Lead Domain Engineering Specialist

Join Veeam as a Lead Domain Engineering Specialist, where you will partner with Customer Success Engineers and Account Executives to drive customer outcomes across security-related products and use cases within the Veeam Data Platform. You will lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model. This role requires a strong technical understanding of Veeam products, experience in cybersecurity, data security, or AI/ML-driven platforms, and excellent communication and collaboration skills.

• Collaborer avec les ingénieurs de réussite client et les représentants des ventes pour améliorer les résultats des clients en matière de sécurité.
• Diriger les vérifications de préparation, la modélisation des données et les conversations sur les risques avec les parties prenantes.
• Engager les clients sur les produits liés à la sécurité, les architectures et les sujets de risque à travers la plateforme de données Veeam.
• The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes
• Demonstrated ability to engage CISO/CIO/CDO stakeholders on AI risk, data governance, resilience, and enterprise AI adoption strategies
• VMCE certification (can be completed after joining)
• Familiarity with AI governance frameworks and regulatory landscapes (e.g., NIST AI RMF, EU AI Act, ISO standards) and applying them to enterprise architectures
• Hands-on experience with solution design, POCs, and maturity modeling (experience with DRMM or data/AI trust maturity models is a plus)
• Hands-on experience with AI security, governance, or emerging AI platforms, including Securiti AI or similar solutions (e.g., AI-SPM, data privacy automation, model governance, or AI risk management frameworks)
• 5+ years of experience in engineering or architecting cybersecurity, data security, or AI/ML-driven platforms (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer, AI Security Engineer)
• Experience with AI/data observability, telemetry, and monitoring across both traditional systems and AI-driven workloads
• Working knowledge of AI/ML architectures and model lifecycles, including training data pipelines, model deployment, inference controls, and associated security risks (e.g., prompt injection, data leakage, adversarial inputs)
• Strong communication, stakeholder management, and cross-functional collaboration skills, with the ability to translate complex AI/security concepts into actionable business outcomes
• Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field; advanced degree preferred
• Deep expertise in data security and governance, including DSPM and DLP, with demonstrated experience securing data across cloud, SaaS, and hybrid environments
• Relevant certifications (e.g., CompTIA Security+, CISSP, CISM, or equivalent); AI security or governance-related certifications (e.g., AI/ML, privacy, or data governance) are strongly preferred