Engineering Manager, Privacy Infrastructure Engineering

Netflix Netflix · Big Tech · United States · Remote · Engineering

Engineering Manager for Privacy Infrastructure Engineering at Netflix, leading a team to develop and maintain privacy-protective features and tools. The role focuses on meeting regulatory requirements, enabling data for the business, and partnering cross-functionally to integrate privacy solutions into the data ecosystem. Requires strong leadership, system design, and understanding of privacy/security frameworks.

What you'd actually do

  1. 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.
  2. 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.
  3. Develop solutions that add value for the organization and enable the product teams to focus on their core offerings by abstracting foundational privacy needs.
  4. Drive privacy and data protection across the data lifecycle by developing and evaluating tooling.
  5. Partner cross-functionally with peer groups (Privacy Engineering and Data Protection) and collaborate with teams across Netflix.

Skills

Required

  • Proven leadership experience in managing software development teams
  • Building privacy and/or security solutions
  • Coached and managed high performing teams
  • Driving technical decisions in an ambiguous, fast-moving environment
  • Previous experience as a hands-on individual contributor
  • Demonstrated risk mitigation and data enablement of privacy tooling
  • System design and full stack development background
  • Deep understanding of privacy and security frameworks, data classification, data protection controls, and records retention
  • Strategic and pragmatic thinking for product strategy roadmaps
  • Built tools for consent management, data use limitations, and/or data protection controls across the data life cycle
  • Effective cross-functional collaborator
  • Demonstrated experience using structured discovery of privacy gaps to inform prioritization and justify investment in mature privacy remediation programs

Nice to have

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

What the JD emphasized

  • regulatory requirements
  • privacy
  • data protection