Director/Principal Counsel, AI Governance

Unity Technologies•Mountain View, CA

2d•$205,000 - $255,000

About The Position

We are seeking an experienced AI Governance Lead to design, implement, and oversee privacy-centric governance for AI development and deployment. Reporting into the VP, Deputy General Counsel, Privacy & AI Governance, this role acts as a framework owner, advisor, and process architect, ensuring compliance with international AI laws, privacy regulations, and ethical standards through close collaboration with Product, Security, Legal, and Engineering teams.

Requirements

At least seven (7) years experience in privacy, compliance, or governance roles, with three (3) years focused on AI or data-centric products.
Strong knowledge of international AI regulatory frameworks (e.g., EU AI Act), global privacy laws (e.g., GDPR, CCPA), and discrimination/bias standards.
Experience designing policies, templates, QMS, and documentation for regulated technologies.
Familiarity with incident response, risk management taxonomies, and model performance monitoring.
Proven ability to collaborate cross-functionally with Product, Engineering, Legal counterparts, and Security teams; excellent communication skills.

Nice To Haves

Experience with accessibility standards, cybersecurity frameworks, and contractual provisions for technology products.

Responsibilities

Lead AI Program Governance and Policy: Determine the applicability of international AI laws, lead policy development, act as the Framework Owner, and establish ethical standards and clear guidelines for AI development. Streamline substantial assessments (Privacy, Safety, AI) and propose AI-enabled tooling to reduce effort.
Manage AI Incident Response: Review and modify incident response processes to incorporate AI-specific triggers and regulatory reporting lines, aligning them with existing roles and Security’s AI Acceptable Use Policy.
Oversee AI Risk Management: Maintain the AI Risk Management Policy and define a standard risk taxonomy (rights-based versus technical risks).
Establish Data Governance Standards: Define standards for dataset governance, including design, origin review, labeling, bias assessment, and data quality. Conduct Privacy reviews and advise on legal standards related to bias and discrimination.
Maintain Documentation and Record keeping: Own templates for AI technical and transparency documentation and update retention schedules to include AI-related records.
Ensure Accuracy, Robustness, and Cybersecurity: Advise on adapting security and compliance programs to meet AI-specific legal obligations and collaborate with technical teams to ensure models satisfy defined accuracy metrics and compliance standards.
Drive Accessibility: Provide an overview of AI-related accessibility requirements and partner with UX/UI and Product to ensure outputs and interfaces meet legal standards.
Implement Quality Management and Monitoring: Review and adjust standard Quality Management System (QMS) protocols for AI design, testing, validation, and post-market monitoring. Maintain standard processes and reporting templates for continuous model performance and compliance.
Manage User Transparency and Disclosures: Develop standard guidance on language and timing for disclosures (e.g., “AI Generated”) and coordinate implementation in the UI with Product.
Uphold AI Ethics: Uphold organizational principles for ethical AI, maintain the AI/Model Ethics Assessment template, and contribute to operating an AI Ethics Board.
Advise on Contractual Provisions: Provide guidance on contractual safeguards and draft standard clauses and pass-through terms for High-Risk components, supporting vendor/customer negotiations.
Handle Registration and Training: Manage required regulatory filings and registrations. Develop and deliver role-based training on AI policies/compliance.
Specialist Consultation: Coordinate specialized legal analysis (e.g., IP, Employment) with appropriate co-counsel.