Senior Sales Engineer - Data & AI Security

Veeam is the Data and AI Trust Company, specializing in data resilience and security. They are seeking a Senior Sales Engineer to provide technical leadership in sales, focusing on the Securiti AI portfolio, guiding customers through solution design and delivering demos to showcase value.

Responsibilities:

• Serve as the primary technical data protection expert for Securiti AI and Veeam solutions throughout the pre-sales cycle
• Lead discovery to translate risk, architecture, and business goals into a practical solution approach
• Design and deliver tailored demos and hands-on proof-of-concepts that prove value in the customer’s environment
• Drive technical conversations on AI Trust, Data Discovery, DSPM, Data Access & Governance, and Compliance (including GDPR, HIPAA, PCI-DSS)
• Provide solution guidance across AWS, Azure, and GCP, including cloud security best practices and identity/access concepts
• Partner cross-functionally with sales, product, engineering, and customer success to ensure clean technical handoff and customer confidence post-sale
• Hone your professional development through hands-on experimentation, team collaboration, robust onboarding, and more
• Work ~80% remote, with client-facing travel usually 1-2 short trips per month

Requirements:

• Extensive enterprise sales experience in data protection, cloud security, networks, and AI
• Proven ability to quickly develop trust and credibility with both technical and business stakeholders
• Strong technical leadership foundation in enterprise data protection, cloud security, networks, and AI
• Hands-on experience with AWS, Azure, or GCP (multi-cloud exposure strongly valued)
• Deep working knowledge of data privacy/security and compliance programs, especially GDPR, HIPAA, and PCI-DSS, plus data governance and access controls
• Ability to build and run compelling demos and POCs while earning trust as a customer-facing technical lead
• Practical technical fluency with areas such as Linux, Kubernetes/containerized environments, and modern cloud/data architectures
• Strong expertise with DSPM, DLP, data discovery approaches (e.g., patterns/keywords/dictionaries/regex/exact matching) and with common cloud/data systems (e.g., object storage and enterprise databases/warehouses)
• Experience applying or discussing GenAI security in real enterprise contexts, including RAG (Retrieval-Augmented Generation) concepts and vector databases / indexing approaches
• Exposure to CASB / SASE / DLP technologies and how customers operationalize them
• Relevant certifications (CISSP, CISM, AWS/Azure/GCP)