Lead Domain Engineering Specialist
$206,300–$383,000 year
RemoteUnited States or Seattle, Washington, United States
Job Summary
Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform. Run readiness checks and lead data modeling to validate solution design, while monitoring attack surfaces, vulnerabilities, and telemetry against the Data Resilience Maturity Model. Synthesize inputs from account health and QBRs to discuss risk, status, and expansion opportunities with CISO/CIO stakeholders. Validate designs to de-risk adoption and support Account Executives on security- and AI-driven expansion motions. Operate as a pooled resource covering Enterprise and Commercial-Named accounts, typically at a 1-to-6-8 coverage ratio with Customer Success Engineers.
Required Qualifications
- 5+ years of experience in engineering or architecting cybersecurity, data security, or AI/ML-driven platforms
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field
- Relevant certifications (e.g., CompTIA Security+, CISSP, CISM, or equivalent)
- Deep expertise in data security and governance, including DSPM and DLP
- Hands-on experience with AI security, governance, or emerging AI platforms
- Working knowledge of AI/ML architectures and model lifecycles
- Experience with AI/data observability, telemetry, and monitoring
- Demonstrated ability to engage CISO/CIO/CDO stakeholders on AI risk, data governance, resilience, and enterprise AI adoption strategies
- Hands-on experience with solution design, POCs, and maturity modeling
- Familiarity with AI governance frameworks and regulatory landscapes (e.g., NIST AI RMF, EU AI Act, ISO standards)
Desired Qualifications
- advanced degree
- AI security or governance-related certifications (e.g., AI/ML, privacy, or data governance)
- experience with DRMM or data/AI trust maturity models
- VMCE certification
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