We’re looking for an experienced VP of R&D to lead the company’s entire engineering organization in a fast-growing data/AI-driven environment. This role combines deep technological vision, organizational leadership, and hands-on management of managers and multi-disciplinary teams (Backend, Frontend, Data, ML, Infra, QA, DevOps). The VP R&D will be responsible for delivering core products at scale — with high velocity, enterprise-grade quality, and strict SLAs — while collaborating closely with Product, Data, Go-To-Market, and Compliance teams.

IVIX is the first AI-powered solution designed specifically to address a $20 trillion problem: illuminating the global shadow economy. IVIX leverages Open-Source Intelligence (OSINT) and highly advanced, cutting-edge technologies to reveal illicit business activity around the world, empowering governments in their mission to fight financial crime and close the tax gap.

IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age.

Led by security, tech, tax and financial crime experts, and advised by a diverse team of former IRS commissioners, IVIX works with dozens of state and federal governments globally.

• Leading the R&D organization with vision, clarity, and a strong focus on building and scaling high-performing teams.
• Define and execute the long-term R&D strategy and roadmap, translating business goals into measurable engineering outcomes.
• Build, scale, and lead a large, high-performing R&D organization, including managing managers and domain leaders (Managers/Directors).
• Own end-to-end delivery — from architecture and development to testing, security, monitoring, and production operations.
• Continuously improve quality, speed, and efficiency through Agile/Lean methodologies, DevOps culture, and data-driven engineering.
• Design and implement scalable data architectures — including Data Platforms, Pipelines, Lakehouse environments, and MLOps frameworks.
• Balance innovation with technical debt management; drive standards, design reviews, and production readiness processes.
• Hire, mentor, and retain top engineering talent, fostering a culture of excellence, ownership, and collaboration across teams.
• Work closely with Product, Design, Legal, Compliance, and Sales to accelerate time-to-value and support enterprise-level customers.

• 10+ years of engineering leadership experience, including proven track record managing managers (Managers/Directors).
• Experience leading large-scale R&D organizations with responsibility for 30+ engineers across multiple teams.
• Strong background in data systems — including Data Platforms, Pipelines, Data Warehouses/Lakes, Observability, and Data Quality.
• Hands-on experience integrating ML/AI/Analytics into products or infrastructure (MLOps, models in production – strong advantage).
• Leadership experience across multiple companies, including startups in growth stages (Seed–B/Scale-Up) and cloud environments (AWS/GCP/Azure).
• Proven ability to deliver high-quality production systems at scale — with strong emphasis on reliability, security, and compliance.
• Deep technical understanding of distributed systems, microservices architectures, CI/CD pipelines, and DevOps/Platform Engineering.
• Experience defining and tracking engineering processes and KPIs (DORA/Flow metrics, quality, SLAs) and managing executive-level stakeholders.
• Experience managing significant budgets, building organizational structures, and recruiting and mentoring senior technical leaders.
• Excellent communication skills in Hebrew and English, including technical writing and executive presentations.
• Proven experience working in startup environments is required