Develop insights, recognize patterns, and assess AI system architectures with an eye toward providing actionable risk mitigation guidance. Use your deep knowledge of use cases and product deployments to develop more generalizable, scalable policies to account for the risks and impacts of AI systems deployed in an increasingly wide range of social contexts. Partner with engineering teams to contribute to, prioritize, and deliver on product roadmaps, primarily by evaluating their upcoming product releases for responsible AI risks and evidence of mitigation effectiveness. Develop a deep understanding of AI technology and responsible AI engineering implementations to connect to and develop AI policy. Think through global challenges and drive accountability and results through others. Manage governance programs and processes for AI systems to ensure that specific performance requirements and standards are met throughout the development lifecycle. Create relationships to drive orchestration and integration efforts for the development and implementation process of responsible AI for multiple feature areas (e.g., product, services) and large and complex cross-functional projects with internal teams. Collaborates and coordinates across organizations to ensure alignment on product management and release, including tradeoffs, adjustments, and improvements as feasible. Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, applied science, technology policy, research, governance, product development; or related area OR equivalent experience. 3+ years experience managing cross-functional and/or cross-team projects. 3+ years work experience on issues pertaining to artificial intelligence, machine learning, or responsible AI, such as AI/ML engineering, AI-related technical program management, AI product development, data science with AI/ML components, inclusive design, ethics, safety, fairness, explainability, accessibility, privacy, security, AI governance, and/or AI policy. Experience with generative AI a plus but not required. Specific technical experience in fields of responsible AI, AI ethics, AI safety, digital safety, or security a plus but not required. Experience managing cross-functional and/or cross-team projects. Ability to navigate ambiguity and adapt to rapidly changing environments and demands. When dealing with emergent and complex topics, you strive to create structure and process that will support progress while remaining flexible as positions evolve. Experience working in or with a large, matrixed organization. Proven record of being an effective team player dedicated to collective successes. The ability to promote cooperation and solve problems in a timely, creative, and professional manner. Proficiency at working closely and collaboratively with multiple departments and executives, and in cross-functional teams. Ability to collect and reason through multi-stakeholder perspectives, including those of executives, engineers and developers, sellers, researchers, civil society organizations, and regulators, all of whom grapple with new and complex technologies and their implications for society. Highly developed written and verbal communication skills. Ability to proactively advance company positions through high-impact engagement in small and/or large group settings, including communications with business leaders. Experience in strategic program management, execution, operations, and evaluation. Demonstrated ability to manage multiple priorities, projects, and deadlines simultaneously. You can quickly spot technical and process blockers towards achieving outcomes and work collaboratively to develop strategies to overcome them. Proven record of experimentation and openness to feedback, learning from both successes and failures.