g., financial systems, defense, or heavy manufacturing networks).</p><p><br/></p><p><strong>Elite Talent Acquisition:</strong> Proven ability to recruit, lead, and mentor high-performing teams of software engineers, data scientists, and systems architects under high-growth timelines.</p><p><br/></p><p><br/></p><p>📩<strong> Join the MissionIf you ar<p>e a pragmatic and visionary technology leader ready to build a category-defining deep-tech leader from the ground up, let's connect.<br/>Kanva&lt;/s</p><p></p>t<p>rong&gt;z.ai</p></strong></p></strong></strong> </div>