Lead Domain Engineering Specialist (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead Domain Engineering Specialist (AI Security): Driving customer outcomes across security-related products and AI-driven expansion within the Data Platform with an accent on data modeling, risk mitigation, and security architecture. Focus on aligning AI/ML infrastructures with security governance frameworks and optimizing data resilience maturity.
Location: Remote (United States)
Salary: $149,600 — $383,000 USD (depending on geographic zone)
Company
is the Data and AI Trust Company, specializing in data resilience and security posture management to help organizations secure and scale AI.
What you will do
- Engage customers on security-related products, architectures, and risk topics across the Data Platform (VDP).
- Run readiness checks and lead data modeling to validate solution designs and accelerate decision-making.
- Monitor attack surfaces and vulnerabilities using DRMM scoring and telemetry to capture health check opportunities.
- Collaborate with CISO, CIO, and CDO stakeholders to discuss AI risk, data governance, and enterprise AI adoption.
- Support Account Executives on security- and AI-driven expansion motions for Enterprise and Commercial-Named accounts.
- Influence product roadmap priorities based on customer feedback and technical gaps.
Requirements
- Must be based in the United States.
- 5+ years of experience in engineering or architecting cybersecurity, data security, or AI/ML-driven platforms.
- Deep expertise in data security and governance, specifically DSPM and DLP across cloud and hybrid environments.
- Hands-on experience with AI security, governance platforms (e.g., AI-SPM), and model lifecycles.
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field.
- Relevant certifications such as CISSP, CISM, or CompTIA Security+.
Nice to have
- Familiarity with AI governance frameworks like NIST AI RMF, EU AI Act, or ISO standards.
- Advanced degree in a technical field.
- Experience with DRMM or similar data/AI trust maturity models.
- AI security or governance-related certifications.
Culture & Benefits
- Unlimited paid time off and 12 paid holidays, including global e Days for self-care.
- Comprehensive medical, dental, and vision coverage starting on day one.
- 401(k) retirement plan with company matching contributions.
- Paid parental leave (8-16 weeks) and fertility/adoption support through Maven.
- Professional growth opportunities through LinkedIn Learning, O’Reilly, and an annual Global Day of Learning.
- 24/7 virtual veterinary care at no cost via AirVet.
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