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Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team you will join other outstanding Revolutionariesin a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
We are seeking a seasoned cybersecurity leader to serve as the Director of AI Security. This individual will be responsible for developing and executing the enterprise-wide strategy to secure artificial intelligence (AI) and machine learning (ML) systems. Reporting to the IS Security Risk and Compliance VP the Director will work cross-functionally with data science engineering compliance and legal teams to ensure that AI technologies are deployed securely ethically and in alignment with regulatory and organizational standards.
This role presents an exciting opportunity to shape the future of secure AI adoption across the enterprise. The Director will lead efforts to identify and mitigate AI-specific risks establish governance frameworks and embed security into the AI/ML lifecyclefrom data ingestion and model training to deployment and this role you will call on your skills to:
Stakeholder Engagement: Build strong partnerships with AI/ML data science and engineering teams to understand their workflows and identify security needs and opportunities.
Strategic Planning: Contribute to the development of define and drive the AI security strategy policies and governance frameworks that align with enterprise risk management and responsible AI principles.
Risk Management: Lead threat modeling risk assessments and security reviews for AI/ML systems including model integrity data privacy and adversarial robustness.
Project Implementation: Oversee the integration of security controls into AI platforms and MLOps pipelines. Ensure secure development lifecycle practices are followed.
Incident Response: Develop and maintain incident response plans for AI-related threats. Lead investigations and remediation efforts for AI system breaches or anomalies.
Compliance & Ethics: Collaborate with legal and compliance teams to ensure AI systems meet regulatory requirements (e.g. NIST AI RMF EU AI Act) and ethical standards.
Performance Monitoring: Track and report on AI security metrics and posture. Recommend improvements based on threat intelligence and emerging trends.
Training & Awareness: Lead internal education efforts to promote AI security best practices across technical and non-technical teams.
Innovation & Research: Stay informed on the evolving threat landscape emerging technologies and academic research related to AI security.
Generative AI (GenAI): Develop and implement security strategies for GenAI models and applications ensuring responsible use and protection against emerging threats.
Required Skills Experience and Education:
Bachelors degree or equivalent and a minimum of 15 years in cybersecurity 8 years of leadership with at least 5 years focused on AI/ML security or adjacent domains.
Deep understanding of AI/ML architectures data science workflows and associated security risks.
Experience with adversarial machine learning model inversion data poisoning and other AI-specific attack techniques.
Familiarity with cloud-native AI platforms (e.g. Azure ML AWS SageMaker Google Vertex AI).
Proven track record of leading cross-functional teams and driving security initiatives in complex environments.
Strong knowledge of regulatory frameworks and standards related to AI and data privacy.
Highly organized with strong attention to detail and accuracy.
Excellent communication presentation and stakeholder engagement skills.
Ability to manage multiple projects and priorities autonomously.
Preferred Skills:
Team leadership experience preferred.
Masters degree or equivalent in Cybersecurity Computer Science Data Science or a related field.
Experience implementing secure MLOps pipelines and AI governance frameworks.
Familiarity with AI assurance tools and techniques (e.g. explainability fairness bias detection).
Certifications such as CISSP CCSP or emerging credentials in AI security (e.g. Certified AI Security Specialist).
Experience working in regulated industries such as healthcare finance or life sciences.
Participation in AI security research communities or standards bodies is a plus.
Experience with enterprise risk management and third-party AI risk assessments. #LI-Hybrid #LI-YG1
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role level and location. Individual base pay salary is determined by multiple factors including job-related skills experience market dynamics and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed which includes competitive cash compensation robust equity awards strong benefits and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race color religion gender sexual orientation gender identity/expression national origin/ancestry age disability marital status medical condition and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect process and use any personal data that you provide to us in accordance with ourCCPA additional information please contact.
Required Experience:
Director
Full Time