Security Engineer, SpaceXAI

• The ideal candidate combines deep fluency across modern security and AI frameworks with GRC engineering skills: you translate control requirements into technical implementations, partner with engineers to bake compliance into architecture and CI/CD, and replace point-in-time checklist work with continuous, engineered assurance
• Bachelor's degree in computer science, Information Security, Cybersecurity, or in an engineering/STEM field
• 3+ years of experience in GRC, security compliance, or technology audit roles with hands-on GRC engineering responsibilities
• Demonstrated experience implementing and maintaining security compliance frameworks in cloud environments (AWS, GCP, or Azure)
• Expert-level working knowledge of several of the following: SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, and ISO 42001 — including building and running controls, not only reading the frameworks
• Experience with Compliance-as-Code practices and GRC automation tooling (e.g., Vanta, Drata, or similar), with a bias toward continuous monitoring
• Ability to evaluate control objectives against real IT and cloud configurations and to work alongside engineers on remediation

Desirable

• We are seeking a mid-level Governance, Risk, and Compliance (GRC) Engineer to join our security and AI governance team at SpaceXSI. You will set the standards the organization builds to, design and implement controls, and automate the unglamorous parts of compliance so a fast-moving team can ship safely
• You will collaborate across engineering, legal, product, and leadership to keep our AI systems audit-ready across enterprise, commercial, and public-sector environments
• This role may also include additional tasks and responsibilities as needed to support the team and evolving business priorities
• Execute security compliance implementation and audits across core frameworks including SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, ISO 42001, and the EU AI Act, including control design, mapping, gap assessment, evidence collection, and remediation tracking
• Build and maintain Compliance-as-Code and continuous compliance capabilities — policy-as-code, automated control validation, continuous evidence pipelines, and monitoring integrated into development and deployment workflows — so the company can move fast without cutting corners
• Operate and extend GRC platforms (e.g., Vanta) as the system of record for controls, evidence, and audit readiness; integrate them with cloud, identity, and engineering tooling to reduce manual toil
• Partner with engineering and architecture to embed compliance requirements early in design reviews; translate framework obligations into clear technical control narratives that satisfy auditors without slowing delivery
• Develop, maintain, and continuously improve corporate policies, standards, and procedures that support the company's governance and AI management system posture
• Identify, assess, and prioritize risks related to AI/ML operations, cybersecurity, regulatory compliance, data privacy, intellectual property, and cloud deployments; distinguish meaningful business risk from compliance theater
• Lead risk assessments and compliance reviews for new products, model deployments, features, and architectural changes, with particular attention to AI system risks (data handling, model governance, agentic and conversational surfaces)
• Own and cultivate relationships with external auditors, assessors (e.g., QSAs where applicable), and regulators; serve as the bridge between auditors and internal teams so requests are reasonable, clear, and relevant to our stack
• Champion a culture of security and compliance across the company — educating teams on why controls exist, not only enforcing them