Governance, Risk & Compliance

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role * Open to hiring remote across the US, we also have offices in NYC, San Francisco, and Seattle As a member of the GRC staff at Runway, you will contribute to our governance, risk management, and compliance programs during a pivotal time in both our company's growth and the broader AI industry. This role combines traditional information security compliance with the unique challenges of ensuring safe and responsible AI system development. You will play a crucial role in ensuring our AI systems are developed and deployed responsibly, helping us maintain trust with customers, regulators, and the public while advancing the frontiers of artificial intelligence. What you’ll do Design and implement a comprehensive GRC framework that addresses both traditional security controls and novel AI safety considerations Lead engagements with external auditors and assessors to obtain and maintain critical security certifications (SOC 2, ISO 27001/27701/42001, FedRAMP, etc.) Own and help fulfill GDPR data subject requests, including access (DSARs) and erasure/deletion requests that involve coordinating with Legal, Support, and engineering on data sourcing and response workflows Review and redline the security and data protection terms of customer and vendor contracts (TOMs, DPAs, MSAs) in partnership with Legal Partner with AI research teams to develop and implement appropriate safeguards and controls for machine learning systems Create and maintain security policies, standards, and procedures that