You will lead a talented group of engineers and specialists whose systems, tools, and techniques enable teams across Apple Services Engineering to deliver features and product measurement while meeting the highest privacy standards. You and your team will represent and champion Apple's privacy values alongside Engineering, Security, Compliance, Legal, Product, and other functions, educating product teams, guiding them to privacy-preserving solutions, and providing tools they can build on.
In this high-visibility role, you will serve as a privacy authority and trusted advisor to leadership across the company, shaping product decisions, driving organization-wide privacy investments, and influencing programs that impact billions of users worldwide.
As AI features grow rapidly, new privacy challenges emerge. You and your team will meet these challenges by working across disciplines to invent approaches that protect privacy on this new frontier.
If you are energized by working at massive scale and turning privacy into an engine for innovation at one of the world's most influential companies, this role was made for you.
Minimum Qualifications
15+ years of software development experience, including 5+ years leading engineering organizations with multiple layers of management and 3+ years in privacy leadership.
Proven track record of recruiting, developing leadership talent, and building high-performing engineering cultures at scale.
Deep expertise designing, building, and operating large-scale privacy systems, tools, and infrastructure, with strong instincts for technical excellence and software development best practices.
Command of privacy-enhancing technologies (PETs) such as differential privacy, federated learning, on-device processing, tokenization, and data de-identification.
Ability to shift seamlessly between deep technical details and big-picture strategy, with the judgment to know when each is required.
Exceptional communication skills: able to drive clarity in ambiguity, distill complex concepts concisely, and engage stakeholders at all levels.
Strong cross-functional collaboration skills, with a track record of influencing outcomes across diverse organizations without direct authority.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Preferred Qualifications
Proven ability to manage a broad set of stakeholders, balancing competing priorities and consistently delivering the systems and support each needs to succeed.
Experience navigating privacy challenges specific to AI/ML, including training data governance and model inference privacy.
Strong platform product sensibility: the ability to think holistically about developer experience, adoption, and business impact, not just technical or regulatory constraints.
Experience developing privacy strategy collaboratively, balancing competing trade-offs, and influencing company-wide technical direction.
Track record of building privacy programs from the ground up and scaling their impact across large organizations.
Strong understanding of privacy regulations, such as GDPR and CCPA.
Experience leading geographically distributed engineering teams.
Prior experience at a consumer technology company where privacy is treated as a product value, not just a compliance obligation.