Senior Counsel, Privacy & AI Governance

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Legal

This role focuses on leading global privacy and AI governance efforts, advising Product, Engineering, Data Science, Security, and Go-to-Market teams on privacy, data protection, and responsible AI issues. It involves developing policies and frameworks for responsible AI development and deployment, including compliance with emerging regulations like the EU AI Act. The role also requires managing engagements with regulators and standards bodies, and building data governance infrastructure.

What you'd actually do

  1. Own and operationalize the global privacy program across the company
  2. Lead AI governance strategy, policy development, and implementation
  3. Advise Product, Engineering, Data Science, Security, and Go-to-Market teams on privacy, data protection, and responsible AI issues
  4. Conduct privacy and AI impact assessments and support regulatory compliance efforts worldwide
  5. Advise on cross-border data transfers, SCCs, adequacy frameworks, and other transfer mechanisms

Skills

Required

  • 8+ years of law firm and/or in-house experience, with substantial privacy and data protection focus
  • Deep experience advising on GDPR and CCPA/CPRA compliance programs
  • Experience with data processing agreements and cross-border data transfer mechanisms, including SCCs and adequacy frameworks
  • Experience with AI regulatory requirements, including the EU AI Act or similar emerging frameworks
  • Experience advising on machine learning data use, training data governance, algorithmic bias and fairness, and transparency obligations
  • Experience in a technology company in-house role, or in a dedicated privacy and data security practice at a law firm
  • J.D. from an accredited law school and active membership in at least one state bar

Nice to have

  • CIPP/E, CIPP/US, or equivalent privacy certification
  • Experience with autonomous systems, sensor data, and the privacy implications of physical AI
  • Experience spanning both law firm and in-house practice

What the JD emphasized

  • AI regulatory requirements
  • EU AI Act
  • machine learning data use
  • training data governance
  • algorithmic bias and fairness
  • transparency obligations