Engineering Manager, Privacy Infrastructure Engineering

The Team

Privacy & Data Protection Engineering (PDPE) at Netflix ensures responsible data use and provides confidence that privacy and security risks are managed across the company. Within the PDPE organization, Privacy Infrastructure Engineering (PIE) partners cross-functionally with its peer groups (Privacy Engineering and Data Protection) and collaborates with teams across Netflix.

PIE drives privacy and data protection across the data lifecycle by developing and evaluating tooling. This includes development and onboarding of horizontal privacy solutions, automation of privacy rights management, and privacy/data protection risk measurement and mitigation. They closely collaborate with a diverse set of stakeholders spanning Data Platform Infrastructure, Data Sciences Engineering, Security, Legal, and Product teams.

The Role

We’re looking for an Engineering Manager for PIE to lead a team of software engineers to develop and maintain privacy protective features and tools to meet regulatory requirements while driving data enablement for the business. You will partner with PDPE leadership to define and execute a consumer-centric approach for data collection, consent, and privacy controls, seamlessly integrating these solutions into our complex data ecosystem. Given the scale of the organization, this role will require development of strong partnerships across disciplines to develop solutions that add value for the organization and enable the product teams to focus on their core offerings by abstracting foundational privacy needs.

Desired Background and Skills

• Proven leadership experience in managing software development teams and building privacy and/or security solutions, preferably in a large scale, data driven environment

• Coached and managed high performing teams by providing feedback in an inclusive and growth-oriented manner to help individuals achieve their professional goals

• Comfort with driving technical decisions in an ambiguous, fast-moving environment with competing priorities

• Previous experience as a hands-on individual contributor, bringing deep technical credibility and practical insight to leadership decisions

• Demonstrated risk mitigation and data enablement of privacy tooling through measured outcomes and metrics

• System design and full stack development background with ability to delegate and empower team members with ownership

• Deep understanding of privacy and security frameworks, data classification, data protection controls, and records retention

• Strategic and pragmatic thinking for product strategy roadmaps to improve existing tooling for privacy rights management and metadata catalog management and scaling privacy solutions across the enterprise

• Built tools for consent management, data use limitations, and/or data protection controls across the data life cycle

• Effective cross-functional collaborator with a demonstrated ability to build strong partnerships and prioritize privacy initiatives across engineering, product, legal and security teams

• Demonstrated experience using structured discovery of privacy gaps to inform prioritization and justify investment in mature privacy remediation programs

• Enthusiasm for GenAI being a force multiplier for scaling privacy and data protection