Apple
Director of Privacy Engineering, Services
$311K–$497K
Cupertino, California · Director · Full-time · Posted Jul 22, 2026
- Experience
- 15+ years of software development, including 5+ years leading engineering organizations with multiple layers of management and 3+ years in privacy leadership.
- Education
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
About the job
Leads Apple Services Engineering’s privacy organization, building privacy-preserving systems and practices and advising leaders and teams on privacy strategy, including challenges from AI features.
What you'll do
- Set technical direction, structure, and culture for the privacy engineering organization; recruit and develop talent.
- Direct privacy-enabling services, tools, and platforms, and scale privacy-by-design guidance and education across Apple Services Engineering.
- Advise stakeholders and lead privacy approaches for AI features and regulatory compliance, including GDPR.
What they ask for
- 15+ years of software development experience, including 5+ years leading engineering organizations with multiple management layers and 3+ years in privacy leadership.
- Experience recruiting and developing leadership talent and building high-performing engineering cultures at scale.
- Deep expertise designing, building, and operating large-scale privacy systems, tools, and infrastructure; command of privacy-enhancing technologies.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Experience addressing AI/ML privacy challenges, including training data governance and model inference privacy.
- Experience with privacy strategy, privacy regulations such as GDPR and CCPA, or geographically distributed teams.
Pay
$311,100 and $496,900 USD base salary
Tools
differential privacy, federated learning, on-device processing, tokenization, data de-identification, GDPR, CCPA
AI focus
Lead the invention of privacy approaches for AI features, including challenges such as training data governance and model inference privacy.
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