Product Manager, Safety Measurement
Owns strategy for measuring harm and safeguard efficacy in production for OpenAI's AI models. Partners with research, engineering, and policy teams to define metrics, roadmaps, and success criteria, representing safety progress to leadership. Requires 6+ years PM experience in AI safety or related fields.
About the job
Responsibilities
- Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms.
- Define strategic priorities and product roadmaps focused on improving safety measurement approaches while scaling our measurement platform to more use cases, products, and cross-functional team needs.
- Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety measurement products.
- Develop and continuously refine clear, actionable success criteria that effectively capture our ambitions with safety measurement.
- Represent quantitative progress on safety to senior leadership.
Requirements
- 6+ years of product management or related industry roles, with specific expertise in AI safety, trust & safety, integrity, or related domains.
- Background in data science, statistics, economics, or related fields.
- Deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.
- Hands-on experience driving consensus and action in ambiguous spaces.
- Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.
- Highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.
- Enjoy working in a fast-paced, high-growth environment.
Skills
Ai Safety, Data Science, Statistics, Product Roadmap, Safety Metrics, Trust & Safety, Cross-Functional Collaboration, Quantitative Analysis, Ai Research Integration
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