Privacy Security Engineer, Privacy & Data Protection - Applied AI

What you'll do

• Architect privacy capabilities and evaluation infrastructure, and drive platform-level decisions for AI-driven privacy solutions.
• Develop strategies and methods for privacy problems AI cannot yet reason about, including regulatory obligations, de-identification, data lifecycle controls, and access reasoning.
• Lead cross-organizational work, mentor engineers, and shape how privacy expertise improves AI capabilities.

What they ask for

• 8+ years of hands-on engineering experience in technical privacy, data protection, or privacy-adjacent security engineering.
• Deep expertise in at least one privacy subdomain and experience implementing privacy obligations in production systems.
• Software engineering proficiency, including code review and maintenance, in Python, PHP, Java, C/C++, or an equivalent language.
• Experience architecting privacy systems, controls, or programs at scale; defining complex ambiguous problems; and implementing responsible, ethical AI practices.

Nice to have

• Experience improving AI model performance through expert feedback, red teaming, or evaluation design; integrating AI tools into workflows; and ongoing AI skill development.
• Experience with pseudonymization lifecycle, jurisdiction- or cohort-conditioned obligations, production de-identification techniques, privacy review or incident response at scale, ML and model privacy, or community contributions.

Pay

$184,000/year to $257,000/year USD base salary; bonus and equity amounts not stated

Tools

Python, PHP, Java, C/C++

AI focus

Uses AI tools and agents to improve workflows and develops methodologies, evaluations, and expert feedback to improve AI capabilities for privacy problems.