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Privacy and Security Technical Assurance, Risk, Compliance and Integrity

Google
Austin, USA
Senior · 7+ years experience
Onsite
USD 136000-196000 / year
Discovered 3 days ago

Full Job Posting

Responsibilities

  • Provide separate oversight and issues as a critical second line of defense function, establishing and maintaining comprehensive technical assurance testing frameworks for AI/ML and traditional security ecosystems.
  • Design and execute technical assurance testing across both existing and emerging cybersecurity and AI controls to validate their design and operating effectiveness.
  • Lead and coordinate cross-functional security testing initiatives (e.g., targeted control validation, AI red teaming, architecture reviews) to separately assess risks across AI product areas and engineering teams.
  • Advocate for AI security assurance, effectively communicating testing results, control deficiencies, threat models, and mitigation strategies to first-line technical leadership, legal counsel and executive stakeholders.
  • Enhance awareness of emerging AI threats, translating testing insights into actionable engineering recommendations.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, or equivalent practical experience.
  • 7 years of experience in cybersecurity, technical assurance, IT audit, pen testing, or working within a second line of defense risk management function.
  • Experience with enterprise-wide or cross-functional technical project planning and execution, including partnering with legal, policy, or compliance teams.
  • Experience designing and executing security control testing methodologies and risk assessments for software, infrastructure, or AI/ML systems.

Preferred qualifications:

  • Advanced degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related field.
  • Professional AI security or audit certifications such as CISSP, CISA, CISM, AIGP, AAIA, ISO 27001/42001 Lead Auditor or equivalent technical certifications.
  • Experience working within a technology company or "Big Tech" ecosystem, navigating complex, hyper-scale infrastructure and distributed risk environments.
  • Experience operating in a second line of defense role, including providing separate tests, control testing, and oversight to first-line business and engineering teams.
  • Technical understanding of AI/ML specific vulnerabilities (e.g., adversarial attacks, training data extraction, prompt injection).

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