Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
5 years in technical program management, software engineering, or research engineering.
3 years collaborating with research or engineering leads on AI/ML programs or safety frameworks.
Experience in frontier AI safety, red-teaming, or threat modeling for large language models and autonomous agents.
Knowledge or interest in AI Ethics, AI Safety, and Public Policy.
Understanding of model evaluation methodologies for assessing AI risks.
Strong analytical skills with a focus on optimizing technical infrastructure and data protection.
Responsibilities
Partner with research and engineering leads to translate safety risks into measurable technical goals.
Build cross-functional partnerships to resolve blockers and shape regulatory requirements.
Implement program management frameworks to track progress and optimize workflows.
Distill complex technical updates into actionable insights for leadership and partners.
Manage program budgets and strategic resource allocation.
Collaborate on horizon scanning to identify testing requirements from regulators and industry standards.
Benefits
Comprehensive health, dental, and vision insurance.
Generous paid time off and parental leave policies.
Retirement savings plan with company matching.
Access to professional development resources and training.
Flexible work arrangements and remote work options.
Full Job Description
Minimum qualifications:
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
5 years of experience in technical program management, software engineering, or research engineering.
3 years of experience partnering with research or engineering leads to deliver AI/ML programs, evaluation suites, or safety frameworks.
Preferred qualifications:
Experience in frontier AI safety, red-teaming methodologies, threat modeling, or dangerous capability evaluations for large language models (LLMs) and autonomous agents.
Knowledge or active interest of AI Ethics, AI Safety, Public Policy etc.
An understanding of model evaluation methodologies for determining the frontier risks of modern AI models; see Google's FSF and similar documents at other AI labs.
Strong analytical and problem-solving skills with a demonstrated ability to optimize complex technical infrastructure, compute scheduling, and data-protection protocols for sensitive dataset.
Responsibilities
Partner with research/engineering leads and SMEs to translate safety risks into measurable technical goals, driving strategic planning and compute resource allocation.
Build and guide effective cross-functional partnerships across modeling, infrastructure, evaluation, governance, and public policy teams to resolve blockers and shape regulatory requirements.
Implement robust program management frameworks (OKRs, stand-ups, retrospectives, dashboards, decision logs) to track progress, preempt risks, and optimise workflows while fostering a collaborative, interdisciplinary team culture.
Distill complex technical updates into clear, actionable insights for executive leadership and external partners. Manage program budgets, forecasting spend, purchase order reconciliation, and strategic resource allocation.
Collaborate with leadership on cross-industry 'horizon scanning' to identify and maintain visibility of current and future external and internal testing requirements from regulators, government bodies, and wider industry standards to inform program strategy.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
