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Veeam
Veeam

Lead Domain Engineering Specialist

RemoteUnited States only
Published
Role
Security
Experience
Lead
Company size
Enterprise
$206.3k–$383k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Lead Domain Engineering Specialist with 5+ years in cybersecurity, data security, or AI/ML platforms. Requires a technical degree and relevant certifications. Must have deep expertise in data security and governance (DSPM, DLP) and hands-on experience with AI security/governance solutions. Needs to engage CISO/CIO stakeholders on AI risk and data governance. Remote role in the US.

Core skills

data securityAI securitygovernance

Required skills

cybersecurityAI/ML-driven platformsSecurity EngineerArchitectCloud Solution ArchitectMLOps/ML EngineerAI Security Engineerdata governanceDSPMDLPAI governanceAI platformsSecuriti AIAI-SPMdata privacy automationmodel governanceAI risk management frameworksAI/ML architecturesmodel lifecyclestraining data pipelinesmodel deploymentinference controlsprompt injectiondata leakageadversarial inputsAI/data observabilitytelemetrymonitoringAI riskenterprise AI adoption strategiessolution designPOCsmaturity modelingDRMMdata/AI trust maturity modelsAI governance frameworksregulatory landscapesNIST AI RMFEU AI ActISO standardsenterprise architecturescommunicationstakeholder managementcross-functional collaboration

Optional skills

VMCE certification

Required languages

English

What you'll do

  • Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).
  • Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
  • Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.
  • Validate designs to de-risk adoption and accelerate time to value.
  • Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).
  • Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.
  • Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.
  • Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.

What they require

  • 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).
  • Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field; advanced degree preferred.
  • 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.
  • Deep expertise in data security and governance , including DSPM and DLP, with demonstrated experience securing data across cloud, SaaS, and hybrid environments.
  • 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).
  • 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).
  • Experience with AI/data observability, telemetry, and monitoring across both traditional systems and AI-driven workloads.
  • 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 (experience with DRMM or data/AI trust maturity models is a plus).
  • Familiarity with AI governance frameworks and regulatory landscapes (e.g., NIST AI RMF, EU AI Act, ISO standards) and applying them to enterprise architectures
  • Strong communication, stakeholder management, and cross-functional collaboration skills, with the ability to translate complex AI/security concepts into actionable business outcomes.

Benefits

  • Unlimited paid time off
  • 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage starting on your first day
  • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
  • 401(k) retirement plan with company matching contributions
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • AirVet: 24/7 virtual veterinary care at no cost
  • Legal services, identity protection, and supplemental health insurance options
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

privately held information technology company

🇺🇸 United StatesData ManagementEnterpriseveeam.com/

What people say about this company

3.6/ 5

$206.3k–$383k/yr